For full list of my publications, please visit my Google Scholar page.
For full list of my publications, please visit my Google Scholar page.
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]
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]
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]
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]
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]
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]
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][Codes]
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]
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), 2024. [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]