Assoc. Prof. Haoran Xie's Homepage

	Assoc. Prof. Haoran Xie Ph.D., SrMACM, SrMIEEE, Associate Professor Department of Computing and Decision Sciences Lingnan University, Hong Kong Email: hrxie AT ln.edu.hk Office: SEK212/12 , Simon and Eleanor Kwok Building Lingnan University, Tuen Mun, Hong Kong Office Phone: +852-26168129 Office Fax: +852-28922442

Biography

Assoc. Prof. XIE Haoran is an Associate Professor at Department of Computing and Decision Sciences at Lingnan University, Hong Kong. He is the Editor-in-Chief of Natural Language Processing Journal (Elsevier), Computers & Education: Artificial Intelligence (Elsevier), and Computers & Education: X Reality (Elsevier), the Associate Editor of International Journal of Machine Learning and Cybernetics (Springer), Array (Elseiver), International Journal of Mobile Learning and Organisation (InderScience), and Australasian Journal of Educational Technology (ASCILITE), Topic Editor of Applied Sciences (MDPI), Academic Editor of PLoS One (PLOS) and Education Research International (Hindawi). He has totally published 309 research publications including 162 journal articles (57 papers as first or corresponding author), 6 edited books, 61 book chapters, 76 conference proceedings and 4 patents. Among all 162 journal articles, there are 131 SCI/SSCI indexed, 17 Scopus indexed, and 4 EI indexed. Some journals like IEEE TPAMI, IEEE TKDE, IEEE TCYB, IEEE TAC, IEEE Intelligent Systems, IEEE Multimedia, Information Sciences, Neural Networks, Neurocomputing, Knowledge-Based Systems, Expert Systems with Applications, Computers & Education, British Journal of Educational Technology, Educational Technology & Society, Interactive Learning Environments are top-tier journals in the related fields. Among all 61 book chapters and 76 conference proceedings, there are many papers from top-tier conferences like AAAI, IJCAI, CVPR, ICCV, ACL, EMNLP, WWW, CIKM, DASFAA, etc. He has served as 19 guest editors in special issues of journals, editors of 6 books, organization committee chairs/members of more than 57 conferences, and reviewers of 40 international journals. Till Oct 2022, his totally Google Scholar citation counts is 9250, h-index is 38, and i-10 index is 102 at Google Scholar. One of his work about Least squares generative adversarial networks (LSGAN) which has received more than 2000 citations ins Google Scholar, published in ICCV 2017 and TPAMI 2019, included by computer science courses of Stanford University and National Taiwan University, and implemented by Google TensorFlow.

Editorship

• Editor-in-Chief, Natural Language Processing Journal (Elsevier)
• Editor-in-Chief, Computers & Education: X Reality (Elsevier)
• Editor-in-Chief, Computers & Education: Artificial Intelligence (Elsevier)
• Associate Editor, International Journal of Machine Learning and Cybernetics (Springer)
• Associate Editor, Array (Elseiver)
• Associate Editor, International Journal of Mobile Learning and Organisation (InderScience)
• Associate Editor, Australasian Journal of Educational Technology (ASCILITE)
• Topic Editor, Applied Sciences (MDPI)
• Academic Editor, PLoS One (PLOS)
• Academic Editor, Education Research International (Hindawi)
• Editorial Board Member, Journal of Computers in Education (Springer)
• Editorial Board Member, Advances in Computational Intelligence (Springer)
• Editorial Board Member, Human-Centric Intelligent Systems (Springer)
• Editorial Board Member, International Journal of Distance Education Technologies (IGI Global)

Google Scholar Rank

• Educational Data Mining - World Rank #8 (Google Scholar)
• Artificial Intelligence in Education - World Rank #14 (Google Scholar)
• Digital Humanities - World Rank #10 (Google Scholar)
• Affective Computing - World Rank #30 (Google Scholar)

Research Interests

• His research interests include Natural Language Processing, Artificial Intelligence in Education, Affective Computing, Digital Humanities, and Educational Data Mining.

RA, MPhi, PhD, PostDoc and Visiting Scholar Opportunties

• [11. Oct, 2022] We currently hire full-time Mphi/PhD from Lingnan University and collaborative universities (Shenzhen University - Joint PhD/Mphi with Lingnan, The Hong Kong Polytechnic University and Hong Kong Metropolitan University). Please submit your full CV (with GPA & your publications) and indicate your preferred universities, application round, and study mode (self-financed/studentship/fellowship) for your application to my email hrxie@ln.edu.hk. For the round of 2022/23, the application deadline is 30 Nov 2022 and please contact me as early as possible.
• [11. Oct, 2022] There are three vacancies of full-time/part-time resarch assistants in my research teams in both Lingnan University, Education University of Hong Kong, and Open University of Hong Kong. Students/Researchers who are interested in machine learning, artificial intelligence, e-learning and educational technology are welcome to send your inquiries to my emails hrxie@ln.edu.hk. Please submit your full CV and indicate your preferred posts, available periods, and expected salary for your application by 15 Nov 2022.

News

• [01. Oct, 2022] I have been appointed as the Editor-in-Chief of Natural Language Processing Journal [A new journal of Elsevier]. You are welcome to submit your papers to this journal!
• [01. Oct, 2022] I have been appointed as the Editor-in-Chief of Computers & Education: X Reality [A new journal of Elsevier]. You are welcome to submit your papers to this journal!
• [13. Jul, 2020] I have been appointed as the Editor-in-Chief of Computers & Education: Artificial Intelligence [A new journal of Elsevier]. You are welcome to submit your papers to this journal!
• [25. Jun, 2020] I have been appointed as the Associate Editor of Array [A new journal of Elsevier]. You are welcome to submit your papers to this journal!
• [05. May, 2020] I have been appointed as the Associate Editor of International Journal of Mobile Learning and Organisation [Index by Scopus, Q1]. You are welcome to submit your papers to this journal!

• [02. Mar, 2020] I have been a guest editor of From Conventional AI to Modern AI in education- Re-examining AI and Analytics Techniques for Teaching and Learning, Journal of Educational Technology & Society [Indexed by SSCI, Impact Factor = 2.133]. You are welcome to submit your papers to this special issue!

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Awards

• 2022 - World's Top 2% Scientists in (1) Artificial Intelligence and (2) Education, Stanford University

• 2022 - Most Cited Article in Computer-Assisted Language Learning, Taylor & Francis

• 2022 - Gold Medal, International Invention Innovation Competition in Canada (iCAN)

• 2022 - Special Award, International Invention Innovation Competition in Canada (iCAN)

• 2022 - Research Output Excellence Award, Lingnan University

• 2022 - Teaching Excellence Awards Scheme (TEAS) 2021/2022, Certificate of Merit, Lingnan University

• 2021 - World's Top 2% Scientists in (1) Artificial Intelligence and (2) Education, Stanford University

• 2021 - Most Cited Article in Computers & Education, Elsevier

• 2020 - WI-AIT 2020 Best Research Paper Award

• 2020 - Literia Award 2020 (Outstanding Paper), Emerald Publisher

• 2020 - Silver Award, International Innovation and Invention Competition Taiwan

• 2020 - ICBL 2020 Excellent Research Paper Award

• 2019 - Gold Medal, International Invention Innovation Competition in Canada (iCAN)

• 2019 - Special Award - British Innovation Award, International Invention Innovation Competition in Canada (iCAN)

• 2019 - Outstanding Research Achievement Award, Asia Pacific Society for Computing and Information Technology

• 2019 - Silver Award, Multimedia Grand Challenges, ACM Multimedia 2019

• 2019 - Silver Award, 47th International Exhibition of Inventions of Geneva

• 2019 - President's Award for Outstanding Performance in Research, The Education University of Hong Ko

• 2019 - Research Output Prize (Faculty), The Education University of Hong Kong

• 2017 - DASFAA 2017 Best Paper Award (Runner Up)

• 2016 - ICBL 2016 Excellent Research Paper Award

• 2015 - SECOP 2015 Best Paper Award

Journal Articles

• [J162] Di Zou, Haoran Xie, Fu Lee Wang, Effects of technology enhanced peer, teacher and self-feedback on students’collaborative writing, critical thinking tendency and engagement in learning, Journal of Computing in Higher Education. DOI: 10.1007/s12528-022-09337-y, 2022 [SSCI, IF = 2.627, 5-Year IF = 3.581].

• [J161] Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, Xiao-Ping Zhang, Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds, IEEE Transactions on Pattern Analysis and Machine Intelligence. DOI: 10.1109/TPAMI.2022.3145877, 2022 [SCI, IF = 16.389, 5-Year IF = 18.460].

• [J160] Yufu Chen, Zhiqi Lei, Yanghui Rao, Haoran Xie, Fu Lee Wang, Jian Yin, Qing Li, Parallel Non-negative Matrix Tri-Factorization for Text Data Co-clustering, IEEE Transactions on Knowledge and Data Engineering. DOI: 10.1109/TKDE.2022.3145489 2022 [SCI, IF = 6.977, 5-Year IF = 6.085].

• [J159] Jiaxin Chen, Zekai Wu, Zhenguo Yang, Haoran Xie, Fu Lee Wang, Wenyin Liu, Multimodal Fusion Network with Contrary Latent Topic Memory for Rumor Detection, IEEE Multimedia. DOI: 10.1109/MMUL.2022.3146568, 2022 [SCI, IF = 5.633, 5-Year IF = 4.080].

• [J158] Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Lau, Jian Yin, Fu Lee Wang, Qing Li, Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery, IEEE Transactions on Knowledge and Data Engineering. 34(1), 219-235, 2022 [SCI, IF = 6.977, 5-Year IF = 6.085].

• [J157] Jiachun Feng, Zusheng Zhang, Cheng Ding, Yanghui Rao, Haoran Xie, Fu Lee Wang , ontext reinforced neural topic modeling over short texts , Information Sciences. 607, 79-91, 2022 [SCI, IF = 6.795, 5-Year IF = 6.524].

• [J156] Dingkun Zhu, Honghua Chen, Weiming Wang, Haoran Xie, Gary Cheng, Mingqiang Wei, Jun Wang, Fu Lee Wang, Non-local Low-rank Point Cloud Denoising for 3D Measurement Surfaces, IEEE Transactions on Instrumentation and Measurement. 71, 5002214, 2022 [SCI, IF = 4.016, 5-Year IF = 3.953].

• [J155] Hongyu Jiang, Zhiqi Lei, Yanghui Rao, Haoran Xie, Fu Lee Wang, Parallel Dynamic Topic Modeling via Evolving Topic Adjustment and Term Weighting Scheme, Information Sciences. 585, 176-193, 2022 [SCI, IF = 6.795, 5-Year IF = 6.524].

• [J154] Wang Kay Ngai, Haoran Xie, Di Zou, Kee Lee Chou, Emotion Recognition based on Convolutional Neural Networks and Heterogeneous Bio-signal Data Sources, Information Fusion. 77, 107-117, 2022 [SCI, IF = 12.975, 5-Year IF = 12.707, Corresponding Author].

• [J153] Dingkun Zhu, Sen Deng, Weiming Wang, Gary Cheng, Mingqiang Wei, Fu Lee Wang, Haoran Xie, HDRD-Net: High-resolution Detail-recovering Image Deraining Network, Multimedia Tools and Applications. DOI: 10.1007/s11042-022-13489-5, 2022 [SCI, IF = 2.757, 5-Year IF = 2.517].

• [J152] Qiping Wang, Ling Luo, Haoran Xie⋆, Yanghui Rao, Raymond YK Lau, Detian Zhang, A Deep Data Augmentation Framework based on Generative Adversarial Networks, Multimedia Tools and Applications. DOI: 10.1007/s11042-022-13476-w, 2022 [SCI, IF = 2.757, 5-Year IF = 2.517, Corresponding Author].

• [J151] Tongda Yang, Weiming Wang, Gary Cheng, Mingqiang Wei, Haoran Xie, Fu Lee Wang, FDDL-Net: Frequency Domain Decomposition Learning for Speckle Reduction in Ultrasound Images, Multimedia Tools and Applications. DOI: 10.1007/s11042-022-13481-z, 2022 [SCI, IF = 2.757, 5-Year IF = 2.517].

• [J150] Fu Lee Wang, Yuyin Lu, Gary Cheng, Haoran Xie, Yanghui Rao, Learning Chinese Word Embeddings from Semantic and Phonetic Components, Multimedia Tools and Applications. DOI: 10.1007/s11042-022-13488-6, 2022 [SCI, IF = 2.757, 5-Year IF = 2.517].

• [J149] Chengyu Zheng, Ding Shi, Xuefeng Yan, Dong Liang, Mingqiang Wei, Xin Yang, Yanwen Guo, Haoran Xie, GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection, Computer Graphics Forum. DOI:10.1111/cgf.14441, 2022 [SCI, IF = 2.078, 5-Year IF = 2.459, Corresponding Author].

• [J148] Fu Lee Wang, Dingkun Zhu, Haoran Xie, Weiming Wang, Gary Cheng, Three-dimensional surface mesh optimization and centerline extraction of vasculatures for endovascular intervention simulation, Journal of Electronic Imaging. 31(3), 033038, 2022 [SCI, IF = 0.945, 5-Year IF = 1.006].

• [J147] Dingkun Zhu, Chengyu Zheng, Weiming Wang, Haoran Xie, Gary Cheng, Fu Lee Wang, Mingqiang Wei, Rapid fault extraction from seismic images via deep learning, Journal of Electronic Imaging. 31(5), 051423, 2022 [SCI, IF = 0.945, 5-Year IF = 1.006].

• [J146] Han Zhang, Zongxi Li, Haoran Xie, Raymond YK Lau, Gary Cheng, Qing Li, Dian Zhang, Leveraging statistical information in fine-grained financial sentiment analysis, World Wide Web. 25, 513–531, 2022 [SCI, IF = 2.716, 5-Year IF = 2.306].

• [J145] Thuan Pham, Xiaohui Tao, Ji Zhang, Jianming Yong, Yuefeng Li, Haoran Xie, Graph-based multi-label disease prediction model learning from medical data and domain knowledge, Knowledge-Based Systems. 235, 107662, 2022 [SCI, IF = 8.038, 5-Year IF = 7.842].

• [J144] Xieling Chen, Di Zou, Haoran Xie, A decade of learning analytics: Structural topic modeling based bibliometric analysis, Education and Information Technologies. DOI: 10.1007/s10639-022-11209-y, 2022 [SCI, IF = 2.917, 5-Year IF = 2.953].

• [J143] Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng, Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences., Education and Information Technologies. DOI: 10.1007/s10639-022-11209-y, 2022 [SCI, IF = 2.917, 5-Year IF = 2.953].

• [J142] Di Zou, Xinyi Huang, Lucas Kohnke, Xieling Chen, Gary Cheng, Haoran Xie, A bibliometric analysis of the trends and research topics of empirical research on TPACK, Education and Information Technologies. DOI: 10.1007/s10639-022-10991-z, 2022 [SCI, IF = 2.917, 5-Year IF = 2.953].

• [J141] Qing-Ke Fu, Di Zou, Haoran Xie, Gary Cheng, A Review of AWE Feedback: Types, Learning Outcomes, and Implications, Computer Assisted Language Learning. DOI: 10.1080/09588221.2022.2033787, 2022 [SCI, IF = 4.789, 5-Year IF = 4.832].

• [J140] Qing-Ke Fu, Di Zou, Haoran Xie, Gary Cheng, Gwo-Jen Hwang, Effects of a Collaborative Design Approach on Pre-service Teachers’ Ability of Designing for Learning with a Digital Game, Education and Information Technologies. DOI: 10.1007/s10639-021-10818-3, 2022 [SCI, IF = 2.917, 5-Year IF = 2.953].

• [J139] Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, Fan Su, A bibliometric analysis of game-based collaborative learning between 2000 and 2019, International Journal of Mobile Learning and Organisation. 16(1), 20-51, 2022 [Scopus].

• [J138] Xieling Chen, Haoran Xie, A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis, Cognitive Computation. 14, 24–47, 2022 [SCI, IF = 5.418, 5-Year IF = 4.917, Corresponding Author].

• [J137] Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie, Implementing technology-enhanced collaborative writing in second and foreign language learning: A review of practices, technology and challenges, Education and Information Technologies. DOI: 10.1007/s10639-022-10941-9, 2022 [SCI, IF = 2.917, 5-Year IF = 2.953].

• [J136] Xieling Chen, Di Zou, Gary Cheng, Baichang Zhong,Haoran Xie, Artificial Intelligent Robots for Precision Education: A Topic Modeling-based Bibliometric Analysis, Educational Technology & Society, Educational Technology & Society. 2021 [SCI, IF = 2.086, 5-Year IF = 2.720].

• [J135] Xinyi Huang, Di Zou, Gary Cheng, Xieling Chen, Haoran Xie, Trends, research issues and applications of artificial intelligence in language education, Educational Technology & Society, Educational Technology & Society. 2022 [SCI, IF = 2.086, 5-Year IF = 2.720].

• [J134] Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, Fan Su, Machine and Cognitive Intelligence for Human Health: Systematic Review, Brain Informatics. 9, 5, 1-20, 2022 [Scopus].

• [J133] Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, Caixia Liu, Two Decades of Artificial Intelligence in Education, Educational Technology & Society. 25(1), 28-47, 2022 [SCI, IF = 3.522, 5-Year IF = 3.941].

• [J132] Xieling Chen, Gary Cheng, Haoran Xie, Guanliang Chen, Di Zou, Understanding MOOC Reviews: Text Mining using Structural Topic Model, Human-Centric Intelligent Systems. 1(3-4), 55-65, 2021 [A New Journal of Atlantis Press (Part of Springer Nature)].

• [J131] Xiaorui Qin, Yanghui Rao, Haoran Xie, Jiahai Wang, Fu Lee Wang, TACN: A Topical Adversarial Capsule Network for Textual Network Embedding, Neural Networks. 144, 766-777, 2021 [SCI, IF = 8.050, 5-Year IF = 9.171].

• [J130] Dian Zhang, Zexiong Liao, Wen Xie, Xiaofeng Wu, Haoran Xie, Jiang Xiao, Landu Jiang, Fine-grained and Real-time Gesture Recognition by Using IMU Sensors, IEEE Transactions on Mobile Computing. DOI: 10.1109/TMC.2021.3120475, 2021 [SCI, IF = 5.577, 5-Year IF = 4.725].

• [J129] Mingqiang Wei, Honghua Chen, Yingkui Zhang, Haoran Xie, Yanwen Guo, Jun Wang, GeoDualCNN: Geometrysupporting Dual Convolutional Neural Network for Noisy Point Clouds, IEEE Transactions on Visualization and Computer Graphics. DOI: 10.1109/TVCG.2021.3113463, 2021 [SCI, IF = 4.579, 5-Year IF = 4.368].

• [J128] Xieling Chen, Haoran Xie, Jingjing Wang, Zongxi Li, Gary Cheng, Man Leung Wong, A bibliometric review of soft computing for recommender systems and sentiment analysis, IEEE Transactions on Artificial Intelligence. DOI: 10.1109/TAI.2021.3116551, 2021 [A New IEEE Transaction, Corresponding Author].

• [J127] Ziye Chen, Cheng Ding, Yanghui Rao, Haoran Xie, Xiaohui Tao, Gary Cheng, Fu Lee Wang, Hierarchical Neural Topic Modeling with Manifold Regularization, World Wide Web. 24, 2139–2160, 2021 [SCI, IF = 2.716, 5-Year IF = 2.306].

• [J126] Zongxi Li, Xinhong Chen, Haoran Xie, Qing Li, Xiaohui Tao, EmoChannel-SA: Exploring Emotional Dependency Towards Classification Task with Self-attention Mechanism, World Wide Web. 24, 2049–2070, 2021 [SCI, IF = 2.716, 5-Year IF = 2.306].

• [J125] Zongxi Li, Haoran Xie, Gary Cheng, Qing Li, Word-level emotion distribution with two schemas for short text emotion classification, Knowledge-Based Systems. 227, 107163, 2021 [SCI, IF = 8.038, 5-Year IF = 7.842, Corresponding Author].

• [J124] Tao Wang, Yi Cai, Ho-fung Leung, Raymond Y.K. Lau, Haoran Xie, Qing Li, On entropy-based term weighting schemes for text categorization, Knowledge and Information Systems. 63(9), 2313-2346, 2021 [SCI, IF = 2.822, 5-Year IF = 3.161].

• [J123] Fu Lee Wang, Ruofei Zhang, Di Zou, Oliver Tat Sheung Au, Haoran Xie, Leung Pun Wong, A review of vocabulary learning applications: From the aspects of cognitive approaches, multimedia input, learning materials, and game elements, Knowledge Management and E-learning. 13(3), 250-272, 2021 [Scopus].

• [J122] Yunzhu Wu, Ruoxin Zhang, Lei Zhu, Weiming Wang, Shengwen Wang, Haoran Xie, Gary Cheng, Fu Lee Wang, Xing-Xiang He, Hai Zhang, BGM-Net: Boundary-guided Multiscale Network for Breast Lesion Segmentation in Ultrasound, Frontiers in Molecular Biosciences. 8, 613, 2021 [SCI, IF = 5.246, 5-Year IF = 5.389.

• [J121] Ruofei Zhang, Di Zou, Haoran Xie, Spaced repetition for authentic mobile-assisted word learning: nature, learner perceptions, and factors leading to positive perceptions, Computer Assisted Language Learning. DOI: 10.1080/09588221.2021.1888752, 2021 [SCI/SSCI, IF = 4.789, 5-Year IF = 4.832].

• [J120] Di Zou, Haoran Xie, Vocabulary Learning Based on Learner-Generated Pictorial Annotations: Using Big Data as Learning Resource, Sustainability. 13(11), 5767, 2021 [SCI, IF = 3.251, 5-Year IF = 3.473].

• [J119] Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, A Topic-Based Bibliometric Review of Computers in Human Behavior: Contributors, Collaborations, and Research Topics, Sustainability. 13(9), 4859, 2021 [SCI, IF = 3.251, 5-Year IF = 3.473.

• [J118] Xiaorui Qin, Yufu Chen, Yanghui Rao, Haoran Xie, Man Leung Wong, Fu Lee Wang, A constrained optimization approach for cross-domain emotion distribution learning, Knowledge-Based Systems. 227, 107160, 2021 [SCI, IF = 8.038, 5-Year IF = 7.842, Corresponding Author].

• [J117] Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang, Oliver Tat Sheung Au, Target languages, types of activities, engagement, and effectiveness of extramural language learning, PLOS One. 16(6), e0253431, 2021 [SCI, IF = 3.240, 5-Year IF = 3.788].

• [J116] Xiaodong Li, Pangjing Wu, Chenxin Zou, Haoran Xie, Fu Lee Wang, Sentiment Lossless Summarization, Knowledge-Based Systems. 227, 107170, 2021 [SCI, IF = 8.038, 5-Year IF = 7.842].

• [J115] Haoran Xie, Gwo-Jen Hwang, Tak-Lam Wong, Special Issue on From Conventional AI to Modern AI in educationRe-examining AI and Analytics Techniques for Teaching and Learning, Educational Technology & Society. 24(3), 85-88, 2021 [SCI, IF = 3.522, 5-Year IF = 3.941].

• [J114] Zongxi Li, Haoran Xie, Guandong Xu, Qing Li, Mingming Leng, Chi Zhou, Towards Purchase Prediction: A Transaction-based Setting and A Graph-based Method Leveraging Price Information, Pattern Recognition. 113, 107824, 2021 [SCI, IF = 7.740, 5-Year IF = 7.299, Corresponding Author].

• [J113] Xinyi Huang, Di Zou, Gary Cheng, Haoran Xie, A Systematic Review of AR and VR Enhanced Language Learning, Sustainability. 13(9), 4639, 2021 [SCI, IF = 3.251, 5-Year IF = 3.473].

• [J112] Guipeng Zhang, Haoran Xie, Zhenguo Yang, Xiaohui Tao, Wenyin Liu, BDKM: A blockchain-based secure deduplication scheme with reliable key management, Neural Processing Letters. DOI: 10.1007/s11063-02110450-9, 2021 [SCI, IF =2.891, 5-Year IF = 2.711].

• [J111] Xieling Chen, Haoran Xie, Gary Cheng, Zongxi Li, Topic Analysis and Development in Knowledge Graph Research: A Bibliometric Review on Three Decades, Neurocomputing. 461, 497-515, 2021 [SCI, IF = 5.719, 5-Year IF = 4.986].

• [J110] Dan Debby Wang, Haoran Xie, Yan Hong, Proteo-chemometrics interaction fingerprints of protein-ligand complexes predict binding affinity, Bioinformatics. 37(17), 2570-2579, 2021 [SCI, IF = 6.937, 5-Year IF = 8.470].

• [J109] Quanqing Yang, Haoran Xie, Gary Cheng, Fu Lee Wang, Yanghui Rao, Pronunciation-Enhanced Chinese Word Embedding, Cognitive Computation. 13, 688-697, 2021 [SCI, IF = 5.418, 5-Year IF = 4.917, Corresponding Author].

• [J108] Dingkun Zhu, Yingkui Zhang, Zhiqi Li, Weiming Wang, Haoran Xie, Mingqiang Wei, Gary Cheng, Fu Lee Wang, Cascaded Normal Filtering Neural Network for Geometry-aware Mesh Denoising of Measurement Surfac, IEEE Transactions on Instrumentation and Measurement. 70, 2506513, 2021 [SCI, IF = 4.016, 5-Year IF = 3.953, Corresponding Author].

• [J107] Guipeng Zhang, Zhenguo Yang, Haoran Xie, Wenyin Liu, A Secure Authorized Duplication Scheme for Cloud Data Based on Blockchain, Information Processing & Management. 58(3), 102510, 2021 [SCI, IF =6.222, 5-Year IF = 5.789].

• [J106] Jingjing Wang, Haoran Xie, Fu Lee Wang, Lap-Kei Lee, Oliver Tat Sheung Au, Top-N Personalized Recommendation with Graph Neural Networks in MOOCs, Computers & Education: Artificial Intelligence. 2, 100010, 2021 [A New Journal of Elsevier].

• [J105] Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, Twenty years of personalized language learning: topic modeling and knowledge mapping, Educational Technology & Society. 24(1), 205-222, 2021 [SCI, IF = 3.522, 5-Year IF = 3.941].

• [J104] Di Zou, Shuqiong Luo, Haoran Xie, Gwo-Jen Hwang, Twenty-five years of computer-assisted language learning: a topic modeling analysis: Twenty-five years of CALL, Language Learning & Technology. 25(3), 151–185, 2021 [SSCI, IF = 4.313, 5-Year IF = 4.094].

• [J103] Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang, Past, Present, and Future of Smart Learning: a Topic-based Bibliometric Analysis, International Journal of Educational Technology in Higher Education. 18(1), 1-29, 2021 [SSCI, IF = 4.944, 5-Year IF = 5.361].

• [J102] Di Zou, Ruofei Zhang, Haoran Xie, Fu Lee Wang, Digital game-based learning of information literacy: effects of gameplay modes on university students' learning performance, motivation, self-efficacy, and flow experiences, Australasian Journal of Educational Technology. 37(2), 152–170, 2021 [SSCI, IF = 3.507, 5-Year IF = 1.540].

• [J101] Xieling Chen, Xiaohui Tao, Fu Lee Wang, Haoran Xie, Global research on artificial intelligence technologiesenhanced human electroencephalogram analysis, Neural Computing & Applications. DOI: 10.1007/s00521020-05588-x, 2021 [SCI, IF = 5.606, 5-Year IF = 5.573].

• [J100] Zhenguo Yang, Qing Li, Haoran Xie, Qi Wang, Wenyin Liu, Learning representation from multiple media domains for enhanced event discovery, Pattern Recognition. 110, 107640, 2021 [SCI, IF = 7.740, 5-Year IF = 7.299].

• [J99] Qiping Wang, Raymond Y.K. Lau, Haoran Xie, The impact of social executives on firms’ mergers and acquisitions strategies: A difference-in-differences analysis, Journal of Business Research. 123, 343-354, 2021 [SCI, IF = 7.550, 5-Year IF = 8.488].

• [J98] Qi Peng, Changmeng Zheng, Yi Cai, Tao Wang, Haoran Xie, Qing Li, Unsupervised cross-domain named entity recognition using entity-aware adversarial training, Neural Networks. 138, 68-77, 2021 [SCI, IF = 8.050, 5-Year IF = 9.171].

• [J97] Lei Zhu, Zijun Deng, Xiaowei Hu, Haoran Xie, Xuemiao Xu, Jing Qin, Pheng-Ann Heng, Learning Gated Non-local Residual for Single-image Rain Streak Removal, IEEE Transactions on Circuits and Systems for Video Technology. 31(6), 2147-2159, 2021 [SCI, IF = 4.685, 5-Year IF = 4.632].

• [J96] Di Zou, Minhong Wang, Haoran Xie, Gary Cheng, Fu Lee Wang, Lap-Kei Lee, A comparative study on linguistic theories for modeling EFL learners: facilitating personalized vocabulary learning via task recommendations, Interactive Learning Environments. 29(2), 270-282, 2021 [SSCI, IF = 3.928, 5-Year IF = 3.868, Corresponding Author].

• [J95] Xieling Chen, Xinxin Zhang, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Nengfu Xie, Tianyong Hao, A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research, Multimedia Tools and Applications. 80(11), 17335-17363, 2021 [SCI, IF = 2.757, 5-Year IF = 2.517].

• [J94] Liansheng Wang, Rongzhen Chen, Lei Zhu, Haoran Xie, Xiaomeng Li, Deep Sub-region Network for Salient Object Detection, IEEE Transactions on Circuits and Systems for Video Technology. 31(2), 728-741, 2021 [SCI, IF = 4.685, 5-Year IF = 4.632].

• [J93] Jianhui Pang, Yanghui Rao, Haoran Xie, Xizhao Wang, Fu Lee Wang, Tak-Lam Wong and Qing Li, Fast Supervised Topic Models for Short Text Emotion Detection, IEEE Transactions on Cybernetics. 51(2), 815-828, 2021 [SCI, IF = 11.448, 5-Year IF = 11.507].

• [J92] Di Zou, Yan Huang and Haoran Xie, Digital Game-based Vocabulary Learning: Where Are We and Where Are We Going?, Computer Assisted Language Learning. 34(5-6), 751-777, 2021 [SCI, IF = 4.789, 5-Year IF = 4.832, Corresponding Author].

• [J91] Haoran Xie, Wai Hong Chan, Minhong Wang, Fu Lee Wang, Editorial: Research Trends and Future Development of Artificial Intelligence in Education in the Mobile Era, International Journal of Mobile Learning and Organisation. 15(4), 355-357, 2021 [Scopus].

• [J90] Di Zou, Shuqiong Luo, Haoran Xie, Gwo-Jen Hwang, A Systematic Review of Research on Flipped Language Classrooms: Theoretical Foundations, Learning Activities, Tools, Research Topics and Findings, Computer Assisted Language Learning. DOI: 10.1080/09588221.2020.1839502, 2020 [SCI, IF = 4.789, 5-Year IF = 4.832].

• [J89] Xieling Chen, Haoran Xie, Gwo-Jen Hwang, A Multi-Perspective Study on Artificial Intelligence in Education: Grants, Conferences, Journals, Software Tools, Institutions, and Researchers, Computers & Education: Artificial Intelligence. 1, 100005, 2020 [A New Journal of Elsevier, Corresponding Author].

• [J88] Xiaohui Tao, Haoran Xie, Yongrui Qin, Xujuan Zhou, Yi Cai, Knowledge discovery and management on online social networks and media, Web Intelligence. 18(3), 179-180, 2020 [ESCI and EI].

• [J87] Xieling Chen, Haoran Xie, Di Zou, Gwo-Jen Hwang, pplication and theory gaps during the rise of Artificial Intelligence in Education, Computers & Education: Artificial Intelligence. 1, 100002, 2020 [A New Journal of Elsevier, Corresponding Author].

• [J86] Gwo-Jen Hwang, Haoran Xie, Benjamin Wah, Dragan Gasevic, Vision, Challenges, Roles and Research Issues of Artificial Intelligence in Education, Computers & Education: Artificial Intelligence. 1, 100001, 2020 [A New Journal of Elsevier].

• [J85] Xiong Zhang, Haoran Xie, Hao Yang, Hongkai Shao, Minghao Zhu, A General Framework to Understand Vulnerabilities in Information Systems, IEEE Access. 8, 121858-121873, 2020 [SCI, IF = 3.367, 5-Year IF = 3.671].

• [J84] Xieling Chen, Haoran Xie, A Structural Topic Modeling based Bibliometric Study of Sentiment Analysis Literature, Cognitive Computation. 12, 1097-1129, 2020 [SCI, IF = 5.418, 5-Year IF = 4.917, Corresponding Author].

• [J83] Minghui Huang, Haoran Xie, Yanghui Rao, Yuwei Liu, Leonard KM Poon, Fu Lee Wang, Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis, IEEE Transactions on Affective Computing. DOI: 10.1109/TAFFC.2020.2997769, 2020 [SCI, IF = 10.506, 5-Year IF = 9.047, Corresponding Author].

• [J82] Zhaoqing Pan, Weijie Yu, Bosi Wang, Haoran Xie, Victor Sheng, Jianjun Lei, Sam Kwong, Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges, IEEE Transactions on Emerging Topics in Computational Intelligence. 4(4), 500-522, 2020 [A New IEEE Transaction].

• [J81] Morris Siu-Yung Jong, Chin-Chung Tsai, Haoran Xie, Frankie Kwan-Kit Wong, Integrating interactive learnerimmersed video-based virtual reality into learning and teaching of physical geography, British Journal of Educational Technology. 51(6), 2063-2078, 2020 [SSCI, IF = 4.929, 5-Year IF = 5.030].

• [J80] Di Zou, Haoran Xie, Fu Lee Wang, Reggie Kwan, Flipped learning with Wikipedia in higher education, Studies in Higher Education. DOI: 10.1080/03075079.2020.1750195, 2020 [SSCI, IF = 3.000, 5-Year IF = 3.284, Corresponding Author, Status: Accepted & Online].

• [J79] Ruofei Zhang, Di Zou, Haoran Xie, Oliver Tat Sheung Au, Fu Lee Wang, systematic review of research on e-book-based language learning, Knowledge Management and E-learning. 12(1), 106-128, 2020 [Scopus].

• [J78] Xieling Chen, Haoran Xie, Gary Cheng, Leonard K.M. Poon, Mingming Leng, Fu Lee Wang, Trends and Features of the Applications of Natural Language Processing Techniques for Clinical Trials Text Analysis, Applied Sciences. 10(6), 2157, 2020 [SCI, IF = 2.679, 5-Year IF = 2.736].

• [J77] Minghui Huang, Haoran Xie, Yanghui Rao, Jingrong Feng, Fu Lee Wang, Sentiment Strength Detection With a Context-dependent Lexicon-based Convolutional Neural Network, Information Sciences. 520, 389-399, 2020 [SCI, IF = 6.795, 5-Year IF = 6.524, Corresponding Author].

• [J76] Debby Dan Wang, Ou-Yang Le, Haoran Xie, Mengxu Zhu, Hong Yan, Predicting the Impacts of Mutations on Protein-Ligand Affinity Based on Molecular Dynamics Simulations and Machine Learning Methods, Computational and Structural Biotechnology Journal. 18, 439-454, 2020 [SCI, IF = 7.271, 5-Year IF = 7.409].

• [J75] Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education, Computers & Education. 151, 103855, 2020 [SSCI, IF = 8.538, 5-Year IF = 9.269, Corresponding Author] [One of Most Cited Articles in Computers & Education since Sep 2021.].

• [J74] Tingting Li, Di Zou, Xiaojing Weng, Minhong Wang, Haoran Xie, Fu Lee Wang, Acceptance and Implication of Smartphones for Informal Language Learning in Foreign Study Tours, International Journal of Mobile Learning and Organisation. 14(4), 456-477, 2020 [Scopus].

• [J73] Mingqiang Wei, Zhan Song, Ye Nie, Jukan Wu, Zu Li, Yiping Guo, Haoran Xie, Jun Wang and Fu Lee Wang, Normal-Based Bas-Relief Modelling via Near Lighting Photometric Stereo, Computer Graphics Forum. 39(1), 204-219, 2020 [SCI, IF = 2.078, 5-Year IF = 2.459, Corresponding Author].

• [J72] Xieling Chen, Di Zou, Haoran Xie, Fifty Years of British Journal of Educational Technology: A Topic Modelling based Bibliometric Perspective, British Journal of Educational Technology. DOI: 10.1111/bjet.12907, 1-25, 2020 [SSCI, IF = 4.929, 5-Year IF = 5.030].

• [J71] Ming-Puu Chen, Li-Chun Wang, Di Zou, Shu-Yuan Lin, Haoran Xie, Chin-Chung Tsai, Effects of captions and English proficiency on learning effectiveness, motivation and attitude in Augmented-Reality-enhanced theme-based contextualized EFL learning, Computer Assisted Language Learning. DOI: 10.1080/09588221.2019.1704787, 2020 [SCI, IF = 4.789, 5-Year IF = 4.832].

• [J70] Haoran Xie, Fu Lee Wang, Qiong Wang, Mingqiang Wei, Reggie Kwan, Jing Qin, Joint weighted least squares for normal decomposition of 3D measurement surface, Measurement Science and Technology. 31(4), 1-13, 2020 [SCI, IF = 2.046, 5-Year IF = 2.110].

• [J69] Haotian Xu, Haiyun Peng, Haoran Xie, Cambria Erik, Liuyang Zhou, Weiguo Zheng, End-to-End Latent-Variable Task-Oriented Dialogue System with Exact Log-likelihood Optimization, World Wide Web. 23(3), 1989-2002, 2020 [SCI, IF = 2.716, 5-Year IF = 2.306].

• [J68] An Liu, Xindi Shen, Haoran Xie, Zhixu Li, Guanfeng Liu, Jiajie Xu, Lei Zhao, Fu Lee Wang, Privacy-preserving Shared Collaborative Web Services QoS Prediction, Journal of Intelligent Information Systems. 54(1), 205-224, 2020 [SCI, IF = 1.888, 5-Year IF = 1.939, Corresponding Author].

• [J67] Tak-Lam Wong, Haoran Xie, Di Zou, Fu Lee Wang, Jeff Kai Tai Tang, Anthony Kong and Reggie Kwan, ow to Facilitate Self-regulated Learning? A Case Study on Open Educational Resources, Journal of Computers in Education. 7, 51-77, 2020 [ESCI and Scopus].

• [J66] Xiaorui Qin, Yanghui Rao, Haoran Xie, Jian Yin and Fu Lee Wang, Extractive convolutional adversarial networks for network embedding, World Wide Web. 23(3), 1925-1944, 2019 [SCI, IF = 2.716, 5-Year IF = 2.306].

• [J65] Jiachun Feng, Yanghui Rao, Haoran Xie, Fu Lee Wang, Qing Li, User group based emotion detection and topic discovery over short text, World Wide Web. 23(3), 1553-1587, 2019 [SCI, IF = 2.716, 5-Year IF = 2.306].

• [J64] Yi Cai, Kai Yang, Dongping Huang, Zikai Zhou, Xue Lei, Haoran Xie, Tak-Lam Wong, A hybrid model for opinion mining based on domain sentiment dictionary, International Journal of Machine Learning and Cybernetics. 10(8), 2131-2142, 2019 [SCI, IF = 4.012, 5-Year IF = 3.558].

• [J63] Kai Yang, Yi Cai, Zhiwei Cai, Haoran Xie, Tak-Lam Wong, Wai Hong Chan, Top K representative: a method to select representative samples based on K nearest neighbors, International Journal of Machine Learning and Cybernetics. 10(8), 2119-2129, 2019 [SCI, IF = 4.012, 5-Year IF = 3.558].

• [J62] Yi Cai, Haoran Xie, Xizhao Wang, Fu Lee Wang, Tak-Lam Wong, Qing Li, Temporal Event Searches based on Event Maps and Relationships, Applied Soft Computing. 85, 105750, 2019 [SCI, IF = 6.725, 5-Year IF = 6.607, Corresponding Author].

• [J61] Haoran Xie, Hui-Chun Chu, Gwo-Jen Hwang, Chun-Chieh Wang, Trends and Developments in Technologyenhanced Adaptive/Personalized Learning: A Systematic Review of Journal Publications from 2007 to 2017, Computers & Education. 140, 103599, 1-16, 2019 [SCI, IF = 8.538, 5-Year IF = 9.269, Corresponding Author, Google Citation Counts = 156] [One of Most Cited Articles in Computers & Education since Sep 2021.].

• [J60] Ming-Puu Chen, Li-Chun Wang, Di Zou, Shu-Yuan Lin, Haoran Xie, Effects of caption and gender on junior high students’ EFL learning from iMap-enhanced contextualized learning, Computers & Education. 140, 103602, 2019 [SCI, IF = 8.538, 5-Year IF = 9.269, Corresponding Author].

• [J59] Jun Wang, Jin Huang, Fu Lee Wang, Mingqiang Wei, Haoran Xie and Jing Qin, Data-driven Geometryrecovering Mesh Denoising, Computer-Aided Design. 114, 133-142, 2019 [SCI, IF = 3.027, 5-Year IF = 4.032, Corresponding Author].

• [J58] Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Raymond Wong, Xiaohui Tao,Ran Wang, Editorial: Affective and sentimental computing, International Journal of Machine Learning and Cybernetics. 10(8), 2043-2044, 2019 [SCI, IF = 4.012, 5-Year IF = 3.558, Corresponding Author].

• [J57] Xingming Chen, Yanghui Rao, Haoran Xie, Fu Lee Wang, Yingchao Zhao, Jian Yin, Sentiment Classification Using Negative and Intensive Sentiment Supplement Information, Data Science and Engineering. Data Science and Engineering.

• [J56] Honghua Chen, Jin Huang, Oussama Remil, Haoran Xie, Jing Qin, Yanwen Guo, Mingqiang Wei, Jun Wang, Honghua Chen, Jin Huang, Oussama Remil, Haoran Xie, Jing Qin, Yanwen Guo, Mingqiang Wei, Jun Wang, ComputerAided Design. 115, 122-134, 2019 [SCI, IF = 3.027, 5-Year IF = 4.032].

• [J55] Jiemin Zhong, Haoran Xie, Fu Lee Wang, The Research Trends in Recommender Systems for E-learning: A Systematic Review of SSCI Journal Articles from 2014 to 2018, Asian Association of Open Universities Journal,. 14(1), 12-27, 2019. [Literia Award 2020 (Outstanding Paper), Emerald Publisher.].

• [J54] Haoran Xie, Di Zou, Ruofei Zhang, Maggie Wang, Lee Wang, PersonalizedWord Learning for University Students: a Profile-based Method for E-learning Systems, Journal of Computing in Higher Education. 31(2), 273-289, 2019 [SSCI, IF = 2.627, 5-Year IF = 3.58173].

• [J53] Qinjuan Yang, Yanghui Rao, Haoran Xie, Jiahai Wang, Fu Lee Wang, Wai Hong Chan, Segment-level Joint Topic-Sentiment Model for Online Review Analysis, IEEE Intelligent Systems. 34(1), 43-50, 2019 [SCI, IF = 3.405, 5-Year IF = 4.945, Corresponding Author].

• [J52] Jin Huang, Jun Wang, Honghua Chen, Xiangling Guo, Mingqiang Wei, Haoran Xie and Jing Qin, Mesh-based Computation for Solving Bas-relief Reconstruction from Editable Normal Image, Measurement Science and Technology. 30(4), 045402, 2019 [SCI, IF = 2.046, 5-Year IF = 2.110].

• [J51] Ling Luo, Haoran Xie, Yanghui Rao, Fu Lee Wang, Personalized Recommendation by Matrix Co-Factorization with Tags and Time Information, Expert Systems with Applications. 119, 311-321, 2019 [SCI, IF = 6.954, 5-Year IF = 6.789, Corresponding Author].

• [J50] Ran Wang, Haoran Xie, Jiqiang Feng, Fu Lee Wang, Xu Chen, Multi-Criteria Decision Making based Architecture Selection for Single-hidden Layer Feedforward Neural Networks, International Journal of Machine Learning and Cybernetics. vol 10(4), 655-666, 2019 [SCI, IF = 4.012, 5-Year IF = 3.558].

• [J49] Xiaodong Li, Haoran Xie, Raymond Y.K. Lau, Tak-Lam Wong, Fu Lee Wang, Stock Prediction via Sentimental Transfer Learning, IEEE Access. 6, 73110-73118, 2019 [SCI, IF = 3.367, 5-Year IF = 3.671].

• [J48] Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang, Stephen Smolley, On the Effectiveness of Least Squares Generative Adversarial Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(12), 2947-2960, 2019 [SCI, IF = 16.389, 5-Year IF = 18.460, Corresponding Author] [The findings are included by Stanford University and Google].

• [J47] Xin Li, Yanghui Rao, Haoran Xie, Xuebo Liu, Tak-Lam Wong, Fu Lee Wang, Social Emotion Classification based on Noise-Aware Training, Data & Knowledge Engineering. 123, 2019 [SCI, IF = 1.992, 5-Year IF = 2.086].

• [J46] Di Zou, Haoran Xie, Flipping an English Writing Class with Technology-enhanced Just-in-time Teaching and Peer Instruction, Interactive Learning Environments. 27(8), 1127-1142, 2019 [SSCI, IF = 3.928, 5-Year IF = 3.868, Corresponding Author].

• [J45] Weiming Liang, Haoran Xie, Yanghui Rao, Raymond Y.K. Lau, Fu Lee Wang, Universal Affective Model for Readers’ Emotion Classification over short texts, Expert Systems with Applications. 114, 322-333, 2018 [SCI, IF = 6.954, 5-Year IF = 6.789, Corresponding Author].

• [J44] Tianyong Hao, Raymond K. Wong, Zhe He, Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Natural Language Processing Empowered Mobile Computing, Wireless Communications and Mobile Computing. 9130545, 1-2, 2018 [SCI, IF = 2.336, 5-Year IF = 1.954, Corresponding Author].

• [J43] Xiaojing Weng, Haoran Xie, Gary Ka-Wai Wong, Guiding Principles of Visual-based Programming for Children’s Language Learning, International Journal of Services and Standards. 12.3-4, 275-292, 2018 [Scopus].

• [J42] Wee Pheng Goh, Xiaohui Tao, Ji Zhang, Jianming Yong, Wenping Zhang, Haoran Xie, Drug Prescription Support in Dental Clinics Through Drug Corpus Mining, International Journal of Data Science and Analytics. 6(4), 341-349, 2018.

• [J41] Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu, Juan Xu, Tianyong Hao, A Bibliometric Analysis of Natural Language Processing in Medical Research, BMC Medical Informatics and Decision Making. 18(S-1), 1-14, 2018 [SCI, IF = 2.796, 5-Year IF = 3.394, Google Citation Counts = 74].

• [J40] Di Zou, Haoran Xie, Fu Lee Wang, Future Trends and Research Issues of Technology-Enhanced Language Learning: A Technological Perspective, Knowledge Management and E-learning. 10(4), 426-440, 2018 [ESCI, SCOPUS and INSPEC].

• [J39] Gwo-Jen Hwang, Haoran Xie, Review and Trend Analysis of Knowledge Management and E-Learning Research, Knowledge Management and E-learning. vol 10(4), 371-374, 2018 [ESCI, SCOPUS and INSPEC].

• [J38] Fu Lee Wang, Di Zou, Haoran Xie, Tak-Lam Wong, Editorial Preface: Special issue on User Modelling and Learning Analytics, International Journal of Innovation and Learning. 23 (1), 1-4, 2018 [SCOPUS and INSPEC].

• [J37] Mingqiang Wei, Yidan Feng, Weiming Wang, Haoran Xie, Fu Lee Wang, Interval Gradient Based Joint Bilateral Filtering for Image Texture Removal, Computer Science. 45(3), 29-34, 2018.

• [J36] Yichao He, Haoran Xie, Tak-Lam Wong, Xizhao Wang, A Novel Binary Artificial Bee Colony Algorithm for the Set-Union Knapsack Problem, Future Generation Computer Systems. 78, 77-86, 2018 [SCI, IF = 7.187, 5-Year IF = 6.644, Google Citation Counts= 75].

• [J35] Tak-Lam Wong, Haoran Xie, Wai Lam and Fu Lee Wang, Learning Framework for Information Block Search based on Probabilistic Graphical Models and Fisher Kernel, International Journal of Machine Learning and Cybernetics. 9(9), 1473-1487, 2018 [SCI, IF = 4.012, 5-Year IF = 3.558].

• [J34] Haoran Xie, Li Chen, Raymond Y. K. Lau, Fu Lee Wang, Yanghui Rao, Tak-Lam Wong, Incorporating User Experiences into Critiquing-based Recommender Systems: A Collaborative Approach based on Compound Critiquing, International Journal of Machine Learning and Cybernetics. 9(5), 837-852, 2018 [SCI, IF = 4.012, 5-Year IF = 3.558].

• [J33] Di Zou, Haoran Xie, Personalized Word-Learning based on Technique Feature Analysis and Learning Analytics, Educational Technology & Society. 21(2), 233-244, 2018 [SCI,IF = 3.522, 5-Year IF = 3.941, Corresponding Author]. [The prototype system proposed in this article has won the Golden Medal and Special Award - British Innovation Award in the International Invention Innovation Competition in Canada 2019].

• [J32] Luming Liang, Mingqiang Wei, Andrzej Szymczak, Anthony Petrella, Haoran Xie, Jing Qin, Jun Wang, Fu Lee Wang, Nonrigid Iterative Closest Points for Registration of 3D Biomedical Surfaces, Optics and Lasers in Engineering. 402, 141-154, 2018 [SCI, IF = 4.836, 5-Year IF = 4.894].

• [J31] Mingqiang Wei, Xianglin Guo, Huisi Wu, Haoran Xie, Fu-Lee Wang, Jing Qin, Learning-based 3D Surface Optimization from Medical Image Reconstruction, Optics and Lasers in Engineering. 103, 110-118, 2018 [SCI, IF = 4.836, 5-Year IF = 4.894, Corresponding Author].

• [J30] Di Zou, Fu Lee Wang, Haoran Xie, Tak-Lam Wong, and Reggie Kwan, A Flexible Graph-based Model for Facilitating Digital Learning Activities, International Journal of Innovation and Learning. 23(4), 444-462, 2018 [SCOPUS and INSPEC].

• [J29] Haoran Xie, Di Zou, Fu Lee Wang and Tak-Lam Wong, Modeling Second Language Learners for Learning Task Recommendation, International Journal of Innovation and Learning. 23(1), 76-92, 2018 [SCOPUS and INSPEC].

• [J28] Xu Ke, Xushen Zheng, Yi Cai, Huaqing Min, Zhen Gao, Benjin Zhu, Haoran Xie and Tak-Lam Wong, Improving User Recommendation by Extracting Social Topics and Interest Topics of Users in Uni-Directional Social Networks, Knowledge-Based Systems. 140, 120-133, 2018 [SCI, IF = 8.038, 5-Year IF = 7.842].

• [J27] Haoran Xie, Fu Lee Wang, Xudong Mao, Ke Li, Qing Li and Handing Wang, Recent Advances in Semantic Computing and Personalization, Neurocomputing. 254, 1-2, 2017 [SCI, IF = 5.719, 5-Year IF = 4.986].

• [J26] Xiangsheng Li, Yanghui Rao, Haoran Xie, Yiu Keung Raymond Lau, Jian Yin, and Fu Lee Wang, Bootstrapping Social Emotion Classification with Semantically Rich Hybrid Neural Networks, IEEE Transactions on Affective Computing. 8(4), 428-442, 2017 [SCI, IF = 10.506, 5-Year IF = 9.047].

• [J25] Haoran Xie, Di Zou, Fu Lee Wang, Tak-Lam Wong and Yanghui Rao, Discover Learning Path for Group Users: A Profile-based Approach, Neurocomputing. 254, 59-70, 2017 [SCI, IF = 5.719, 5-Year IF = 4.986].

• [J24] Yanghui Rao, Qing Li, Qingyuan Wu, Haoran Xie and Fu Lee Wang, A Multi-Relational Term Scheme for First Story Detection, Neurocomputing. 254, 42-52, 2017 [SCI, IF = 5.719, 5-Year IF = 4.986, Corresponding Author].

• [J23] Haoran Xie, Di Zou, Yanghui Rao, Tak-Lam Wong, Fu Lee Wang and Qingyuan Wu, Guest editorial preface: special issue on user modeling for web-based learning, International Journal of Distance Education Technologies. 15(2), 5-8, 2017 [SCOPUS, EI and INSPEC].

• [J22] Di Zou, Haoran Xie, Yanghui Rao, Tak-Lam Wong, Fu Lee Wang and Qingyuan Wu, A Comparative Study on Various Vocabulary Knowledge Scales for Predicting Vocabulary Pre-knowledge, International Journal of Distance Education Technologies. 15(1), 69-81, 2017 [SCOPUS, EI and INSPEC].

• [J21] Di Zou, Haoran Xie, Tak-Lam Wong, Fu Lee Wang and Qingyuan Wu, A Study on the Effectiveness of Electronic and Paper Dictionaries: Comparing the Hybrid Use of Both and the Pure of Either, International Journal of Innovation and Learning. 21(4), 379-398, 2017 [SCOPUS and INSPEC].

• [J20] Jiantao Wang, Guangjian Tian, Caifeng He, Yijiu Liu, Ivy Peng, Jia Xing, Xiangbing Ruan, Haoran Xie and Fu Lee Wang, Efficient Alarm Behavior Analytics for Telecom Networks, Information Sciences. 402, 1-14, 2017 [SCI, IF = 6.795, 5-Year IF = 6.524, Corresponding Author].

• [J19] Xiaohui Tao, Wei Huang, Xiangming Mu and Haoran Xie, Special Issue on Knowledge Management ofWeb Social Media, Web Intelligence. 14(4), 273-274, 2016 [ESCI and EI].

• [J18] Wen-hao Chen, Yi Cai, Kin Keung Lai and Haoran Xie, A Topic-based Sentiment Analysis Model to Predict Stock Market Price Movement Using Weibo Mood, Web Intelligence. 14(4), 287-300, 2016 [ESCI and EI].

• [J17] Haoran Xie, Xiaodong Li, Li Chen, Ke Li, Yi Cai, Qing Li and Qinghua Min, Personalized Search for Social Media via Dominating Verbal Context, Neurocomputing. 172, 27-37, 2016 [SCI, IF = 5.719, 5-Year IF = 4.986].

• [J16] Haoran Xie, Di Zou, Raymond Y.K. Lau, Fu Lee Wang and Tak-Lam Wong, Generating Incidental Word Learning Tasks via Topic-based and Load-based Profiles, IEEE Multimedia. 23(1), 60-70, 2016, [SCI, IF = 5.633, 5-Year IF = 4.080].

• [J15] Haoran Xie, Xiaodong Li, Tao Wang, Raymond Y.K. Lau, Tak-Lam Wong, Li Chen, Fu Lee Wang, Qing Li, Incorporating Sentiment into Tag-based User Profiles and Resource Profiles for Personalized Search in Folksonomy, Information Processing & Management. 52(1), 61-72, 2016 [SCI, IF =6.222, 5-Year IF = 5.789].

• [J14] Xiaodong Li, Haoran Xie, Ran Wang, Yi Cai, Jingjing Cao, Feng Wang, Huaqing Min, Xiaotie Deng, Empirical Analysis: Stock Market Prediction via Extreme Learning Machine, Neural Computing & Applications. 27(1), 67-78, 2016 [SCI, IF = 5.606, 5-Year IF = 5.573, Google Citation Counts= 126].

• [J13] Qing Du, Haoran Xie, Shuyue Hu, Dongping Huang, Yi Cai, Ho-fung Leung, Fu Lee Wang, Folksonomy-based Personalized Search by Hybrid User Profiles in Multiple Levels, Neurocomputing. 204, 142-152, 2016 [SCI, IF = 5.719, 5-Year IF = 4.986].

• [J12] Yanghui Rao, Haoran Xie, Jun Li, Fengmei Jin, Wei Jin, Fu Lee Wang, Qing Li, Social Emotion Classification of Short Text via Topic-level Maximum Entropy Model., Information and Management. 53(8), 978-986, 2016 [SCI, IF = 7.555, 5-Year IF = 9.183, Corresponding Author].

• [J11] Yi Cai, Wen-hao Chen, Ho-fung Leung, Qing Li, Haoran Xie, Raymond Y.K. Lau, Huaqing Min and Fu Lee Wang, Context-aware Ontologies Generation with Basic Level Concepts from Collaborative Tagging, Neurocomputing. 208, 25-38, 2016 [SCI, IF = 5.719, 5-Year IF = 4.986, Corresponding Author].

• [J10] Yanghui Rao, Haoran Xie, Xuebo Liu, Qing Li, Fu Lee Wang and Tak Lam Wong, User Authority Ranking Models for Community Question Answering, Journal of Intelligent and Fuzzy Systems. 31(5), 2533-2542, 2016 [SCI, IF = 1.851, 5-Year IF = 1.797, Corresponding Author].

• [J9] Xiaodong Li, Haoran Xie, Yangqiu Song, Shanfeng Zhu, Qing Li and Fu Lee Wang, Does Summarization Help Stock Prediction? News Impact Analysis via Summarization, IEEE Intelligent Systems. 30(3), 26-34, 2015 [SCI, IF = 3.405, 5-Year IF = 4.945, Corresponding Author].

• [J8] Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai and Yanghui Rao, Community-aware User Profile Enrichment in Folksonomy, Neural Networks. 58, 111-121, 2014 [SCI, IF = 8.050, 5-Year IF = 9.171].

• [J7] Xiaodong Li, Haoran Xie, Li Chen, Jianping Wang and Xiaotie Deng, News Impact on Stock Price Return via Sentiment Analysis, Knowledge-Based Systems. 69, 4-23, 2014 [SCI, IF = 8.038, 5-Year IF = 7.842, The Corresponding Author, Google Citation Counts= 370].

• [J6] Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai and Qianru Zheng, Mining Latent User Community from Social Media Contents and Tags, The Computer Journal. 57(9), 1415-1430, 2014 [SCI, IF = 1.494, 5-Year IF = 1.218].

• [J5] Yi Cai, Qing Li, Haoran Xie and Huaqing Min, Exploring Personalized Searches Using Tag-based User Profiles and Resource Profiles in Folksonomy, Neural Networks. 58, 98-110, 2014 [SCI, IF = 8.050, 5-Year IF = 9.171].

• [J4] Xiaodong Li, Xiaotie Deng, Shanfeng Zhu, Feng Wang and Haoran Xie, An Intelligent Market Making Strategy in Algorithmic Trading, Frontiers of Computer Science. 8(4), 596-608, 2014 [SCI, IF = 2.061, 5-Year IF = 1.962].

• [J3] Haoran Xie, Qing Li and Yi Cai, Community-aware Resource Profiling for Personalized Search in Folksonomy, Journal of Computer Science & Technology. 27(3), 599-610, 2012 [SCI, IF = 1.571, 5-Year IF = 1.497].

• [J2] Xiuzhen Feng, Yang Peng, Haoran Xie and Ang Sha, A Value-added Business Performance Management System with Adaptive Ubiquitous Technologies, International Journal of Advancements in Computing Technology. 4(14), 26-34, 2012 [EI, Corresponding Author].

• [J1] Qing Li, Yang Chen, Haoran Xie and Shengguang Meng, A Text Similarity Matrix-based Classification Algorithm on Large-scale Unstructured Complaint data, Computer Engineering & Science. 34(1), 103-107, 2012 [EI].

Edited Books

• [B6] Fu Lee Wang, Haoran Xie, Wai Lam, Aixin Sun, Lun-Wei Ku, Tianyong Hao, Wei Chen, Tak-Lam Wong, Xiaohui Tao, Information Retrieval Technology, Springer. 2019.

• [B5] Popescu Elvira, Tianyong Hao, Ting-Chia Hsu, Haoran Xie, Temperini Macro, Wei Chen, Emerging Technologies for Education, Springer. 2019.

• [B4] Leong Hou U and Haoran Xie, Web and Big Data, Springer. 2018.

• [B3] Tianyong Hao, Wei Chen, Haoran Xie, Wanvimol Nadee, and Rynson Lau, Emerging Technologies for Education, Springer. 2018.

• [B2] Haoran Xie, Elvira Popescu, Gerhard Hancke and Baltasar Fernandez-Manjon, Advances in Web-Based Learning, Springer. 2017.

• [B1] Ting-Ting Wu, Rosella Gennari, Yueh-Min Huang, Haoran Xie and Yiwei Cao, Emerging Technologies for Education, Springer. 2017.

Book Chapters

• [Ch61] Chenxin Zou, Xiaodong Li, Pangjing Wu, Haoran Xie, M2R: from Mathematical Models to Resource Description Framework, In Web and Big Data (APWeb-WAIM 2022). LNCS, 2022 (Accepted).

• [Ch60] Yingying Wang, Xiaodong Li, Pangjing Wu, Haoran Xie, Many-to-many Pair Trading, In Web and Big Data (APWeb-WAIM 2022). LNCS, 2022.

• [Ch59] Zongxi Li, Haoran Xie, Minhong Wang, Bian Wu, Yiling Hu, An Assessment Framework for Online Active Learning Performance, In Blended Learning: Blended Learning: Engaging Students in the New Normal Era (ICBL 2022). LNCS, pp. 123-134, 2022 [Corresponding Author].

• [Ch58] Di Zou, Haoran Xie, Fu Lee Wang, Effects of Scaffolded Peer Assessment on StudentsÕ Holistic Critical Thinking in Academic Writing, In Blended Learning: Blended Learning: Engaging Students in the New Normal Era (ICBL 2022). LNCS, pp. 147-156, 2022.

• [Ch57] Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Understanding Classroom Interaction Using Epistemic and Social Network Analysis, In Blended Learning: Blended Learning: Engaging Students in the New Normal Era (ICBL 2022). LNCS, pp. 157-167, 2022.

• [Ch56] Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Understanding Classroom Interaction Using Epistemic and Social Network Analysis, In Blended Learning: Blended Learning: Engaging Students in the New Normal Era (ICBL 2022). LNCS, pp. 157-167, 2022.

• [Ch55] Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, Socialization in language learning: Topic Modeling and Bibliometric Analysis, In Smart CALL: Personalization, Contextualization, & Socialization. pp. 151-183, 2022.

• [Ch54] Zekai Wu, Jiaxin Chen, Zhenguo Yang, Haoran Xie, Fu Lee Wang, Wenyin Liu, Cross-modal Attention Network with Orthogonal Latent Memory for Rumor Detection, In Web Information Systems Engineering (WISE 2021). Lecture Notes in Computer Science (LNCS), pp. 527-541, 2021.

• [Ch53] Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Vision, Challenges, Roles and Research Issues of Artificial Intelligence in Education, In Emerging Technologies for Education (SETE 2021). LNCS, pp. 334-343, 2021.

• [Ch52] Shurui Chen, Yufu Chen, Yuyin Lu, Yanghui Rao, Haoran Xie, Qing Li, Chinese Word Embedding Learning with Limited Data, In Web and Big Data (APWeb-WAIM 2021). LNCS, pp. 211-226, 2021.

• [Ch51] Caixia Liu, Di Zou, Wai Hong Chan, Haoran Xie, Fu Lee Wang, An Assessment Framework for Online Active Learning Performance, In Blended Learning: Re-thinking and Re-defining the Learning Process (ICBL 2021). LNCS, pp. 338-350, 2021.

• [Ch50] Di Zou, Haoran Xie, Fu Lee Wang, eer-Assessment Enhanced Collaborative Learning in a Virtual Learning Environment, In Blended Learning: Re-thinking and Re-defining the Learning Process (ICBL 2021). LNCS, pp. 132-141, 2021.

• [Ch49] Qingyuan Wu, Jiahua Hu, Yanghui Rao, Fu Lee Wang, Haoran Xie, nfluence Evaluation of Academic Papers via Citation Characteristics Analysis, In Technology in Education, Innovations for Online Teaching and Learning (ICTE 2020). Communications in Computer and Information Science (CCIS), pp. 1-13, 2020.

• [Ch48] Jingjing Wang, Haoran Xie, Oliver Tat Sheung Au, Lap-Kei Lee, Di Zou and Fu Lee Wang, Facilitating Course Recommendations by Word2vec Paradigm Through Social Tags, In Technology in Education, Innovations for Online Teaching and Learning (ICTE 2020). CCIS, pp. 1-9, 2020.

• [Ch47] Xieling Chen, Di Zou, Haoran Xie, and Fu Lee Wang, Smart Learning Environments: A Bibliometric Analysis, In Blended Learning (ICBL 2020). Lecture Notes in Computer Science (LNCS), pp. 353-364, 2020.

• [Ch46] Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang and Leung Pun Wong, Core Research Topics of Studies on Personalized Feedback in the Past Four Decades, In Database Systems for Advanced Applications (DASFAA-SECOP 2020). LNCS, pp. 121-130, 2020.

• [Ch45] Xieling Chen, Di Zou, Haoran Xie and Gary Cheng, What are MOOC learners concern about? Text analysis of reviews for computer science courses, In Database Systems for Advanced Applications (DASFAA-SECOP 2020). LNCS, pp. 73-79, 2020.

• [Ch44] Jionghao Lin, David Lang, Haoran Xie, , Dragan Gasevic and Guanliang Chen, Investigating the Role of Politeness in Human-Human Online Tutoring, In Artificial Intelligence in Education (AIED 2020). LNCS, pp. 174-179, 2020.

• [Ch43] Xieling Chen, Haoran Xie, Di Zou and Fu Lee Wang, Smart Learning Environments: A Bibliometric Analysis, In Blended Learning, Enhancing Learning Success (ICBL 2020). LNCS, pp. 353-364, 2020 [Excellent Paper Award].

• [Ch42] Xieling Chen, Dongfa Gao, Yonghui Lun, Dingli Zhou, Tianyong Hao and Haoran Xie, The Analysis ofWorldwide Research on Artificial Intelligence Assisted User Modeling, In Emerging Technologies for Education (SETE 2019). LNCS, pp. 201-213, 2019.

• [Ch41] Zequan Zeng, Yi Cai, Fu Lee Wang, Haoran Xie and Junying Chen, Weighted N-grams CNNfor Text Classification, In Information Retrieval Technology (AIRS 2019). LNCS, pp. 158-169, 2019.

• [Ch40] Yanghui Rao, Haoran Xie, Fu Lee Wang, Leonard K.M. Poon and Endong Zhang, Hybrid Feature-based Sentiment Strength Detection for Big Data Application, In Multimodal Analytics for Next-Generation Big Data Technologies and Applications. pp. 73-91, 2019.

• [Ch39] Haoran Xie, Minhong Wang, Di Zou and Fu Lee Wang, A Personalized Task Recommendation System for Vocabulary Learning based on Readability and Diversity, In Blended Learning (ICBL 2019). LNCS, pp. 82-92, 2019.

• [Ch38] Yuwei Liu, Xingming Chen, Yanghui Rao, Haoran Xie, Qing Li, Jun Zhang, Yingchao Zhao, Fu Lee Wang, Supervised Group Embedding for Rumor Detection in Social Media, In Web Engineering (ICWE 2019). LNCS, pp. 139-153, 2019.

• [Ch37] Haopeng Ren, ZeQuan Zeng, Yi Cai, Qing Du, Qing Li, Haoran Xie, A Weighted Word Embedding Model for Text Classification, In Database Systems for Advanced Applications (DASFAA 2019). LNCS, pp. 419-434, 2019.

• [Ch36] Xiaojing Weng, Haoran Xie and Yi Cai, Assessment Framework of English Language Proficiency for Talent Seeking Platforms at Pearl River Delta Region, In Emerging Technologies for Education (SETE 2018). LNCS, pp. 149-155, 2018.

• [Ch35] Di Zou, Fu Lee Wang, Reggie Kwan and Haoran Xie, Game-Based Vocabulary Learning in China and Hong Kong: StudentsÕ Evaluation of Different Word Learning APPs, In Technology in Education, Innovative Solutions and Practices (ICTE 2018). Communications in Computer and Information Science (CCIS), pp. 3-15, 2018.

• [Ch34] Di Zou, Fu Lee Wang, Haoran Xie and Lucas Kohnke, Investigating the Effectiveness of Vocabulary Learning Tasks from the Perspective of the Technique Feature Analysis: The Effects of Pictorial Annotations, In Technology in Education. Innovative Solutions and Practices (ICTE 2018), CCIS, pp. 44-55, 2018.

• [Ch33] Zenan Xu, Yetao Fu, Xingming Chen, Yanghui Rao, Haoran Xie, Fu Lee Wang, Yang Peng, Sentiment Classification via Supplementary Information Modeling, In Web and Big Data (APWeb-WAIM 2018). LNCS, pp. 54-62, 2018.

• [Ch32] Xiangsheng Li, Yanghui Rao, Haoran Xie, Yufu Chen, Raymond Y. K. Lau, Fu Lee Wang and Jian Yin, Learning Dual Preferences with Non-negative Matrix Tri-Factorization for Top-NRecommender System, In Database Systems for Advanced Applications (DASFAA 2018). LNCS, pp. 133-149, 2018.

• [Ch31] Wing Shui Ng, Haoran Xie, Fu Lee Wang, Enhancing Teacher Assessment Literacy Using a Blended Deep Learning Approach, In Blended Learning. Enhancing Learning Success (ICBL 2018). LNCS, pp. 203-214, 2018.

• [Ch30] Fu Lee Wang, Di Zou, Haoran Xie, ersonalized Word Learning for ESL Students via Integration of Implicit and Explicit Profiles, In Blended Learning. Enhancing Learning Success (ICBL 2018). LNCS, pp. 301-310, 2018.

• [Ch29] Xue Lei, Yi Cai, Qing Li, Haoran Xie, Ho-fung Leung and Fu Lee Wang, Combining Local and Global Features in Supervised Word Sense Disambiguation, In Web Information Systems Engineering (WISE 2018). LNCS, pp. 117-131, 2017.

• [Ch28] Haoran Xie, Di Zou, Tak-Lam Wong, Fu Lee Wang, Kwan Reggie, and Wai Hong Chan, An Explicit Learner Profiling Model for Personalized Word Learning Recommendation, In Emerging Technologies for Education (SETE 2018). LNCS, pp. 495-499, 2017.

• [Ch27] Yanghui Rao, Jianhui Pang, Haoran Xie, An Liu, Tak-Lam Wong, Qing Li and Fu Lee Wang, Supervised Intensive Topic Models for Emotion Detection over Short Text, In Database Systems for Advanced Applications (DASFAA 2017). LNCS, pp. 408-422, 2017 [Best Paper Runner Up Award].

• [Ch26] Haoran Xie, Di Zou, Fu Lee Wang and Tak-Lam Wong, A Review on Recent Development on the Evaluation Component of the Involvement Load Hypothesis, In Blended Learning. New Challenges and Innovative Practices (ICBL 2017). LNCS, pp. 447-452, 2017.

• [Ch25] Di Zou, Haoran Xie, Tak-Lam Wong, Fu Lee Wang and Qingyuan Wu, The Augmented Hybrid Graph Framework for Multi-level E-learning Applications, In Blended Learning: Aligning Theory with Practices (ICBL 2017). LNCS, pp. 360-370, 2016 [Excellent Paper Award].

• [Ch24] Tak-Lam Wong, Wai Lam, Haoran Xie and Fu Lee Wang, A Joint Framework for Collaborative Filtering and Metric Learning, In Information Retrieval Technology (AIRS 2017). LNCS, pp. 184-196, 2016.

• [Ch23] Tak-Lam Wong, Haoran Xie Di Zou and Fu Lee Wang, Using iBeacon Technology for Active Aging Learning, In Emerging Technologies for Education (SETE 2016). LNCS, pp. 331-336, 2016.

• [Ch22] Di Zou, Fu Lee Wang, Haoran Xie, and Tak-Lam Wong, English Education for the Elderly in Hong Kong, In Emerging Technologies for Education (SETE 2016). LNCS, pp. 306-310, 2016.

• [Ch21] Haoran Xie, Tak-Lam Wong, Di Zou and Fu Lee Wang, Sentiment Analysis for Older People in Cross-Platform Instant Messaging Service, In Emerging Technologies for Education (SETE 2016). LNCS, pp. 301-305, 2016.

• [Ch20] Ying Chen, Yunhui Zhuang, Haoran Xie, and Fu Lee Wang, On Security and Privacy of Quick Response System in Classroom Teaching, In Emerging Technologies for Education (SETE 2016). LNCS, pp. 591-597, 2016.

• [Ch19] Yunhui Zhuang, He Ma, Haoran Xie, Alvin Chung Man Leung, Gerhard P. Hancke and Fu Lee Wang, When Innovation Meets Evolution: An Extensive Study of Emerging e-Learning Technologies for Higher Education in Hong Kong, In Emerging Technologies for Education (SETE 2016). LNCS, pp. 574-584, 2016.

• [Ch18] Di Zou, Haoran Xie and Fu Lee Wang, Exploring the Effects of Learner-generated Multimedia Annotations on Vocabulary Acquisition, In Vocab@Tokyo 2016 Handbook. pp. 105-106, 2016.

• [Ch17] Jianhui Pang, Xiangsheng Li, Haoran Xie and Yanghui Rao, SBTM: Topic Modeling over Short Texts, In Database Systems for Advanced Applications (DASFAA-SECOP 2016). LNCS, pp. 43-56, 2016.

• [Ch16] Zewei Wu, Yanghui Rao, Xin Li, Jun Li, Haoran Xie and Fu Lee Wang, Sentiment Detection of Short Text via Probabilistic Topic Modeling, In Database Systems for Advanced Applications (DASFAA-SECOP 2015). LNCS, pp. 76-85, 2015 [Best Paper Award].

• [Ch15] Di Zou, Haoran Xie, Tak-Lam Wong, Yanghui Rao and Fu Lee Wang, Predicting Pre-knowledge on Vocabulary from e-Learning Assignments for Language Learners, In Current Developments in Web Based Learning (ICWL 2015). LNCS, pp. 111-117, 2015.

• [Ch14] Siyang Wang, Zeping Tang, Yanghui Rao, Haoran Xie and Fu Lee Wang, A Clustering Algorithm based on Minimum Spanning Tree with E-learning Applications, In Current Developments in Web Based Learning (ICWL 2015). LNCS, pp. 3-12, 2015.

• [Ch13] Di Zou, Haoran Xie, Fu Lee Wang, Tak-Lam Wong and Qingyuan Wu, Investigating the Effectiveness of the Uses of Electronic and Paper-based Dictionaries in Promoting Incidental Word Learning, In Hybrid Learning: Innovation in Educational Practices (ICBL 2015). LNCS, pp. 59-69, 2015.

• [Ch12] Di Zou, Haoran Xie, Tak-Lam Wong, Chung Keung Poon and Wai-Shing Ho, omparative Study on Heterogeneous Profiling Sources for Second Language Learners, In Technology in Education, Technology-Mediated Proactive Learning (ICTE 2015). CCIS, pp. 209-218, 2015.

• [Ch11] Jeff Tang, Haoran Xie and Tak-Lam Wong, A Big Data Framework for Early Identification of Dropout Students in MOOC, In Technology in Education, Technology-Mediated Proactive Learning (ICTE 2015). CCIS, pp. 127-132, 2015 [Google Citation Counts= 38].

• [Ch10] Yanghui Rao, Jun Li, Xiyun Xiang and Haoran Xie, Intensive Maximum Entropy Model for Sentiment Classification of Short Text, In Database Systems for Advanced Applications (DASFAA 2015). LNCS, pp. 42-51, 2015.

• [Ch9] Di Zou, Haoran Xie, Qing Li, Fu Lee Wang and Wei Chen, The Load-based Learner Profile for Incidental Word Learning Task Generation, In Advances in Web-Based Learning (ICWL 2014). LNCS, pp. 190-200, 2014 [Google Citation Counts= 39].

• [Ch8] Haoran Xie, Li Chen and Feng Wang, Collaborative Compound Critiquing, In User Modeling, Adaptation, and Personalization (UMAP 2014). LNCS, pp. 254-265, 2014.

• [Ch7] Xudong Mao, Qing Li, Haoran Xie and Yanghui Rao, Popularity Tendency Analysis of Ranking-oriented Collaborative Filtering from the Perspective of Loss Function, In Database Systems for Advanced Applications (DASFAA 2014). LNCS, pp. 451-465, 2014.

• [Ch6] Xiaodong Li, Shanfeng Zhu, Haoran Xie and Qing Li, Xiaodong Li, Shanfeng Zhu, Haoran Xie and Qing Li, In Database Systems for Advanced Applications (DASFAA 2014). LNCS, pp. 179-193, 2013.

• [Ch5] Yi Cai, Qing Li, Haoran Xie and Huaqin Min, Event Relationship Analysis for Temporal Event Search, In Database Systems for Advanced Applications (DASFAA 2013). LNCS, pp. 309-323, 2013.

• [Ch4] Haoran Xie, Qing Li and Xudong Mao, Context-Aware Personalized Search Based on User and Resource Profiles in Folksonomies, In Web Technologies and Applications (WAIM 2012). LNCS, pp. 97-108, 2012.

• [Ch3] Lijuan Yu, Qing Li, Haoran Xie and Yi Cai, Exploring Folksonomy and Cooking Procedures to Boost Cooking Recipe Recommendation, In Web Technologies and Applications (WAIM 2011). LNCS, pp. 119-130, 2011.

• [Ch2] Xiuzhen Feng, Haoran Xie, Yang Peng, Wei Chen and Huamei Sun, Groupized Learning Path Discovery based on Member Profile, In New Horizons in Web-Based Learning (ICWL 2010). LNCS, pp. 301-310, 2010.

• [Ch1] Yi Cai, Qing Li, Haoran Xie and Lijuan Yu, Personalized Resource Search by Tag-based User Profile and Resource Profile, In Web Information Systems Engineering (WISE 2010). LNCS, pp. 510-523, 2010.

Conference Proceedings

• [C76] Yiyang Shen, Yidan Feng, Weiming Wang, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei, MBA-RainGAN: A Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal, In Proceedings of 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Marina Bay Sands Expo & Convention Center, Singapore 22-27 May, IEEE, 2022.

• [C75] Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Jing Qin, I can find you! Boundary-guided Separated Attention Network for Camouflaged Object Detection, In Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI). Vancouver, BC, Canada, 22 February - 1 March, AAAI, 2022.

• [C74] Zongxi Li, Xianming Li, Haoran Xie, Qing Li, Xiaohui Tao, A Label Extension Schema for Improved Text Emotion Classification, In Proceedings of The 2021 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Virtual Conference, 14-17, December, WI-IAT, 2021.

• [C73] Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin, Direction-aware Feature-level Frequency Decomposition for Single Image Deraining, In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI). Montreal-themed Virtual Reality, 19-26, August, IJCAI, 2021.

• [C72] Ziye Chen, Cheng Ding, Zusheng Zhang, Yanghui Rao, Haoran Xie, Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference, In Proceedings of he Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP). Berkeley Hotel in Bangkok, Thailand, during August 1-6, ACL, 2021.

• [C71] Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Artificial intelligence-assisted personalized language learning: systematic review and co-citation analysis, In Proceedings of 21st International Conference on Advanced Learning Technologies (ICALT). Tartu, Estonia, July 12-15, IEEE, 2021.

• [C70] Jiaxin Chen, Zekai Wu, Zhenguo Yang, Haoran Xie, Fu Lee Wang, Wenyin Liu, Multimodal Fusion Network with Latent Topic Memory for Rumor Detection, In Proceedings of 2021 IEEE International Conference on Multimedia and Expo (ICME). Virtual Conference, 6-9, July, IEEE, 2021.

• [C69] Qi Peng, Changmeng Zheng, Yi Cai, Tao Wang, Haoran Xie and Qing Li, An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract), In Proceedings of Thirty-Fifth AAAI Conference on Artificial Intelligence. Virtual Conference, 2-9, February, AAAI, 2021.

• [C68] Xianming Li, Zongxi Li, Haoran Xie, Qing Li, Merging Statistical Feature via Adaptive Gate for Improved Text Classification, In Proceedings of Thirty-Fifth AAAI Conference on Artificial Intelligence. Virtual Conference, 2-9, February, AAAI, 2021.

• [C67] Zongxi Li, Xinhong Chen, Haoran Xie, Qing Li, Xiaohui Tao, EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification, In Proceedings of The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Virtual Conference, 14-17, December, WI-IAT, 2020 [Best Research Paper Award].

• [C66] Morris Siu Yung Jong, Chin Chung Tsai, Haoran Xie, Frankie Kwan Kit Wong, Vincent Tam, Xiaohua Zhou, Mengyuen Chen, Problems in educational use of spherical video-based immersive virtual reality in practice: The LIVIE experience, In Proceedings of 28th International Conference on Computers in Education. virtual conference, 23-27, November, pp. 724-727, APSCE, 2020.

• [C65] Xieling Chen, Di Zou, Lucas Kohnke, Haoran Xie, Emotional Issues in Collaborative Learning: Bibliometrics with Topic Modeling, In Proceedings of 2020 International Conference on Education and Artificial Intelligence (ICEAI). Hong Kong, 9-11, November, ICEAI, 2020.

• [C64] Xieling Chen, Di Zou, Haoran Xie, Gary Cheng and Caixia Liu, A Bibliometric Study on Artificial Intelligence in Education for Two Decades, In Proceedings of 2020 International Conference on Education and Artificial Intelligence (ICEAI). Hong Kong, 9-11, November, ICEAI, 2020.

• [C63] Xieling Chen, Di Zou, Gary Cheng and Haoran Xie, Thirty years of Interactive Learning Environments: A text mining based bibliometric analysis, In Proceedings of 2020 International Conference on Education and Artificial Intelligence (ICEAI). Hong Kong, 9-11, November, ICEAI, 2020.

• [C62] Song Xie, Jingjing Cao, Zhou Wu, Kai Liu, Xiaohui Tao, Haoran Xie, Sentiment Analysis of Chinese E-commerce Reviews Based on BERT, In Proceedings of 2020 IEEE 18th International Conference on Industrial Informatics (INDIN). SWarwick, United Kingdom, 20-23, July, IEEE, 2020.

• [C61] Jiemin Wu, Yanghui Rao, Zusheng Zhang, Haoran Xie, Qing Li, Fu Lee Wang and Ziye Chen, Neural Mixed Counting Models for Dispersed Topic Discovery, In Proceedings of 2020 Annual Conference of the Association for Computational Linguistics (ACL). Seattle, Washington, USA, 5-10 July, ACL, 2020.

• [C60] Sen Deng, Mingqiang Wei, Jun Wang, Yidan Feng, Luming Liang, Haoran Xie, Fu Lee Wang and Meng Wang, Detail-recovery Image Deraining via Context Aggregation Networks, In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, Washington, USA, 14-19 June, IEEE, 2020.

• [C59] Haoran Zhou, Honghua Chen, Yidan Feng, Qiong Wang, Jing Qin, Haoran Xie, Fu Lee Wang, Mingqiang Wei, Jun Wang, Geometry and Learning Co-supported Normal Estimation for Unstructured Point Cloud, In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, Washington, USA, 14-19 June, IEEE, 2020.

• [C58] Jingjing Wang, Haoran Xie, Oliver Tat Sheung Au, Di Zou, and Fu Lee Wang, Attention-based CNN for Personalized Course Recommendations for MOOC Learners, In Proceedings of the 6th International Symposium on Educational Technology (ISET). Bangkok, Thailand, 24-27 August, IEEE, 2020.

• [C57] Fu Lee Wang, Jiemin Zhong, Di Zou, Haoran Xie, Yonghui Lun and Leung Pun Wong, A Digital Educational Game based on ARCS Model for Enhancing Information Literacy, In Proceedings of the 6th International Symposium on Educational Technology (ISET). Bangkok, Thailand, 24-27 August, IEEE, 2020.

• [C56] Xieling Chen, Di Zou and Haoran Xie, Twenty years of personalized language learning: a topic modelling based bibliometric perspective, In Proceedings of the 2020 CALL Research Conference. Tokyo, July 3-5, CALL, 2020.

• [C55] Morris Siu-Yung Jong, Chin-Chung Tsai, Haoran Xie, Vincent Tam, Frankie Kwan-Kit Wong, Ching Sing Chai, Yichao Jiang, and Mengyuen Chen, A Pilot Study of Learner-Immersed Virtual Interactive Expedition, In Proceedings of the 2020 Annual Meeting on American Educational Research Association (AERA). San Francisco, USA, April 17-21, AERA, 2020.

• [C54] Morris Siu-Yung Jong, Chin-Chung Tsai, Haoran Xie, Frankie Kwan-Kit Wong, Vincent Tam and Xiaohua Zhou, Exploring the Possiblity of Leveraging Spherical Video-based Immersive Virtual Reality in Secondary Geography Education, In Proceedings of the 2019 International Conference on Computers in Education (ICCE). Kenting, Taiwan, December 2-6, APSCE, 2019.

• [C53] Zehang Lin, Haoran Xie, Peipei Kang, Zhenguo Yang, Wenyin Liu and Qing Li, Cross-domain Beauty Item Retrieval via Unsupervised Embedding Learning, In the Proceedings of ACM Multimedia 2019 (ACM MM). Nice, France, 21-25 October, pp. 2543-2547, ACM, 2019 [Silver Award in Multimedia Grand Challenges].

• [C52] Winnie W. M. Lam, Haoran Xie, Dennis Y. W. Liu and Kevin W. H. Yung, Investigating the Effect of Online Collaborative Learning on Students’ Learning Outcomes in Higher Educati, In the Proceedings of The 3rd International Conference on Education and E-Learning (ICEEL). Barcelona, Spain, November 5-7, pp. 13-19, ACM, 2019.

• [C51] Xieling Chen, Xinxin Zhang, Haoran Xie, Fu-Lee Wang and Tianyong Hao, Trends and Features of Human Brain Research Using Artificial Intelligence Techniques: A Bibliometric Approach, In the Proceedings of Joint Workshop on Human Brain and Artificial Intelligence (HBAI) of the 28th International Joint Conference on Artificial Intelligence (IJCAI). Macau, China, 10-16 August, pp. 69-83, AAAI, 2019.

• [C50] Ruofei Zhang, Di Zou and Haoran Xie, Multimedia Annotations for Contextualized Vocabulary Learning: From Working Adults’ Perspecti, In the Proceedings of World Education Research Association 2019 Focal Meeting (WERA). Tokyo, Japan, 5-8 August, WERA, 2019.

• [C49] Fu Lee Wang, Ruofei Zhang, Di Zou, Tat Sheung Oliver Au and Haoran Xie, On Hong Kong Primary School English Teachers Acceptance of Technology-enhanced Langauge Learning and Teaching, In the Proceedings of International Symposium on Educational Technology (ISET). Hradec Kralove, Czech Republic, 31 July-2 August, pp. 233-235, IEEE, 2019.

• [C48] Haoran Xie, Yi cai, Tak-Lam Wong, Di Zou and Fu Lee Wang, A Talent Assessment Model based on Learning Behaviors and Patterns,, In the Proceedings of International Symposium on Educational Technology (ISET). Hradec Kralove, Czech Republic, 31 July-2 August, pp. 3-6, IEEE, 2019.

• [C47] Zikai Zhou, Yi Cai, Jingyun Xu, Jiayuan Xie, Qing Li, and Haoran Xie, A Distant Supervised Relation Extraction Model with Two Denoising Strategies, In the Proceedings of The 2019 International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary, July 14-19, pp. 1-8, IEEE, 2019.

• [C46] Zongxi Li, Haoran Xie, Yingchao Zhao and Qing Li, Incorporating Latent Space Correlation Coefficients to Collaborative Filtering, The Workshop on Recommender Systems with Big Data (RSBD) on The 2019 IEEE International Conference on Data Engineering. Macau, April 8-12, pp. 155-160, IEEE, 2019.

• [C45] Runxuan Chen, Haoran Xie, Jiaxing Chen, Yanghui Rao, Yingchao Zhao and Fu Lee Wang, Extractive Adversarial Networks for Network Embedding, In Proceedings of the 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC). National University of Kaohsiung, Taiwan, 12-14 November, pp. 162-167, IEEE, 2018.

• [C44] Jiemin Zhong, Haoran Xie, Di Zou and Dickson K.W. Chui, A Blockchain Model for Word-learning Systems, In Proceedings of the 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC). National University of Kaohsiung, Taiwan, 12-14 November, pp. 130-131, IEEE, 2018.

• [C43] Minghui Huang, Yanghui Rao, Yuwei Liu, Haoran Xie, Fu Lee Wang, Siamese Network-Based Supervised Topic Modeling, In Proceedings of 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP). Brussels, Belguim, 31 October-4 November, pp. 4652-4662, ACL, 2018.

• [C42] Tak-Lam Wong, Haoran Xie, Fu Lee Wang, Kai Tai Tang, Anthony Kong and Reggie Kwan, Promoting Selfregulated Learning by Online Educational Resources, In the Proceedings of International Symposium on Educational Technology (ISET). Osaka, Japan, 31 July-2 August, pp. 20-24, IEEE, 2018.

• [C41] Haoran Xie, Wing Shui Ng, Di Zou and Fu Lee Wang, A Comparative Study on Recent Educational Policy Changes of Primary and Secondary Schooling in Hong Kong and Macau, In the Proceedings of International Symposium on Educational Technology (ISET). Osaka, Japan, 31 July-2 August, pp. 50-54, IEEE, 2018.

• [C40] Zongxi Li, Di Zou, Haoran Xie, Fu Lee Wang, and Maiga Chang, Enhancing Information Literacy in Hong Kong Higher Education through Game-based Learning, In the Proceedings of 22nd Global Chinese Conference on Computers in Education (GCCCE). Guangzhou, China, May 25-29, pp. 595-598, GCSCE, 2018.

• [C39] Lucas Kohnke, Di Zou, Fu Lee Wang and Haoran Xie, Game-based Vocabulary Learning in Hong Kong: Students’ Perceptions, Attitudes and Expectations of a Game-mediated Vocabulary Learning A, In Proceedings of the 2018 International Conference on Technology in Education (ICTE). Hong Kong, January 9-11, pp. 56-62, ICTE, 2018.

• [C38] Di Zou, Fu Lee Wang, Reggie Kwan and Haoran Xie, Effects of Learner-generated and Given Multimedia Annotations on Vocabulary Acquisition, In Proceedings of the 2018 International Conference on Technology in Education (ICTE). Hong Kong, January 9-11, pp. 199-206, 2018.

• [C37] Tak-Lam Wong, Yuen Tak Yu, Chung Keung Poon, Haoran Xie, Fu Lee Wang and Chung Man Tang, An Artificial Intelligence Approach to Identifying Skill Relationship, In Proceedings of the 2017 International Conference on Computers in Education (ICCE). Christchurch, New Zealand, December 4-8, pp. 86-91, APSCE, 2017.

• [C36] Endong Zhu, Yanghui Rao, Haoran Xie, Yuwei Liu, Jian Yin and Fu Lee Wang, Cluster-level Emotion Pattern Matching for Cross-Domain Social Emotion Classification, In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM). Singapore, November 6-10, pp. 2435-2438, ACM, 2017.

• [C35] Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang and Stephen Smolley, Least Squares Generative Adversarial Networks, In Proceedings of the International Conference on Computer Vision 2017 (ICCV). Venice, Italy, October 22-27, pp. 2794-2802, ICCV, 2017. [Google Citation Counts are more than 3000].

• [C34] Wenjie Zheng, Zenan Xu, Yanghui Rao, Haoran Xie, Fu Lee Wang and Reggie Kwan, Sentiment Classification of Short Text Using Sentimental Context, In Proceedings of the 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC). AGH - University of Science and Technology, Krakow, Poland, October, 16-18, pp. 408-422, IEEE, 2017.

• [C33] Ting Jin, Haoran Xie, Jingsheng Lei, Qing Li, Xiaodong Li, Xudong Mao, and Yanghui Rao, UIS-LDA: A User Recommendation based on Social Connections and Interests of Users in Uni-Directional Social Networks, In Proceedings of the 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). August 23-26, 2017 in Leipzig, Germany, pp. 260-265, IEEE, 2017.

• [C32] Xueying Zhan, Yaowei Wang, Yanghui Rao, Haoran Xie, Qing Li, Fu Lee Wang and Tak-Lam Wong, A Network Framework for Noisy Label Aggregation in Social Media, In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL). Vancouver, Canada, July 30-August 4, pp. 484-490, ACL, 2017.

• [C31] Di Zou, Haoran Xie, Fu Lee Wang,and Tak-Lam Wong, Audience and Multimodality: Factors with Important Influences on the Effectiveness of E-portfolios, In Proceedings of the Canada International Conference on Education (CICE). University of Toronto, Vancouver, Canada, June 26-29, pp. 51-54, CICE, 2017.

• [C30] Di Zou, Haoran Xie, Fu Lee Wang,and Tak-Lam Wong, Flipping the English for Scientific Communication Classroom with Peer Instruction and Just-in-time Teaching, In Proceedings of the Canada International Conference on Education (CICE). University of Toronto, Vancouver, Canada, June 26-29, pp. 433-434, CICE, 2017.

• [C29] Huijun Chen, Xin Li, Yanghui Rao, Haoran Xie, Fu Lee Wang and Tak-Lam Wong, Hybrid Convolutional Neural Network for Sentiment Strength Prediction, In Proceedings of The 2017 Conference of World Wide Web (WWW). Perth, Australia, April 3-7, pp. 5-14, ACM, 2017.

• [C28] Tak-Lam Wong, Haoran Xie, Fu Lee Wang, Chun Keung Poon and Di Zou, An Automatic Approach for Discovering Skill Relationship from Learning Data, In Proceedings of the 7th Learning Analytics and Knowledge Conference (LAK). Vancouver, Canada, March 13-17, pp. 608-609, ACM, 2017.

• [C27] Kai Yang, Yi Cai, Zhiwei Cai, Xingwei Tan, Haoran Xie, Tak Lam Wong and Wai Hong Chan, New Samples Selecting Method based on K Nearest Neighbors, In Proceedings of the 4th IEEE Conference in Big data and Smart Computing (BIGCOMP). Jeju Island, February 13-17, pp. 457-462, IEEE, 2017.

• [C26] Xiaodong Li, Haoran Xie, Fu Lee Wang and Tak-Lam Wong, Market Impact Analysis via Sentimental Transfer Learning, In Proceedings of the 4th IEEE Conference in Big data and Smart Computing (BIGCOMP). Jeju Island, February 13-17, pp. 451-452, IEEE, 2017.

• [C25] Haoran Xie, An Liu, Xiao Liu, Fu Lee Wang and Tak-Lam Wong, Revisit Tag-based Profiles in the Folksonomy: How Many Tags are Sufficient for Profiling?, In Proceedings of the 4th IEEE Conference in Big data and Smart Computing (BIGCOMP). Jeju Island, February 13-17, pp. 274-277, IEEE, 2017.

• [C24] Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong and Fu Lee Wang, Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost, In Proceedings of 31st AAAI Conference on Artificial Intelligence (AAAI). San Francisco, California, USA, February 4-9, pp. 4939-4940, AAAI, 2017.

• [C23] Di Zou, Haoran Xie, Fu Lee Wang, Student voice in digital classrooms: The use of digital tools for continuous student feedback collection, In Proceedings of the 7th International Conference of the Independent Learning Association (ICILA). Wuhan, China, 4-6 November, pp. 50-53, 2016.

• [C22] Wang Debby Dan, Haoran Xie, Fu Lee Wang and Ran Wang, Biclustering-based Iterative Segmentation of Human Face Images for Facial Feature Extraction, In Proceedings of the IEEE International Conference on Technologies for Smart Nation (TENCON). Marina Bay Sands, Singapore, November 22-25, pp. 1126-1129, IEEE, 2016.

• [C21] Wang Debby Dan, Haoran Xie, Fu Lee Wang and Yan Hong, Singular Vector Decomposation Based Hybrid Pattern Search - an Efficient Biclustering Method, In Proceedings of the 14th International Conference on Machine Learning and Cybernetics (ICMLC). Jeju Island, South Korea, July 10-13, pp. 269-274, IEEE, 2016.

• [C20] Di Zou, Haoran Xie, Tak-LamWong and Fu Lee Wang, Versatile Learning Context Framework for Heterogeneous E-learning Applications, In Proceedings of The 20th Global Chinese Conference on Computers in Education (GCCCE). Hong Kong, May 23-27, pp. 684-687, 2016.

• [C19] Xin Li, Haoran Xie, Yanghui Rao, Yanjia Chen, Xuebo Liu, Huan Huang and Fu Lee Wang, Weighted Multi-label Classification Model for Social Emotion Detection, In Proceedings of the 3rd International Conference on Big Data and Smart Computing (BIGCOMP). Hong Kong, China, January 18-20, pp. 215-222, IEEE, 2016.

• [C18] Haoran Xie, Di Zou, Fu Lee Wang, Tak-Lam Wong and Ksenia Troshina, Context-aware Personalized Courses Search based on Hybrid Learner Profile, In Proceedings of the 23rd International Conference on Computers in Education (ICCE). Hangzhou, China, November 30-December 4, pp. 62-67, APSCE, 2015.

• [C17] Haoran Xie, Di Zou, Fu Lee Wang, Tak-Lam Wong and Qingyuan Wu , Identifying Context Familiarity for Incidental Word Learning Task Recommendations, In Proceedings of the International Workshop on Technology Enhanced Language Learning (TELL) in conjunction with the 23rd International Conference on Computers in Education (ICCE). Hangzhou, China, November 30-December 4, pp. 580-586, APSCE, 2015.

• [C16] Di Zou, Haoran Xie and Fu Lee Wang, The Use of Monolingual Mobile Dictionaries in the Context of Reading by Intermediate Cantonese EFL Learners in Hong Kong, In Proceedings of the 22nd International Conference on European Association for Computer-Assisted Language Learning (EUROCALL). Universita di Padova, Italy, August 26-29, pp. 569-574, 2015.

• [C15] Di Zou, Haoran Xie, Tak-Lam Wong, Chung Keung Poon and Wai-Shing Ho, Evaluating the Profile Accuracy for Second Language Learners, In Proceedings of the 2nd International Conference on Technology in Education (ICTE). Hong Kong, July 1-2, pp. 42-47, 2015.

• [C14] Tak-Lam Wong and Haoran Xie, Mining the Big Data in MOOC, In Proceedings of the 2nd International Conference on Technology in Education (ICTE). Hong Kong, July 1-2, pp. 40-41, 2015.

• [C13] Di Zou, Haoran Xie and Fu Lee Wang, Comparing Monolingual Mobile Dictionaries and Paper Dictionaries in the Context of Reading among Cantonese EFL Learners in Hong Kong, In Proceedings of the 9th International Conference on Asia Association for Lexicography (ASIALEX). Hong Kong, June 25-27, pp. 507-512, ASIALEX, 2015.

• [C12] Haoran Xie, Di Zou, Fu Lee Wang and Tak-Lam Wong, Computer-Supported Collaborative Word Acquisition for Language Learner, In Proceedings of the 11th International Conference on Computer Supported Collaborative Learning (CSCL). Gothenburg, Sweden, June 7-11, pp. 723-724, ISLS, 2015.

• [C11] Di Zou, Haoran Xie and Fu Lee Wang, Integrating Various Feedback Approaches into Inferencing for Second Language Vocabulary Acquisition, In Proceedings of the 11th International Conference on Technology Education in Asia Pacific Region (ICTEAPR). Hong Kong, January 3-5, pp. 19-21, 2015.

• [C10] Ting Jin, Haoran Xie, Jingsheng Lei, Qing Li, Xiaodong Li, Xudong Mao, and Yanghui Rao, Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy, In Proceedings of the 2013 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Atlanta, GA USA, November 17-20, pp. 367-372, IEEE, 2013.

• [C9] Qing Li, Haoran Xie, Xudong Mao, Yi Cai and Yanghui Rao, Augmenting User Profile by Multi-facet Folksonomy Graph in Collaborative Tagging Systems, In Proceedings of 2013 Forum on Future Computing (FFC). Shanghai, China, August 16-19, pp. 20-23, 2013.

• [C8] Xudong Mao, Qing Li and Haoran Xie, A Generative Probabilistic Model for Tag Recommendation in Folksonomy, In Proceedings of the First International Workshop on Multimedia Databases and Data Engineering (MDDE) in conjunction with the 38th International Conference on Very Large Database (VLDB). Istanbul, Turkey, August 27-31, pp. 5-10, 2012.

• [C7] Xiuzhen Feng, Yang Peng and Haoran Xie, Looking into the Environmental Factors Affecting the Performance of Ubiquitous Technologies Deployment: An Empirical Study on Chinese ICT Companies, In Proceedings of the 11th Wuhan International Conference on E-business (WHICEB). Wuhan, China, May 26-28, pp. 266-273, AIS, 2012.

• [C6] Xudong Mao, Haoran Xie and Qing Li, Personalized Multimedia Recipe Search, In Proceedings of the 8th Conference on Intelligent CAD & Digital Entertainment (CIDE). Hangzhou, China, November 5-8, pp. 10-14, 2011.

• [C5] Qing Li, Xudong Mao and Haoran Xie, Interactive Tutoring of Cooking Activities with Personalized Multimedia Recipe Search, In Proceedings of the 1st ACM Workshop on Multimedia Technologies for Distance Learning (MTDL) in conjunction with the ACM Multimedia (MM). Scottsdale, Arizona, USA, Nov 28- Dec 1, pp. 31-36, ACM, 2011.

• [C4] Haoran Xie and Qing Li, Resource Profiling with Social Filtering for Personalized Search in Collaborative Tagging System, In Proceedings of the 3rd Workshop on Social Web Search and Mining (SWSM). Beijing, China, July 24-28, pp. 1-6, 2011.

• [C3] Xiuzhen Feng, Yang Peng, Haoran Xie and Ziyu Yan, Role-based Learning Path Discovery for Collaborative Business Environment, In Proceedings of International Conference on Control, Automation & System Engineering (CASE). Singapore, July 30-31, pp. 1-4, 2011.

• [C2] Haoran Xie, Lijuan Yu and Qing Li, Hybrid Semantic Item Model for Recipe Search, In Proceedings of the IEEE International Symposium on Multimedia (ISM). Taichung, Taiwan, December 13-15, pp. 254-259. IEEE, 2010.

• [C1] Qing Li, Haoran Xie, Wei Chen and Lijuan Yu, Hybrid Semantic Retrieval = User-Community Profiling + Domain Knowledge + Content-Based Retrieval, In Proceedings of the Joint Conferences on Pervasive Computing (JCPC). Tamkang, Taiwan, December 3-5, pp. 215-222, IEEE, 2009.

Patents

• [P4] Jacky Ngai, Di Zou, Haoran Xie, Kee-Lee Chou, Caixia Liu, Automatic Emotion Recognition Method, System, Computing Device, and Computer Readable Storage Medium, 22020017065.6, PCT/CN2020/118887, Hong Kong Patent (Filed) and PCT Patent based on China Patent. 2020.

• [P3] Jingjing Wang, Haoran Xie, Wai Hong Chan, A Personalised Online Learning and Professional Two-way Referral Method and System, HK30008626 and 201910878676.3, Hong Kong Patent (Granted) and China Patent. 2020.

• [P2] Yi Cai, Jiannan Zhang, Haoran Xie, A Job Graph and Clustering Method, Patent No. CN109829500A, China Patent (Filed). 2019.

• [P1] Yi Cai, Haoran Xie, Tong Chen, Jiannan Zhang, Jiemin Zhong, Job Classification Method, Patent No. HK1250879, Hong Kong Patent (Granted). 2019.

Contacts

Prof. Haoran Xie
Department of Computing and Decision Sciences
Lingnan University, Hong Kong
8 Castle Peak Road, Tuen Mun
N.T., Hong Kong SAR

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