1. "SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore", By Ri Chi Ng, Nirmalendu Prakash, Ming Shan Hee, Kenny Tsu Wei Choo, and Roy Ka-Wei Lee, Workshop on Online Abuse and Harms (WOAH), 2024. [PDF][Codes]

2. "Improving Covert Toxicity Detection by Retrieving and Generating References", By Dong-Ho Lee , Hyundong Justin Cho, Woojeong Jin, Jihyung Moon, Sungjoon Park, Paul Rottger, Jay Pujara, and Roy Ka-Wei Lee, Workshop on Online Abuse and Harms (WOAH), 2024. [PDF][Codes]

3. "Contrastive Disentanglement for Authorship Attribution", By Zhiqiang Hu, Thao Thanh Nguyen, Yujia Hu, Chia-Yu Hung, Ming Shan Hee, Chun Wei Seah, and Roy Ka-Wei Lee International Workshop on Natural Language Processing for Social Media (SocialNLP), 2024. [PDF][Codes]

4. "Love-Hate Dataset: A Multi-Modal Multi-Platform Dataset Depicting Emotions in the 2023 Israel-Hamas War", By Lynnette Ng, Roy Ka-Wei Lee, and Adrian Xuan Wei Lim International Workshop on Multimodal Content Analysis for Social Good (MM4SG), 2024. [PDF][Codes] 

5. "Brinjal: A Web-Plugin for Collaborative Hate Speech Detection" By Ming Shan Hee, Karandeep Singh, Charlotte Ng Si Min, Kenny Tsu Wei Choo, and Roy Ka-Wei Lee, ACM The Web Conference (WWW) - Demonstration Track, 2024. [PDF][Codes]

6. "Modularized Networks for Few-shot Hateful Meme Detection", By Rui Cao, Roy Ka-Wei Lee, and Jing Jiang, ACM The Web Conference (WWW), Web4Good, 02/2024 [PDF]

7. "MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation", By Han Wang and Roy Ka-Wei Lee, ACM The Web Conference (WWW), Web4Good, 02/2024 [PDF]

8. "SBTREC - A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis", By Ngai Lam Ho, Roy Ka-Wei Lee, and Kwan Hui Lim, IEEE BigData 2023 special session 9th Special Session on Intelligent Data Mining, 12/2023 [PDF]

9. "MERMAID: A Dataset and Framework for Multimodal Meme Semantic Understanding", By Shaun Shou'en Toh, Adriel Kuek, Wen-Haw Chong, and Roy Ka-Wei Lee, IEEE International Conference on Big Data (BIGDATA), 12/2023. [PDF][Codes]

10. "Interpretable Sock Puppet Attribution", By Chun Wei Seah, Chia-Yu Hung, Zhiqiang Hu, Yujia Hu, Hai Leong Chieu, and Roy Ka-Wei Lee, IEEE International Conference on Big Data (BIGDATA), 12/2023. [PDF][Codes]

11. "Prompting Large Language Models for Topic Modeling", By Han Wang, Nirmalendu Prakash, Nguyen Khoi Hoang, Ming Shan Hee, Usman Naseem, and Roy Ka-Wei Lee, IEEE International Conference on Big Data (BIGDATA), 12/2023. [PDF][Codes]

12. "Layered Bias: Interpreting Bias in Pretrained Large Language Models", By Nirmalendu Prakash and Roy Ka-Wei Lee, Workshop on Analysing and Interpreting Neural Networks for NLP (BlackboxNLP), 2023. [PDF]

13. "LLM-Adapter: An Empirical Study of Adapter-based Parameter-Efficient Fine-Tuning for Large Language Models", By Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee, Conference on Empirical Methods in Natural Language Processing (EMNLP), 12/2023. [PDF][Codes]

14. "Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer", By Zhiqiang Hu, Nancy F. Chen, Roy Ka-Wei Lee, Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, 12/2023 [PDF][Codes]

15. "Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification", By Chia-Yu Hung, Zhiqiang Hu, Yujia Hu, Roy Ka-Wei Lee, Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, 12/2023 [PDF][Codes]

16. "Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts", By Deepanway Ghosal, Navonil Majumder, Roy Ka-Wei Lee, Rada Mihalcea, Soujanya Poria, Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, 12/2023 [PDF][Codes]

17. "BTRec: BERT-based Trajectory Recommendation for Personalized Tours", By Ngai Lam Ho, Roy Ka-Wei Lee, and Kwan Hui Lim, ACM RecSys Workshop on Recommenders in Tourism (ACM RecTour), 2023 [PDF]

18. "MATK: The Meme Analytical Tool Kit", By Ming Shan Hee, Aditi Kumaresan, Nguyen Khoi Hoang, Nirmalendu Prakash, Rui Cao, and Roy Ka-Wei Lee, ACM International Conference on Multimedia (ACM MM), Ottawa, Canada 10/2023. [PDF][Codes]

19. "PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models", By Nirmalendu Prakash, Han Wang, Nguyen Khoi Hoang, Ming Shan Hee, and Roy Ka-Wei Lee, ACM International Conference on Multimedia (ACM MM), Ottawa, Canada 10/2023. [PDF][Codes]

20. "Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection", By Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, and Jing Jiang, ACM International Conference on Multimedia (ACM MM), Ottawa, Canada 10/2023. [PDF][Codes]

21. "Decoding the Underlying Meaning of Multimodal Hateful Memes", By Mingshan Hee, Wen-Haw Chong, and Roy Ka-Wei Lee, International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 08//2023. [PDF][Dataset]

22. "Evaluating GPT-3 Generated Explanations for Hateful Content Moderation", By Han Wang, Mingshan Hee, Md Rabiul Awal, Kenny Tsu Wei Choo, and Roy Ka-Wei Lee, International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 08/2023. [PDF][Codes]

23. "Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore", By Janosch Haber, Bertie Vidgen, Matthew S. Chapman, Vibhor Agarwal, Roy Ka-Wei Lee, Yong Keong Yap, and Paul Röttger, Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, 07/2023. [PDF]

24. "Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models", By Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, and Ee-Peng Lim , Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, 07/2023. [PDF]

25. "TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore", By Nirmalendu Prakash, Ming Shan Hee, and Roy Ka-Wei Lee, ACM Multimedia Systems Conference (MMSYS), Vancouver, Canada, 06/2023. [PDF][Dataset]

26. "LRS4DP: Location Recommendation System for Destination Prediction", By Bing Zhao, Haodong Sun, Wee Siong Ng , Roy Ka-Wei Lee, Yanyan Chen, IEEE International Conference on Mobile Data Management (MDM), 2023. [PDF]

27. "Categorizing Memes About the Ukraine Conflict", Keyu Chen, Ashley Feng, Rohan Aanegola, Koustuv Saha, Allie Wong, Zach Schwitzky, Roy Ka-Wei Lee, Robin O’Hanlon, Munmun De Choudhury, Frederick L. Altice, Kaveh Khoshnood & Navin Kumar, International Conference on Computational Data and Social Networks (CSONET), Virtual, 12/2022. [PDF]

28. "MUSCAT: Multilingual Rumor Detection in Social Media Conversations", Md Rabiul AWAL, Minh Dang NGUYEN, Roy Ka-Wei LEE, and Kenny Tsu Wei CHOO. IEEE International Conference on Big Data (BIGDATA), Osaka, Japan 12/2022. [PDF][Codes]

29. "Prompting for Multimodal Hateful Meme Classification", Rui CAO, Roy Ka-Wei LEE, Wen-Haw CHONG, and Jing JIANG. Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, UAE 12/2022. [PDF][Codes]

30. "Multimodal Zero-Shot Hateful Meme Detection". Jiawen ZHU, Roy Ka-Wei LEE, and Wen Haw CHONG. 14th ACM Conference on Web Science (WEBSCI), Virtual, 06/2022. [PDF][Codes]

31. "On Explaining Multimodal Hateful Meme Detection Models", Mingshan HEE, Roy Ka-Wei LEE, and Wen-Haw CHONG. ACM The Web Conference (WWW), Virtual, 04/2022. [PDF][Codes]

32. "Early Prediction of Hate Speech Propagation", Ken-Yu Lin, Roy Ka-Wei Lee, Wei Gao, and Wen-Chih Peng. IEEE ICDM Workshop on Intelligence-Augmented Anomaly Analytics (IAAA), Virtual, 11/2021. [PDF][Codes][Slides]

33. "Will You Dance To The Challenge? Predicting User Participation of TikTok Challenges", Lynnette Hui Xian Ng, John Yeh Han Tan, Darryl Jing Heng Tan, and Roy Ka-Wei Lee. IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), Virtual, 11/2021. [PDF]

34. "Improving Text Auto-Completion with Next Phrase Prediction", Dong-Ho LEE, Zhiqiang HU, and Roy Ka-Wei LEE. Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Virtual, 11/2021. [PDF] [Codes]

35. "A Syntax-Aware Encoder for Authorship Attribution", Jianbo LIU, Zhiqiang HU, Jiasheng ZHANG, Roy Ka-Wei LEE and Jie SHAO. 22nd International conference on web information systems engineering (WISE), Virtual, 10/2021. [PDF]

36. "AutoChart: A Dataset for Chart-to-Text Generation Task", Jiawen ZHU, Jinye RAN, Roy Ka-Wei LEE, Kenny Tsu Wei CHOO and Zhi LI, 13th International Conference on Recent Advances in Natural Language Processing (RANLP), Virtual, 09/2021. [PDF] [Dataset]

37. "Syntax Matters! Syntax-Controlled in Text Style Transfer", Zhiqiang HU, Roy Ka-Wei LEE and Charu C. AGGARWAL, 13th International Conference on Recent Advances in Natural Language Processing (RANLP), Virtual, 09/2021. [PDF] [Codes]

38. "Disentangling Hate in Online Memes", Rui CAO, Ziqing FAN, Roy Ka-Wei LEE, Wen-Haw CHONG and Jing JIANG, 29th ACM International Conference on Multimedia (ACM MM), Chengdu, China, 10/2021. [PDF] [Codes]

39. "Hierarchical Expert Recommendation on Community Question Answering Platforms", by Amirabbas JALALI and Roy Ka-Wei LEE, 34th Canadian Conference on Artificial Intelligence(CAI), Online, 05/2021. [PDF]

40. "On Orthogonality Constraints for Transformers", by Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao and Roy Ka-Wei Lee, 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), Online, 08/2021. [PDF]

41. "AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection", by Md Rabiul AWAL, Rui CAO, Roy Ka-Wei LEE and Sandra MITROVIC, 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Delhi, India, 05/2021. [PDF][Codes]

42. "Document Structure Extraction: An Exploratory Study", by Logan Markewich, Yubin Xing, Hao Zhang, Zhexin Jiang, Navid Lambert-Shirzad, Roy Ka-Wei Lee, Zhi Li and Seok-Bum Ko, 4th International Workshop on SCIentific DOCument Analysis (SCIDOCA), Online, 11/2020. [PDF]

43. "I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic", by Lynnette Hui Xian NG, Roy Ka-Wei LEE and Md Rabiul AWAL, 4th Workshop on NLP and CSS (NLPCSS), Online, 11/2020. [PDF][Codes]

44. "HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection", by Rui CAO and Roy Ka-Wei LEE, 28th International Conference on Computational Linguistics (COLING), Online, 12/2020. [PDF][Codes]

45. "On Analyzing Annotation Consistency in Online Abusive Behavior  Datasets", by Md Rabiul AWAL, Rui CAO, Roy Ka-Wei LEE and Sandra MITROVIC, 14th International Conference on Web and Social Media - Data Challenge (ICWSM-DC), Atlanta, Georgia, U.S, 06/2020. [PDF][Codes]

46. "Metaheuristic for the Personalized Course Sequence Recommendation Problem (extended abstract)", by Aldy GUNAWAN,  Audrey Tedja WIDJAJA, Roy Ka-Wei LEE, and Ee-Peng LIM, 13th International Conference on the Practice and Theory of Automated Timetabling (PATAT), Bruges, Belgium, 08/2020. [PDF]

47. "DeepStyle: User Style Embedding for Authorship Attribution of Short Texts (short)", by Zhiqiang HU, Lei WANG, Roy Ka-Wei LEE, Ee-Peng LIM, and Bo DAI, Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM), Tianjin, China, 08/2020. [PDF][Codes]

48. "Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem", by Jipeng ZHANG, Roy Ka-Wei LEE,  Lei WANG, Wei QIN, Qiangru SUN, Jie SHAO, and Ee-Peng LIM,  29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI), Yokohama, Japan, 07/2020. [PDF][Codes]

49. "DeepHate: Hate Speech Detection via Multi-Faceted Text Representations", by Rui CAO, Roy Ka-Wei LEE,  and Tuan-Anh HOANG, 12th ACM Conference on Web Science (WEBSCI),  Southampton, UK, 07/2020. [PDF][Codes]

50. "Graph-to-Tree Learning for Solving Math Word Problems", by Jipeng ZHANG, Lei WANG, Roy Ka-Wei LEE,  Yi BIN, Yan WANG, Jie SHAO,  and Ee-Peng LIM, Annual Conference of the Association for Computational Linguistics (ACL),  Seattle, USA, 07/2020. [PDF][Codes]

51. "Keen2Act: Activity Recommendation in Online Social Collaborative Platforms (short)", by Roy Ka-Wei LEE, Thong HOANG, Richard Jayadi OENTARYO, and David LO,  28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP), Genoa, Italy, 07/2020. [PDF][Codes]

52. "OCEAN: A Dual Learning Approach for Generalized Zero-Shot Sketch-Based Image Retrieval", by Jiawen ZHU, Xing XU, Fumin SHEN, Roy Ka-Wei LEE, Zheng WANG, and Heng Tao SHEN, IEEE International Conference on Multimedia & Expo (ICME), London, UK, 07/2020. [PDF][Codes]

53. "Retrofitting Embeddings for Unsupervised User Identity Linkage", by Tao ZHOU, Ee-peng LIM, Roy Ka-Wei LEE, Feida ZHU, and Jiuxin CAO, 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Singapore, 05/2020. [PDF]

54. "AD-Link: An Adaptive Approach for User Identity Linkage", by Xin MU, Wei XIE, Roy Ka-Wei LEE, Feida ZHU, and Ee-Peng LIM, IEEE International Conference on Big Knowledge (ICBK), Beijing, China, 11/2019. [PDF]

55. "Topic Enhanced Word Embedding for Toxic Content Detection in Q&A Sites", by Do Yeon KIM, Xiaohang LI, Sheng WANG, Yunying ZHUO, and Roy Ka-Wei LEE, 9th Workshop on Social Network Analysis in Applications (SNAA), Vancouver, Canada, 08/2019. [PDF] [Slides]

56. "Linky: Visualizing User Profile Linkage Results For Multiple Online Social Networks (demo)", by Roy Ka-Wei LEE, Ming Shan HEE, Philips Kokoh PRASETYO, and Ee-Peng LIM, IEEE International Conference on Data Mining (ICDM), Singapore, 11/2018. [PDF] [Demo]

57. "Unsupervised User Identity Linkage via Factoid Embedding (short)", by  Wei XIE, Xin MU, Roy Ka-Wei LEE, Feida ZHU, and Ee-Peng LIM, IEEE International Conference on Data Mining (ICDM), Singapore, 11/2018. [PDF] [Codes]

58. “Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites”, by Roy Ka-Wei LEE and David LO, 10th ACM Conference on Web Science (WEBSCI), Amsterdam, Netherlands, 05/2018. [PDF] [Slides]

59. “Discovering Hidden Topical Hubs and Authorities in Online Social Networks”, by Roy Ka-Wei LEE, Tuan-Anh HOANG and Ee-Peng LIM, SIAM International Conference on Data Mining (SDM), San Diego California, USA, 04/2018. [PDF] [Slides] [Codes]

60. “GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms (poster)”, by Roy Ka-Wei LEE and David LO, 9th International Conference on Social Informatics (SOCINFO), Oxford, UK, 09/2017. [PDF] [Slides]

61. “On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites”, by Roy Ka-Wei LEE, Tuan-Anh HOANG and Ee-Peng LIM, 26th International World Wide Web Conference (WWW), Perth, Australia, 04/2017. [PDF] [Slides][Codes]

62. “Friendship Maintenance and Prediction in Multiple Social Networks”, by Roy Ka-Wei LEE and Ee-Peng LIM, 27th ACM Conference on Hypertext and Social Media (HT), Halifax, Canada, 07/2016. [PDF] [Slides]

63. “Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion”, by Roy Ka-Wei LEE and Ee-Peng LIM,  37th European Conference on Information Retrieval (ECIR), Vienna, Austria, 03/2015. [PDF] [Slides]

64. “DelayFlow Centrality for Identifying Critical Nodes in Transportation Networks (poster) ”, by Yew-Yih CHENG, Roy Ka-Wei LEE, Ee-Peng LIM and Feida ZHU, 5th International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, 08/2013. [PDF]

Journal Publications

1. "RumourGraphXplainer: Do Structures Really Matter in Rumour Detection" By Chin Wai Kit Daniel, Kwan Hui Lim, and Roy Ka-Wei Lee, IEEE Transactions on Computational Social Systems (TCSS), 2024. [PDF][Codes]

2. "TikTok's Project Texas - Social Media Data Governance across Geopolitical Lines", By Roy Ka-Wei Lee and Lynnette Hui Xian Ng, ACM Digital Government: Research and Practice (DGOV), 2023. [PDF]

3. "CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysis", By Jie Gao, Kenny Tsu Wei Choo, Junming Cao, Roy Ka-Wei Lee, Simon Perrault, ACM Transactions on Computer-Human Interaction, 2023 [PDF]

4. "Misogynistic Extremism: A Scoping Review", By Robin O’Hanlon, Frederick L. Altice, Roy Ka-Wei Lee, Jack LaViolette, Gloria Mark, Orestis Papakyriakopoulos, Koustuv Saha, Munmun De Choudhury, and Navin Kumar, Trauma, Violence, & Abuse, 2023. [PDF]

5. "Predicting Hate Intensity of Twitter Conversation Threads", By Qing MENG, Tharun SURESH, Roy Ka-Wei LEE, and Tanmoy CHAKRABORTY, Knowledge-based Systems (KBS), 2023. [PDF]

6. "Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection", By Md Rabiul AWAL, Roy Ka-Wei LEE, Tanmay GARG, Eshaan TANWAR, and Tanmoy CHAKRABORTY, IEEE Transactions on Computational Social Systems (TCSS), 2023. [PDF]

7. "Attention-Fused Deep Relevancy Matching Network for Clickbait Detection", By Qing MENG, Bo LIU, xiangguo SUN, Hui YAN, Chengyu LIANG, Jiuxin CAO, Roy Ka-Wei LEE, and Xing BAO, IEEE Transactions on Computational Social Systems (TCSS), 2022. [PDF]

8. "DReD - A Descriptive Relation Dataset for Expanding Relation Extraction", By Logan MARKEWICH, Yubin XING, Roy Ka-Wei LEE, Zhi LI, and Seokbum KO, IEEE Transactions on Artificial Intelligence (TAI), 2022. [PDF] 

9. "Text Style Transfer: A Review and Experimental Evaluation", by Zhiqiang HU, Roy Ka-Wei LEE, Charu C. AGGARWAL, and Aston ZHANG, ACM SIGKDD Explorations, 2022. [PDF]

10. "Temporal-aware and Multifaceted Social Contexts Modeling for Social Recommendation", by Qing MENG, Bo LIU, Hengyuan ZHANG, Xuheng SUN, Jiuxin CAO, and Roy Ka-Wei LEE,  Knowledge-based Systems (KBS), 2022. [PDF]

11. "Nowhere to Hide: Online Rumor Detection based on Retweeting Graph Neural Networks", by Bo LIU,  Xiangguo SUN, Qing MENG, Xinyan YANG, Yang LEE,  Jiuxin CAO, Junzhou LUO, and Roy Ka-Wei LEE, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [PDF]

12. "Segmentation for document layout analysis: not dead yet", by Logan MARKEWICH, Hao ZHANG, Yubin XING, Navid LAMBERT-SHIRZAD, Zhexin JIANG, Roy Ka-Wei LEE,  Zhi LI and Seok-Bum KO, International Journal on Document Analysis and Recognition (IJDAR), 2022 [PDF]

13. "Online Xenophobic Behavior Amid COVID-19 Pandemic: A Commentary", by Roy Ka-Wei LEE and Zhi LI, ACM Digital Government: Research and Practice (DGOV), 2020. [PDF]

14. “Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks”, by Roy Ka-Wei LEE, Tuan-Anh HOANG and Ee-Peng LIM, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. [PDF][Codes]

15. “Time-Series Data Mining in Transportation: A Case Study on Singapore Public Train Commuter Travel Patterns”, by Roy Ka-Wei LEE and Tin Seong KAM,  IACSIT International Journal of Engineering and Technology, 6, 5, 2014.  [PDF] 

Chapters in Books

1. "Measuring Centralities for Transportation Networks Beyond Structures", by Yew-Yih CHENG, Roy Ka-Wei LEE, Ee-Peng LIM and Feida ZHU, in Applications of Social Media and Social Network Analysis, edited by Przemysław Kazienko, Nitesh Chawla, Springer, 2014. [PDF]

Technical Reports

1. "On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic", by Md Rabiul AWAL, Rui CAO, Roy Ka-Wei LEE and Sandra MITROVIC, Arxiv, 07/2020. [PDF][Dataset]

Dissertation