For full list of my publications, please visit my Google Scholar page.
For full list of my publications, please visit my Google Scholar page.
Large Scale Narrative Analysis of Multimodal Memes
By Jia Wang Peh, Mingshan Hee, Roy Ka-Wei Lee
International AAAI Conference on Web and Social Media (ICWSM), Los Angeles, CA, USA, 05/2026. [PDF] [Code]
AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-Thought
By Zheng Weihua, Xin Huang, Zhengyuan Liu, Tarun Kumar Vangani, Bowei Zou, Xiyan Tao, Yuhao Wu, AiTi Aw, Nancy F. Chen, Roy Ka-Wei Lee
Annual AAAI Conference on Artificial Intelligence (AAAI), Singapore, 01/2026. [PDF] [Code]
Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection
By Han Wang, Deyi Ji, Junyu Lu, Lanyun Zhu, Hailong Zhang, Haiyang Wu, Liqun Liu, Peng Shu, Roy Ka-Wei Lee
Annual AAAI Conference on Artificial Intelligence (AAAI), Singapore, 01/2026. [PDF] [Code]
Beyond I’m Sorry, I Can’t: Dissecting Large-Language-Model Refusal
By Nirmalendu Prakash, Yeo Wei Jie, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee
Annual AAAI Conference on Artificial Intelligence (AAAI), Singapore, 01/2026. [PDF] [Code]
SafeLens: Segment-Level Hate Speech Detection in Online Videos
By Zhuoran Wang, Dylan Raharja, Yujia Hu, Roy Ka-Wei Lee
Annual AAAI Conference on Artificial Intelligence (AAAI) - Demonstration, Singapore, 01/2026 [PDF] [Code]
LionGuard 2: Building Lightweight, Data-Efficient & Localised Multilingual Content Moderators
Leanne TAN, Gabriel CHUA, Ziyu GE, Roy Ka-Wei LEE.
Conference on Empirical Methods in Natural Language Processing (EMNLP) - System Demonstrations, Suzhou, China, 11/2025. [PDF] [Demo]
Toxicity Red-Teaming: Benchmarking LLM Safety in Singapore’s Low-Resource Languages
Yujia Hu, Ming Shan Hee, Preslav Nakov, Roy Ka-Wei Lee
Conference on Empirical Methods in Natural Language Processing (EMNLP), Main, Suzhou, China, 11/2025. [PDF] [Code]
Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD
Bryan Chen Zhengyu Tan, Daniel Wai Kit Chin, Zhengyuan Liu, Nancy F. Chen, Roy Ka-Wei Lee
Conference on Empirical Methods in Natural Language Processing (EMNLP), Main, Suzhou, China, 11/2025. [PDF] [Code]
Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comics
Yuriel Wang Jun Long Ryan, Rui Yang Tan, Kenny Tsu Wei Choo, Roy Ka-Wei Lee
Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings, Suzhou, China, 11/2025. [PDF] [Dataset]
CCL-XCoT: An Efficient Cross-Lingual Knowledge Transfer Method for Mitigating Hallucination Generation
Zheng Weihua, Roy Ka-Wei Lee, Zhengyuan Liu, Wu Kui, AiTi Aw, Bowei Zou
Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings, Suzhou, China, 11/2025. [PDF] [Code]
Understanding Refusal in Language Models with Sparse Autoencoders
Yeo Wei Jie, Nirmalendu Prakash, Clement Neo, Ranjan Satapathy, Roy Ka-Wei Lee, Erik Cambria
Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings, Suzhou, China, 11/2025. [PDF]
Usefulness and Diminishing Returns: Evaluating Social Information in Recommender Systems
By Qing MENG, Huiyu MIN, Mingshan HEE, Roy Ka-Wei LEE, Bingtian DAI and Shuai XU
ACM Conference on Information and Knowledge Management (CIKM), Seoul, South Korea, 11/2025. [PDF]
HateClipSeg: A Segment-Level Annotated Dataset for Fine-Grained Hate Video Detection
By Han WANG, Zhuoran WANG, Roy Ka-Wei LEE
ACM International Conference on Multimedia (ACM MM), Dublin, Ireland, 10/2025. [PDF] [Dataset]
Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance?
By Junhua LIU, Roy Ka-Wei LEE, Kwan Hui LIM
International Conference on Advances in Social Network Analysis and Mining (ASONAM), Niagara Falls, Ontario, Canada, 2025. [PDF]
BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles
By Junhua LIU, Roy Ka-Wei LEE, Kwan Hui LIM
International Conference on Advances in Social Network Analysis and Mining (ASONAM), Niagara Falls, Ontario, Canada, 2025. [PDF]
Communication Games to Study Emerging Disinformation Scenarios With LLMs
By Gionnieve LIM, Bryan Chen Zhengyu TAN, Kellie Yu Hui SIM, Weiyan SHI, Ming Hui CHEW, Ming Shan HEE, Roy Ka-Wei LEE, Simon T. PERRAULT, Kenny Tsu Wei CHOO
ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), Bergen, Norway, 10/2025. [PDF]
LLMATCH: a Unified Schema Matching Framework with Large Language Models
By Sha WANG, Yuchen LE, Hanhua XIAO, Bingtian DAI, Roy Ka-Wei LEE, Lambert DENG, Yanfei DONG
APWeb-WAIM joint International Conference on Web and Big Data (APWeb-WAIM), Shenyang, China, 08/2025 [PDF]
Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization
By Yao XIAO, Hai YE, Linyao CHEN, Hwee Tou NG, Lidong BING, Xiaoli LI, Roy Ka-Wei LEE
Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, 07/2025. [PDF] [Code]
Unveiling the Capabilities of Large Language Models in Detecting Offensive Language with Annotation Disagreement
By Junyu Lu, Kai Ma, Kaichun Wang, Kelaiti Xiao, Roy Ka-Wei Lee, Bo Xu, Liang Yang, Hongfei Lin
Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, 07/2025. [PDF]
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
By Ziyu GE, Yuhao WU, Daniel Wai Kit CHIN, Roy-Ka-Wei LEE, Rui Cao
International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, 08/2025. [PDF] [Code]
A Closer Look at Backdoor Attacks on CLIP
By Shuo HE, Zhifang ZHANG, Feng LIU, Roy Ka-Wei LEE, Bo AN, Lei FENG
International Conference on Machine Learning (ICML), Vancouver, Canada, 07/2025. [PDF]
Contrastive Instruction Fine-Tuning Large Multimodal Model for Hateful Meme Classification
By Ming Shan Hee, Zihan Gao, Yinglong Wang, Xiangxiang Chu, Roy Ka-Wei Lee, Zengchang Qin
International AAAI Conference on Web and Social Media (ICWSM), Copenhagen, Denmark, 06/2025. [PDF] [Code]
LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
By Yuhao Wu, Ming Shan Hee, Zhiqiang Hu, Roy Ka-Wei Lee
International Conference on Learning Representations (ICLR), Singapore, 04/2025. [PDF] [Code]
Unmasking Implicit Bias: Evaluating Persona-Prompted LLM Responses in Power-Disparate Social Scenarios
By Bryan Chen Zhengyu Tan, Roy Ka-Wei Lee
Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), New Mexico, US, 04/2025. [PDF]
Cross Platform MultiModal Retrieval Augmented Distillation for Code-Switched Content Understanding
By Surendrabikram Thapa, Hariram Veeramani, Imran Razzak, Roy Ka-Wei Lee, Usman Naseem
ACM The Web Conference (WWW), International Workshop on Multimodal Content Analysis for Social Good (MM4SG), Sydney, Australia, 04/2025. [PDF]
Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video Detection
By Han Wang, Rui Yang Tan, Roy Ka-Wei Lee
ACM The Web Conference (WWW), Web4Good, Sydney, Australia, 04/2025. [PDF] [Code]
Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions
By Mingshan Hee, Roy Ka-Wei Lee
International AAAI Conference on Web and Social Media (ICWSM), Copenhagen, Denmark, 06/2025. [PDF] [Code]
Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification
By Lynnette Hui Xian Ng, Lain Cruickshank, Roy Ka-Wei Lee
International AAAI Conference on Web and Social Media (ICWSM), Copenhagen, Denmark, 06/2025. [PDF]
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
By Yunze Xiao, Yujia Hu, Kenny Tsu Wei Choo, Roy Ka-Wei Lee
Conference on Empirical Methods in Natural Language Processing (EMNLP), Main, Florida, United States, 11/2024. [PDF][Dataset]
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning
By Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee
Conference on Empirical Methods in Natural Language Processing (EMNLP), Main, Florida, United States, 11/2024. [PDF][Codes]
Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models
By Ming Shan Hee, Shivam Sharma, RUI CAO, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee
Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings, Florida, United States, 11/2024. [PDF]
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
By Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee
Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings, Florida, United States, 11/2024. [PDF]
MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili
By Han Wang, Rui Yang Tan, Usman Naseem, Roy Ka-Wei Lee
ACM International Conference on Multimedia (ACM MM), Melbourne, Australia, 10/2024. [PDF][Dataset]
InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
By Yujia Hu, Zhiqiang Hu, Chun Wei Seah, Roy Ka-Wei Lee
First Conference on Language Modeling (COLM), Philadelphia, United States, 10/2024. [PDF][Codes]
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, Roy Ka-Wei Lee
Workshop on Online Abuse and Harms (WOAH), Mexico City, Mexico, 06/2024. [PDF][Codes]
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, Roy Ka-Wei Lee
Workshop on Online Abuse and Harms (WOAH), Mexico City, Mexico, 06/2024. [PDF]
Contrastive Disentanglement for Authorship Attribution
By Zhiqiang Hu, Thao Thanh Nguyen, Yujia Hu, Chia-Yu Hung, Ming Shan Hee, Chun Wei Seah, Roy Ka-Wei Lee
International Workshop on Natural Language Processing for Social Media (SocialNLP), Singapore, 05/2024. [PDF][Codes]
Love-Hate Dataset: A Multi-Modal Multi-Platform Dataset Depicting Emotions in the 2023 Israel-Hamas War
By Lynnette Hui Xian Ng, Roy Ka-Wei Lee, and Adrian Xuan Wei Lim
International Workshop on Multimodal Content Analysis for Social Good (MM4SG), 05/2024. [PDF]
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, Singapore, 05/2024. [PDF][Codes]
Modularized Networks for Few-shot Hateful Meme Detection
By Rui Cao, Roy Ka-Wei Lee, and Jing Jiang
ACM The Web Conference (WWW), Web4Good, Singapore, 05/2024 [PDF][Codes]
MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation
By Han Wang and Roy Ka-Wei Lee
ACM The Web Conference (WWW), Web4Good, Singapore, 05/2024 [PDF][Codes]
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, Sorrento, Italy, 12/2023 [PDF]
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), Sorrento, Italy, 12/2023. [PDF][Codes]
Interpretable Sock Puppet Attribution
By Chun Wei Seah, Chia-Yu Hung, Zhiqiang Hu, Yujia Hu, Hai Leong Chieu, Roy Ka-Wei Lee
IEEE International Conference on Big Data (BIGDATA), Sorrento, Italy, 12/2023. [PDF]
Prompting Large Language Models for Topic Modeling
By Han Wang, Nirmalendu Prakash, Nguyen Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee
IEEE International Conference on Big Data (BIGDATA), Sorrento, Italy, 12/2023. [PDF]
Layered Bias: Interpreting Bias in Pretrained Large Language Models
By Nirmalendu Prakash, Roy Ka-Wei Lee
Workshop on Analysing and Interpreting Neural Networks for NLP (BlackboxNLP), Singapore, 2023. [PDF]
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), Singapore, 12/2023. [PDF][Codes]
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, Singapore, 12/2023 [PDF][Codes]
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, Singapore, 12/2023 [PDF]
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, Singapore, 12/2023 [PDF]
BTRec: BERT-based Trajectory Recommendation for Personalized Tours
By Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim
ACM RecSys Workshop on Recommenders in Tourism (ACM RecTour), Singapore, 2023 [PDF]
MATK: The Meme Analytical Tool Kit
By Ming Shan Hee, Aditi Kumaresan, Nguyen Khoi Hoang, Nirmalendu Prakash, Rui Cao, Roy Ka-Wei Lee
ACM International Conference on Multimedia (ACM MM), Ottawa, Canada 10/2023. [PDF][Codes]
PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models
By Nirmalendu Prakash, Han Wang, Nguyen Khoi Hoang, Ming Shan Hee, Roy Ka-Wei Lee
ACM International Conference on Multimedia (ACM MM), Ottawa, Canada 10/2023. [PDF]
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, Jing Jiang
ACM International Conference on Multimedia (ACM MM), Ottawa, Canada 10/2023. [PDF][Codes]
Decoding the Underlying Meaning of Multimodal Hateful Memes
By Mingshan Hee, Wen-Haw Chong, Roy Ka-Wei Lee
International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 08//2023. [PDF][Dataset]
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation
By Han Wang, Mingshan Hee, Md Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee
International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 08/2023. [PDF][Codes]
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, Paul Röttger
Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, 07/2023. [PDF]
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, Ee-Peng Lim
Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, 07/2023. [PDF]
TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore
By Nirmalendu Prakash, Ming Shan Hee, Roy Ka-Wei Lee
ACM Multimedia Systems Conference (MMSYS), Vancouver, Canada, 06/2023. [PDF][Dataset]
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]
Categorizing Memes About the Ukraine Conflict
By 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]
MUSCAT: Multilingual Rumor Detection in Social Media Conversations
By Md Rabiul Awal, Minh Dang Nguyen, Roy Ka-Wei Lee, Kenny Tsu Wei Choo
IEEE International Conference on Big Data (BIGDATA), Osaka, Japan 12/2022. [PDF][Codes]
Prompting for Multimodal Hateful Meme Classification
By Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang
Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, UAE 12/2022. [PDF][Codes]
Multimodal Zero-Shot Hateful Meme Detection
By Jiawen Zhu, Roy Ka-Wei Lee, Wen Haw Chong
ACM Conference on Web Science (WEBSCI), Virtual, 06/2022. [PDF][Codes]
On Explaining Multimodal Hateful Meme Detection Models
By Mingshan Hee, Roy Ka-Wei Lee, Wen-Haw Chong
ACM The Web Conference (WWW), Virtual, 04/2022. [PDF][Codes]
Early Prediction of Hate Speech Propagation
By Ken-Yu Lin, Roy Ka-Wei Lee, Wei Gao, Wen-Chih Peng
IEEE ICDM Workshop on Intelligence-Augmented Anomaly Analytics (IAAA), Virtual, 11/2021. [PDF][Codes][Slides]
Will You Dance To The Challenge? Predicting User Participation of TikTok Challenges
By Lynnette Hui Xian Ng, John Yeh Han Tan, Darryl Jing Heng Tan, Roy Ka-Wei Lee
IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), Virtual, 11/2021. [PDF]
Improving Text Auto-Completion with Next Phrase Prediction
By Dong-Ho Lee, Zhiqiang Hu, Roy Ka-Wei Lee
Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, Virtual, 11/2021. [PDF] [Codes]
A Syntax-Aware Encoder for Authorship Attribution
Jianbo Liu, Zhiqiang Hu, Jiasheng Zhang, Roy Ka-Wei Lee, Jie Shao
International conference on web information systems engineering (WISE), Virtual, 10/2021. [PDF]
AutoChart: A Dataset for Chart-to-Text Generation Task
By Jiawen Zhu, Jinye Ran, Roy Ka-Wei Lee, Kenny Tsu Wei Choo, Zhi Li
International Conference on Recent Advances in Natural Language Processing (RANLP), Virtual, 09/2021. [PDF] [Dataset]
Syntax Matters! Syntax-Controlled in Text Style Transfer
By Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal
International Conference on Recent Advances in Natural Language Processing (RANLP), Virtual, 09/2021. [PDF] [Codes]
Disentangling Hate in Online Memes
By Rui Cao, Ziqing Fan, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang
ACM International Conference on Multimedia (ACM MM), Chengdu, China, 10/2021. [PDF] [Codes]
Hierarchical Expert Recommendation on Community Question Answering Platforms
By Amirabbas Jalali, Roy Ka-Wei Lee,
Canadian Conference on Artificial Intelligence(CAI), Online, 05/2021. [PDF]
On Orthogonality Constraints for Transformers
By Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee
Joint Conference of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP), Online, 08/2021. [PDF]
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection
by Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Delhi, India, 05/2021. [PDF][Codes]
Document Structure Extraction: An Exploratory Study
By Logan Markewich, Yubin Xing, Hao Zhang, Zhexin Jiang, Navid Lambert-Shirzad, Roy Ka-Wei Lee, Zhi Li, Seok-Bum Ko
International Workshop on Scientific Document Analysis (SCIDOCA), Online, 11/2020. [PDF]
I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic
By Lynnette Hui Xian Ng, Roy Ka-Wei Lee, Md Rabiul Awal
Workshop on NLP and CSS (NLPCSS), Online, 11/2020. [PDF][Codes]
HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection
By Rui Cao, Roy Ka-Wei Lee
International Conference on Computational Linguistics (COLING), Online, 12/2020. [PDF][Codes]
On Analyzing Annotation Consistency in Online Abusive Behavior Datasets
By Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic,
International Conference on Web and Social Media - Data Challenge (ICWSM-DC), Atlanta, Georgia, U.S, 06/2020. [PDF][Codes]
DeepStyle: User Style Embedding for Authorship Attribution of Short Texts
By Zhiqiang Hu, Lei Wang, Roy Ka-Wei Lee, Ee-Peng Lim, 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]
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem
By Jipeng Zhang, Roy Ka-Wei Lee, Lei Wang, Wei Qin, Qianru Sun, Jie Shao, Ee-Peng Lim
International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI), Yokohama, Japan, 07/2020. [PDF][Codes]
DeepHate: Hate Speech Detection via Multi-Faceted Text Representations
By Rui Cao, Roy Ka-Wei Lee, Tuan-Anh Hoang,
ACM Conference on Web Science (WEBSCI), Southampton, UK, 07/2020. [PDF][Codes]
Graph-to-Tree Learning for Solving Math Word Problems
By Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, Ee-Peng Lim
Annual Conference of the Association for Computational Linguistics (ACL), Seattle, USA, 07/2020. [PDF][Codes]
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms
By Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo
ACM Conference on User Modeling, Adaptation and Personalization (UMAP), Genoa, Italy, 07/2020. [PDF][Codes]
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, Heng Tao Shen
IEEE International Conference on Multimedia & Expo (ICME), London, UK, 07/2020. [PDF][Codes]
Retrofitting Embeddings for Unsupervised User Identity Linkage
By Tao Zhou, Ee-peng Lim, Roy Ka-Wei Lee, Feida Zhu, Jiuxin Cao
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Singapore, 05/2020. [PDF]
AD-Link: An Adaptive Approach for User Identity Linkage
By Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
IEEE International Conference on Big Knowledge (ICBK), Beijing, China, 11/2019. [PDF]
Topic Enhanced Word Embedding for Toxic Content Detection in Q&A Sites
By Do Yeon Kim, Xiaohang Li, Sheng Wang, Yunying Zhuo, Roy Ka-Wei Lee
Workshop on Social Network Analysis in Applications (SNAA), Vancouver, Canada, 08/2019. [PDF] [Slides]
Linky: Visualizing User Profile Linkage Results For Multiple Online Social Networks
By Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim
IEEE International Conference on Data Mining (ICDM), Singapore, 11/2018. [PDF] [Demo]
Unsupervised User Identity Linkage via Factoid Embedding
By Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
IEEE International Conference on Data Mining (ICDM), Singapore, 11/2018. [PDF] [Codes]
Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites
By Roy Ka-Wei Lee, David Lo
ACM Conference on Web Science (WEBSCI), Amsterdam, Netherlands, 05/2018. [PDF] [Slides]
Discovering Hidden Topical Hubs and Authorities in Online Social Networks
By Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim
SIAM International Conference on Data Mining (SDM), San Diego California, USA, 04/2018. [PDF] [Slides] [Codes]
GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms
By Roy Ka-Wei Lee, David Lo
International Conference on Social Informatics (SOCINFO), Oxford, UK, 09/2017. [PDF] [Slides]
On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites
By Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim,
International World Wide Web Conference (WWW), Perth, Australia, 04/2017. [PDF] [Slides][Codes]
Friendship Maintenance and Prediction in Multiple Social Networks
By Roy Ka-Wei Lee, Ee-Peng Lim
ACM Conference on Hypertext and Social Media (HT), Halifax, Canada, 07/2016. [PDF] [Slides]
Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion
By Roy Ka-Wei Lee, Ee-Peng Lim
European Conference on Information Retrieval (ECIR), Vienna, Austria, 03/2015. [PDF] [Slides]
DelayFlow Centrality for Identifying Critical Nodes in Transportation Networks
By Yew-Yih Cheng, Roy Ka-Wei Lee, Ee-Peng Lim, Feida Zhu
International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, Canada, 08/2013. [PDF]
Contrastive Token-level Explanations for Graph-based Rumour Detection
By Chin Wai Kit Daniel, Roy Ka-Wei Lee
IEEE Transactions on Computational Social Systems (TCSS), 2025. [PDF][Codes]
Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users?
By Zhiqiang Hu, Roy Ka-Wei Lee, Nancy F. Chen
IEEE Transactions on Computational Social Systems (TCSS), 2025. [PDF][Codes]
RumourGraphXplainer: Do Structures Really Matter in Rumour Detection?
By Chin Wai Kit Daniel, Kwan Hui Lim, Roy Ka-Wei Lee
IEEE Transactions on Computational Social Systems (TCSS), 2024. [PDF][Codes]
TikTok's Project Texas - Social Media Data Governance across Geopolitical Lines
By Roy Ka-Wei Lee, Lynnette Hui Xian Ng
ACM Digital Government: Research and Practice (DGOV), 2023. [PDF]
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]
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, Navin Kumar,
Trauma, Violence, & Abuse, 2023. [PDF]
Predicting Hate Intensity of Twitter Conversation Threads
By Qing Meng, Tharun Suresh, Roy Ka-Wei Lee, Tanmoy Chakraborty
Knowledge-based Systems (KBS), 2023. [PDF]
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
By Md Rabiul Awal, Roy Ka-Wei Lee, Tanmay Garg, Eshaan Tanwar, Tanmoy Chakraborty
IEEE Transactions on Computational Social Systems (TCSS), 2023. [PDF]
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, Xing Bao
IEEE Transactions on Computational Social Systems (TCSS), 2022. [PDF]
DReD - A Descriptive Relation Dataset for Expanding Relation Extraction
By Logan Markewich, Yubin Xing, Roy Ka-Wei Lee, Zhi Li, Seokbum Ko
IEEE Transactions on Artificial Intelligence (TAI), 2022. [PDF]
Text Style Transfer: A Review and Experimental Evaluation
By Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang
ACM SIGKDD Explorations, 2022. [PDF]
Temporal-aware and Multifaceted Social Contexts Modeling for Social Recommendation
By Qing Meng, Bo Liu, Hengyuan Zhang, Xuheng Ssun, Jiuxin Cao, Roy Ka-Wei Lee
Knowledge-based Systems (KBS), 2022. [PDF]
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, Roy Ka-Wei Lee
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [PDF]
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, Seok-Bum Ko
International Journal on Document Analysis and Recognition (IJDAR), 2022 [PDF]
Online Xenophobic Behavior Amid COVID-19 Pandemic: A Commentary
By Roy Ka-Wei Lee, Zhi Li,
ACM Digital Government: Research and Practice (DGOV), 2020. [PDF]
Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks
By Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. [PDF][Codes]
Time-Series Data Mining in Transportation: A Case Study on Singapore Public Train Commuter Travel Patterns
By Roy Ka-Wei Lee, Tin Seong Kam
IACSIT International Journal of Engineering and Technology, 6, 5, 2014. [PDF]
Measuring Centralities for Transportation Networks Beyond Structures
By Yew-Yih Cheng, Roy Ka-Wei Lee, Ee-Peng Lim, Feida Zhu,
Applications of Social Media and Social Network Analysis, edited by Przemysław Kazienko, Nitesh Chawla, Springer, 2014. [PDF]
Understanding (Dark) Humour with Internet Meme Analysis
By Minghsan Hee, Rui Cao, Tanmoy Chakraborty, Roy Ka-Wei Lee
ACM The Web Conference (WWW'24), 05/2024. [Slides][Codes]
Perils and Promises of Automated Hate Speech Detection
By Roy Ka-Wei Lee, Rui Cao
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'20), 12/2020. [Slides][Codes]
On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic
By Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic
Arxiv, 07/2020. [PDF][Dataset]
Analyzing and modeling users in multiple online social platforms
By Roy Ka-Wei Lee, 2019 [PDF]