2025

• 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), 2025. 

• 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), 2025. 

• 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), 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), MM4SG Workshop, 2025. 

• 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, 2025. 

• 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), 2025.

• 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), 2025. 

2024

• 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

• 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, 2024. 

• 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, 2024. 

• 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, 2024. 

• 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, 2024. 

• 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), 2024. 

• InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
  By Yujia Hu, Zhiqiang Hu, Chun Wei Seah, Roy Ka-Wei Lee
  Conference on Language Modeling (COLM), 2024. 

• 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. [Dataset]

• 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. 

• 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. 

• 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. [Codes]

• 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.

• 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.

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

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

2023

• 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, 2023 

• 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), 2023. [Codes]

• 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), 2023.

• 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), 2023. 

• 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.

• Layered Bias: Interpreting Bias in Pretrained Large Language Models
  by Roy Ka-Wei LEE and Nirmalendu Prakash
  Workshop on Analysing and Interpreting Neural Networks for NLP (BlackboxNLP), 2023.

• 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, and Roy Ka-Wei Lee
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 [Codes]

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

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

• 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, and Soujanya Poria
  Conference on Empirical Methods in Natural Language Processing (EMNLP): Findings, 2023

• 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 

• 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), 2023 [Codes]

• 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), 2023 [Codes]

• 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), 2023 [Codes]

• 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.

• 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), 2023.

• 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), 2023. [Codes]

• 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), 2023. [Dataset]

• 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), 2023. [Codes]

• 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), 2023 [Dataset]

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

• 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. [Codes]

2022

• 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, and Navin Kumar,
  International Conference on Computational Data and Social Networks (CSONET), 2022.

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

• Prompting for Multimodal Hateful Meme Classification
  By Rui CAO, Roy Ka-Wei LEE, Wen-Haw CHONG, and Jing JIANG
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. [Codes]

• 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.

• 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.

• Text Style Transfer: A Review and Experimental Evaluation
  By Zhiqiang HU, Roy Ka-Wei LEEm, Charu C. AGGARWAL, and Aston ZHANG
  ACM SIGKDD Explorations, 2022. 

• 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. 

• Multimodal Zero-Shot Hateful Meme Detection
  By Jiawen ZHU, Roy Ka-Wei LEE, and Wen Haw CHONG
  ACM Conference on Web Science (WEBSCI), 2022. 

• 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. 

• On Explaining Multimodal Hateful Meme Detection Models
  By Mingshan HEE, Roy Ka-Wei LEE, and Wen-Haw CHONG
  ACM The Web Conference (WWW), 2022. [Codes]

• 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. 

2021

• Early Prediction of Hate Speech Propagation
  By Ken-Yu LIN, Roy Ka-Wei LEE, Wei GAO, and Wen-Chih PENG
  IEEE ICDM Workshop on Intelligence-Augmented Anomaly Analytics (IAAA), 2021. [Codes]

• 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, and Roy Ka-Wei LEE
  IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), 2021

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

• A Syntax-Aware Encoder for Authorship Attribution
  By Jianbo LIU, Zhiqiang HU, Jiasheng ZHANG, Roy Ka-Wei LEE, and Jie SHAO
  International conference on web information systems engineering (WISE), 2021. 

• AutoChart: A Dataset for Chart-to-Text Generation Task
  By Jiawen ZHU, Jinye RAN, Roy Ka-Wei LEE, Kenny Tsu Wei CHOO, and Zhi LI
  International Conference on Recent Advances in Natural Language Processing (RANLP), 2021. [Codes]

• Syntax Matters! Syntax-Controlled in Text Style Transfer
  By Zhiqiang HU, Roy Ka-Wei LEE, and Charu C. AGGARWAL
  International Conference on Recent Advances in Natural Language Processing (RANLP), 2021. [Codes]

• Disentangling Hate in Online Memes
  By Rui CAO, Ziqing FAN, Roy Ka-Wei LEE, Wen-Haw CHONG, and Jing JIANG
  ACM International Conference on Multimedia (ACM MM), 2021. [Codes]

• Hierarchical Expert Recommendation on Community Question Answering Platforms
  by Amirabbas JALALI and Roy Ka-Wei LEE
  Canadian Conference on Artificial Intelligence (CAI), 2021. 

• 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), 2021.

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

2020

• 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.

• I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic
  by Lynnette Hui Xian NG, Roy Ka-Wei LEE, and Md Rabiul AWAL
  Workshop on NLP and CSS (NLPCSS), 2020

• HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection
  by Rui CAO and Roy Ka-Wei LEE
  International Conference on Computational Linguistics (COLING), 2020. [Codes]

• On Analyzing Annotation Consistency in Online Abusive Behavior Datasets
  by Md Rabiul AWAL, Rui CAO, Roy Ka-Wei LEE, and Sandra MITROVIC
  International Conference on Web and Social Media - Data Challenge (ICWSM-DC), 2020. [Codes]

• DeepStyle: User Style Embedding for Authorship Attribution of Short Texts
  by Zhiqiang HU, Lei WANG, Roy Ka-Wei LEE, Ee-Peng LIM, and Bo DAI
  Asia Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data (APWeb-WAIM), 2020. [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, and Heng Tao SHEN,
  IEEE International Conference on Multimedia & Expo (ICME), 2020.

• 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
  International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI), 2020. [Codes]

• 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), 2020. [Codes]

• Graph-to-Tree Learning for Solving Math Word Problems
  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), 2020. [Codes]

• Keen2Act: Activity Recommendation in Online Social Collaborative Platforms
  by Roy Ka-Wei LEE, Thong HOANG, Richard Jayadi OENTARYO, and David LO
  ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2020. [Codes]

• Retrofitting Embeddings for Unsupervised User Identity Linkage
  by Tao ZHOU, Ee-peng LIM, Roy Ka-Wei LEE, Feida ZHU, and Jiuxin CAO
  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020.

2019

• 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. [Codes]

• 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), 2019.

• 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
  Workshop on Social Network Analysis in Applications (SNAA), 2019. 

2018

• Linky: Visualizing User Profile Linkage Results For Multiple Online Social Networks
  by Roy Ka-Wei LEE, Ming Shan HEE, Philips Kokoh PRASETYO, and Ee-Peng LIM
  IEEE International Conference on Data Mining (ICDM), 2018. 

• Unsupervised User Identity Linkage via Factoid Embedding
  by Wei XIE, Xin MU, Roy Ka-Wei LEE, Feida ZHU, and Ee-Peng LIM
  IEEE International Conference on Data Mining (ICDM), 2018. 

• Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites
  by Roy Ka-Wei LEE and David LO
  ACM Conference on Web Science (WEBSCI), 2018.

• 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), 2018. [Codes]

• GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms
  by Roy Ka-Wei LEE and David LO

2017 and before
9th International Conference on Social Informatics (SOCINFO), 2017.

• On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites
  by Roy Ka-Wei LEE, Tuan-Anh HOANG, and Ee-Peng LIM
  International World Wide Web Conference (WWW), 2017. [Codes]

• Friendship Maintenance and Prediction in Multiple Social Networks
  by Roy Ka-Wei LEE and Ee-Peng LIM
  ACM Conference on Hypertext and Social Media (HT), 2016. 

• Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion
  by Roy Ka-Wei LEE and Ee-Peng LIM
  European Conference on Information Retrieval (ECIR), 2015.