DelayFlow centrality for identifying critical nodes in transportation networks. - Yew-Yih Cheng; Roy Ka-Wei Lee; Ee-Peng Lim; Feida Zhu 001 (ASONAM, 2013)

Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion. - Roy Ka-Wei Lee; Ee-Peng Lim (ECIR, 2015)

SignEPC : A Digital Signature Scheme for Efficient and Scalable Access Control in EPCglobal Network. - Roy Ka-Wei Lee; Yingjiu Li (CoRR, 2015)

Measuring Centralities for Transportation Networks Beyond Structures. - Yew-Yih Cheng; Roy Ka-Wei Lee; Ee-Peng Lim; Feida Zhu 001 (Applications of Social Media and Social Network Analysis, 2015)

Friendship Maintenance and Prediction in Multiple Social Networks. - Roy Ka-Wei Lee; Ee-Peng Lim (HT, 2016)

GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms. - Roy Ka-Wei Lee; David Lo 001 (SocInfo (2), 2017)

On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites. - Roy Ka-Wei Lee; Tuan-Anh Hoang; Ee-Peng Lim (WWW, 2017)

Linky: Visualizing User Identity Linkage Results for Multiple Online Social Networks. - Roy Ka-Wei Lee; Ming Shan Hee; Philips Kokoh Prasetyo; Ee-Peng Lim (ICDM Workshops, 2018)

Unsupervised User Identity Linkage via Factoid Embedding. - Wei Xie 005; Xin Mu; Roy Ka-Wei Lee; Feida Zhu 001; Ee-Peng Lim (ICDM, 2018)

Discovering Hidden Topical Hubs and Authorities in Online Social Networks. - Roy Ka-Wei Lee; Tuan-Anh Hoang; Ee-Peng Lim (SDM, 2018)

Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites. - Roy Ka-Wei Lee; David Lo 001 (WebSci, 2018)

Topic enhanced word embedding for toxic content detection in Q&A sites. - Do Yeon Kim; Xiaohang Li; Sheng Wang; Yunying Zhuo; Roy Ka-Wei Lee (ASONAM, 2019)

AD-Link: An Adaptive Approach for User Identity Linkage. - Xin Mu; Wei Xie 005; Roy Ka-Wei Lee; Feida Zhu 001; Ee-Peng Lim (ICBK, 2019)

Graph-to-Tree Learning for Solving Math Word Problems. - Jipeng Zhang; Lei Wang 185; Roy Ka-Wei Lee; Yi Bin; Yan Wang 060; Jie Shao 001; Ee-Peng Lim (ACL, 2020)

DeepStyle: User Style Embedding for Authorship Attribution of Short Texts. - Zhiqiang Hu; Roy Ka-Wei Lee; Lei Wang 185; Ee-Peng Lim; Bo Dai 006 (APWeb/WAIM (2), 2020)

HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection. - Rui Cao 002; Roy Ka-Wei Lee (COLING, 2020)

Ocean: A Dual Learning Approach For Generalized Zero-Shot Sketch-Based Image Retrieval. - Jiawen Zhu; Xing Xu 001; Fumin Shen; Roy Ka-Wei Lee; Zheng Wang 044; Heng Tao Shen (ICME, 2020)

Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem. - Jipeng Zhang; Roy Ka-Wei Lee; Ee-Peng Lim; Wei Qin; Lei Wang 185; Jie Shao 001; Qianru Sun (IJCAI, 2020)

Retrofitting Embeddings for Unsupervised User Identity Linkage. - Tao Zhou; Ee-Peng Lim; Roy Ka-Wei Lee; Feida Zhu 001; Jiuxin Cao (PAKDD (1), 2020)

Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. - Roy Ka-Wei Lee; Thong Hoang; Richard Jayadi Oentaryo; David Lo 001 (UMAP, 2020)

DeepHate: Hate Speech Detection via Multi-Faceted Text Representations. - Rui Cao 002; Roy Ka-Wei Lee; Tuan-Anh Hoang (WebSci, 2020)

On Analyzing Annotation Consistency in Online Abusive Behavior Datasets. - Md. Rabiul Awal; Rui Cao 002; Roy Ka-Wei Lee; Sandra Mitrovic (CoRR, 2020)

On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic. - Md. Rabiul Awal; Rui Cao 002; Sandra Mitrovic; Roy Ka-Wei Lee (CoRR, 2020)

Text Style Transfer: A Review and Experiment Evaluation. - Zhiqiang Hu; Roy Ka-Wei Lee; Charu C. Aggarwal (CoRR, 2020)

On Orthogonality Constraints for Transformers. - Aston Zhang; Alvin Chan; Yi Tay; Jie Fu 001; Shuohang Wang; Shuai Zhang 007; Huajie Shao; Shuochao Yao; Roy Ka-Wei Lee (ACL/IJCNLP (2), 2021)

Hierarchical Expert Recommendation on Community Question Answering Platforms. - Amirabbas Jalali; Roy Ka-Wei Lee (Canadian AI, 2021)

Will you dance to the challenge?: predicting user participation of TikTok challenges. - Lynnette Hui Xian Ng; John Yeh Han Tan; Darryl Jing Heng Tan; Roy Ka-Wei Lee (ASONAM, 2021)

Improving Text Auto-Completion with Next Phrase Prediction. - Dong-Ho Lee; Zhiqiang Hu; Roy Ka-Wei Lee (EMNLP (Findings), 2021)

Early Prediction of Hate Speech Propagation. - Ken-Yu Lin; Roy Ka-Wei Lee; Wei Gao 001; Wen-Chih Peng (ICDM (Workshops), 2021)

Disentangling Hate in Online Memes. - Roy Ka-Wei Lee; Rui Cao 002; Ziqing Fan; Jing Jiang 001; Wen-Haw Chong (ACM Multimedia, 2021)

AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection. - Md. Rabiul Awal; Rui Cao 002; Roy Ka-Wei Lee; Sandra Mitrovic (PAKDD (1), 2021)

Syntax Matters! Syntax-Controlled in Text Style Transfer. - Zhiqiang Hu; Roy Ka-Wei Lee; Charu C. Aggarwal (RANLP, 2021)

AutoChart: A Dataset for Chart-to-Text Generation Task. - Jiawen Zhu; Jinye Ran; Roy Ka-Wei Lee; Zhi Li; Kenny T. W. Choo (RANLP, 2021)

A Syntax-Aware Encoder for Authorship Attribution. - Jianbo Liu; Zhiqiang Hu; Jiasheng Zhang; Roy Ka-Wei Lee; Jie Shao 001 (WISE (1), 2021)

Online Xenophobic Behavior Amid the COVID-19 Pandemic: A Commentary. - Roy Ka-Wei Lee; Zhi Li (Digit. Gov. Res. Pract., 2021)

Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks. - Roy Ka-Wei Lee; Tuan-Anh Hoang; Ee-Peng Lim (IEEE Trans. Knowl. Data Eng., 2021)

MUSCAT: Multilingual Rumor Detection in Social Media Conversations. - Md. Rabiul Awal; Minh Dang Nguyen; Roy Ka-Wei Lee; Kenny Tsu Wei Choo (IEEE Big Data, 2022)

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 004 (CSoNet, 2022)

Prompting for Multimodal Hateful Meme Classification. - Rui Cao 002; Roy Ka-Wei Lee; Wen-Haw Chong; Jing Jiang 001 (EMNLP, 2022)

Multimodal Zero-Shot Hateful Meme Detection. - Jiawen Zhu; Roy Ka-Wei Lee; Wen-Haw Chong (WebSci, 2022)

On Explaining Multimodal Hateful Meme Detection Models. - Ming Shan Hee; Roy Ka-Wei Lee; Wen-Haw Chong (WWW, 2022)

Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users? - Zhiqiang Hu; Roy Ka-Wei Lee; Nancy F. Chen (CoRR, 2022)

Segmentation for document layout analysis: not dead yet. - Logan Markewich; Hao Zhang 041; Yubin Xing; Navid Lambert-Shirzad; Zhexin Jiang; Roy Ka-Wei Lee; Zhi Li; Seok-Bum Ko (Int. J. Document Anal. Recognit., 2022)

Temporal-aware and multifaceted social contexts modeling for social recommendation. - Qing Meng; Bo Liu 004; Hengyuan Zhang; Xuheng Sun; Jiuxin Cao; Roy Ka-Wei Lee (Knowl. Based Syst., 2022)

Text Style Transfer: A Review and Experimental Evaluation. - Zhiqiang Hu; Roy Ka-Wei Lee; Charu C. Aggarwal; Aston Zhang (SIGKDD Explor., 2022)

Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore. - Janosch Haber; Bertie Vidgen; Matthew Chapman; Vibhor Agarwal; Roy Ka-Wei Lee; Yong Keong Yap; Paul Röttger (ACL (1), 2023)

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models. - Lei Wang 185; Wanyu Xu; Yihuai Lan; Zhiqiang Hu; Yunshi Lan; Roy Ka-Wei Lee; Ee-Peng Lim (ACL (1), 2023)

SBTREC - A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis. - Ngai Lam Ho; Roy Ka-Wei Lee; Kwan Hui Lim 001 (IEEE Big Data, 2023)

Interpretable Sock Puppet Attribution. - Chun-Wei Seah; Chia-Yu Hung; Yujia Hu; Hai Leong Chieu; Roy Ka-Wei Lee (IEEE Big Data, 2023)

MERMAID: A Dataset and Framework for Multimodal Meme Semantic Understanding. - Shaun Toh; Adriel Kuek; Wen-Haw Chong; Roy Ka-Wei Lee (IEEE Big Data, 2023)

Prompting Large Language Models for Topic Modeling. - Han Wang 053; Nirmalendu Prakash; Nguyen-Khoi Hoang; Ming Shan Hee; Usman Naseem; Roy Ka-Wei Lee (IEEE Big Data, 2023)

Layered Bias: Interpreting Bias in Pretrained Large Language Models. - Nirmalendu Prakash; Roy Ka-Wei Lee (BlackboxNLP@EMNLP, 2023)

Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts. - Deepanway Ghosal; Navonil Majumder; Roy Ka-Wei Lee; Rada Mihalcea; Soujanya Poria (EMNLP (Findings), 2023)

Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer. - Zhiqiang Hu; Nancy F. Chen; Roy Ka-Wei Lee (EMNLP (Findings), 2023)

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. - Zhiqiang Hu; Lei Wang 185; Yihuai Lan; Wanyu Xu; Ee-Peng Lim; Lidong Bing; Xing Xu 001; Soujanya Poria; Roy Ka-Wei Lee (EMNLP, 2023)

Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification. - Chia-Yu Hung; Zhiqiang Hu; Yujia Hu; Roy Ka-Wei Lee (EMNLP (Findings), 2023)

Decoding the Underlying Meaning of Multimodal Hateful Memes. - Ming Shan Hee; Wen-Haw Chong; Roy Ka-Wei Lee (IJCAI, 2023)

Evaluating GPT-3 Generated Explanations for Hateful Content Moderation. - Han Wang; Ming Shan Hee; Md. Rabiul Awal; Kenny Tsu Wei Choo; Roy Ka-Wei Lee (IJCAI, 2023)

LRS4DP: Location Recommendation System for Destination Prediction. - Bing Zhao 004; Haodong Sun; Wee Siong Ng; Roy Ka-Wei Lee; Yanyan Chen (MDM, 2023)

Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection. - Rui Cao 002; Ming Shan Hee; Adriel Kuek; Wen-Haw Chong; Roy Ka-Wei Lee; Jing Jiang 001 (ACM Multimedia, 2023)

MATK: The Meme Analytical Tool Kit. - Ming Shan Hee; Aditi Kumaresan; Nguyen-Khoi Hoang; Nirmalendu Prakash; Rui Cao 002; Roy Ka-Wei Lee (ACM Multimedia, 2023)

PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models. - Nirmalendu Prakash; Han Wang 053; Nguyen-Khoi Hoang; Ming Shan Hee; Roy Ka-Wei Lee (ACM Multimedia, 2023)

TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore. - Nirmalendu Prakash; Ming Shan Hee; Roy Ka-Wei Lee (MMSys, 2023)

BTRec: BERT-based Trajectory Recommendation for Personalized Tours. - Ngai Lam Ho; Roy Ka-Wei Lee; Kwan Hui Lim 001 (RecTour@RecSys, 2023)

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. - Zhiqiang Hu; Yihuai Lan; Lei Wang 185; Wanyu Xu; Ee-Peng Lim; Roy Ka-Wei Lee; Lidong Bing; Soujanya Poria (CoRR, 2023)

Feasibility, Opportunities, and Challenges of Utilizing AI for Collaborative Qualitative Analysis. - Jie Gao; Kenny Tsu Wei Choo; Junming Cao; Roy Ka-Wei Lee; Simon T. Perrault (CoRR, 2023)

ChatGPT and Bard Responses to Polarizing Questions - Abhay Goyal; Muhammad Siddique; Nimay Parekh; Zach Schwitzky; Clara Broekaert; Connor Michelotti; Allie Wong; Lam Yin Cheung; Robin O'Hanlon; Munmun De Choudhury; Roy Ka-Wei Lee; Navin Kumar 004 (CoRR, 2023)

Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care. - Adam Valen Levinson; Abhay Goyal; Roger Ho Chun Man; Roy Ka-Wei Lee; Koustuv Saha; Nimay Parekh; Frederick L. Altice; Lam Yin Cheung; Munmun De Choudhury; Navin Kumar 004 (CoRR, 2023)

PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models. - Nirmalendu Prakash; Han Wang; Nguyen-Khoi Hoang; Ming Shan Hee; Roy Ka-Wei Lee (CoRR, 2023)

Predicting hate intensity of twitter conversation threads. - Qing Meng; Tharun Suresh; Roy Ka-Wei Lee; Tanmoy Chakraborty 002 (Knowl. Based Syst., 2023)

TikTok's Project Texas - Social Media Data Governance Across Geopolitical Lines. - Roy Ka-Wei Lee; Lynnette Hui Xian Ng (Digit. Gov. Res. Pract., 2023)

DReD-A Descriptive Relation Dataset for Expanding Relation Extraction. - Logan Markewich; Yubin Xing; Roy Ka-Wei Lee; Zhi Li; Seok-Bum Ko (IEEE Trans. Artif. Intell., 2023)

Attention-Fused Deep Relevancy Matching Network for Clickbait Detection. - Qing Meng; Bo Liu 004; Xiangguo Sun; Hui Yan; Chengyu Liang; Jiuxin Cao; Roy Ka-Wei Lee; Xing Bao (IEEE Trans. Comput. Soc. Syst., 2023)

Hate Speech Classification in Text-Embedded Images: Integrating Ontology, Contextual Semantics, and Vision-Language Representations. - Surendrabikram Thapa; Surabhi Adhikari; Imran Razzak; Roy Ka-Wei Lee; Usman Naseem (ASONAM (2), 2024)

Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning. - Ming Shan Hee; Aditi Kumaresan; Roy Ka-Wei Lee (EMNLP, 2024)

Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models. - Ming Shan Hee; Shivam Sharma; Rui Cao 002; Palash Nandi; Preslav Nakov; Tanmoy Chakraborty 002; Roy Ka-Wei Lee (EMNLP (Findings), 2024)

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. - Wenhao Shi; Zhiqiang Hu; Yi Bin; Junhua Liu; Yang Yang 002; See-Kiong Ng; Lidong Bing; Roy Ka-Wei Lee (EMNLP (Findings), 2024)

ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations. - Yunze Xiao; Yujia Hu; Kenny T. W. Choo; Roy Ka-Wei Lee (EMNLP, 2024)

InfoTrace: A System for Information Campaign Source Tracing and Analysis on Social Media. - Linus Xin Wei Cheng; Wai Kit Daniel Chin; Shaun Toh; Wenchuan Mu; James Kay Liang Ong; Kenny Tsu Wei Choo; Roy Ka-Wei Lee; Kwan Hui Lim 001 (JCDL, 2024)

MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili. - Han Wang 053; Tan Rui Yang; Usman Naseem; Roy Ka-Wei Lee (ACM Multimedia, 2024)

Using Voice Data to Facilitate Depression Risk Assessment in Primary Health Care. - Abhay Goyal; Roger Ho Chun Man; Roy Ka-Wei Lee; Koustuv Saha; Frederick L. Altice; Christian Poellabauer; Orestis Papakyriakopoulos; Lam Yin Cheung; Munmun De Choudhury; Kanica Allagh; Navin Kumar 004 (WebSci (Companion), 2024)

Modularized Networks for Few-shot Hateful Meme Detection. - Rui Cao 002; Roy Ka-Wei Lee; Jing Jiang 001 (WWW, 2024)

Understanding (Dark) Humour with Internet Meme Analysis. - Ming Shan Hee; Rui Cao 002; Tanmoy Chakraborty 002; Roy Ka-Wei Lee (WWW (Companion Volume), 2024)

Brinjal: A Web-Plugin for Collaborative Hate Speech Detection. - Ming Shan Hee; Karandeep Singh; Charlotte Ng Si Min; Kenny Tsu Wei Choo; Roy Ka-Wei Lee (WWW (Companion Volume), 2024)

Contrastive Disentanglement for Authorship Attribution. - Zhiqiang Hu; Thao Thanh Nguyen; Yujia Hu; Chia-Yu Hung; Ming Shan Hee; Chun-Wei Seah; Roy Ka-Wei Lee (WWW (Companion Volume), 2024)

Love-Hate Dataset: A Multi-Modal Multi-Platform Dataset Depicting Emotions in the 2023 Israel-Hamas War. - Lynnette Hui Xian Ng; Adrian Xuan Wei Lim; Roy Ka-Wei Lee (WWW (Companion Volume), 2024)

Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024). - Surendrabikram Thapa; Usman Naseem; Roy Ka-Wei Lee; Mehwish Nasim (WWW (Companion Volume), 2024)

MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation. - Han Wang 053; Roy Ka-Wei Lee (WWW, 2024)

Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models. - Ming Shan Hee; Shivam Sharma; Rui Cao 002; Palash Nandi; Preslav Nakov; Tanmoy Chakraborty 002; Roy Ka-Wei Lee (CoRR, 2024)

All in a Single Image: Large Multimodal Models are In-Image Learners. - Lei Wang 185; Wanyu Xu; Zhiqiang Hu; Yihuai Lan; Shan Dong; Hao Wang 094; Roy Ka-Wei Lee; Ee-Peng Lim (CoRR, 2024)

MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation. - Han Wang; Roy Ka-Wei Lee (CoRR, 2024)

SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore. - Ri Chi Ng; Nirmalendu Prakash; Ming Shan Hee; Kenny Tsu Wei Choo; Roy Ka-Wei Lee (CoRR, 2024)

Interpreting Bias in Large Language Models: A Feature-Based Approach. - Nirmalendu Prakash; Roy Ka-Wei Lee (CoRR, 2024)

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification. - Yujia Hu; Zhiqiang Hu; Chun-Wei Seah; Roy Ka-Wei Lee (CoRR, 2024)

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification. - Lynnette Hui Xian Ng; Iain Cruickshank; Roy Ka-Wei Lee (CoRR, 2024)

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs. - Yuhao Wu; Ming Shan Hee; Zhiqing Hu; Roy Ka-Wei Lee (CoRR, 2024)

Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks. - Junhua Liu; Kwan Hui Lim 001; Roy Ka-Wei Lee (CoRR, 2024)

Fairness And Performance In Harmony: Data Debiasing Is All You Need. - Junhua Liu; Wendy Wan Yee Hui; Roy Ka-Wei Lee; Kwan Hui Lim 001 (CoRR, 2024)

Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection. - Md. Rabiul Awal; Roy Ka-Wei Lee; Eshaan Tanwar; Tanmay Garg; Tanmoy Chakraborty 002 (IEEE Trans. Comput. Soc. Syst., 2024)

CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysis. - Jie Gao; Kenny Tsu Wei Choo; Junming Cao; Roy Ka-Wei Lee; Simon T. Perrault (ACM Trans. Comput. Hum. Interact., 2024)

Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks. - Bo Liu 004; Xiangguo Sun; Qing Meng; Xinyan Yang; Yang Lee; Jiuxin Cao; Junzhou Luo; Roy Ka-Wei Lee (IEEE Trans. Neural Networks Learn. Syst., 2024)

RumorGraphXplainer: Do Structures Really Matter in Rumor Detection. - Wai Kit Daniel Chin; Kwan Hui Lim 001; Roy Ka-Wei Lee (IEEE Trans. Comput. Soc. Syst., 2024)

Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement. - Junyu Lu; Kai Ma; Kaichun Wang; Kelaiti Xiao; Roy Ka-Wei Lee; Bo Xu 009; Liang Yang 003; Hongfei Lin (ACL (Findings), 2025)

Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization. - Yao Xiao; Hai Ye; Linyao Chen; Hwee Tou Ng; Lidong Bing; Xiaoli Li; Roy Ka-Wei Lee (ACL (1), 2025)

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs. - Yuhao Wu; Ming Shan Hee; Zhiqiang Hu; Roy Ka-Wei Lee (ICLR, 2025)

Contrastive Instruction Fine-Tuning Large Multimodal Model for Hateful Meme Classification. - Ming Shan Hee; Zihan Gao; Yinglong Wang; Xiangxiang Chu; Roy Ka-Wei Lee; Zengchang Qin (ICWSM, 2025)

Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions. - Ming Shan Hee; Roy Ka-Wei Lee (ICWSM, 2025)

Unmasking Implicit Bias: Evaluating Persona-Prompted LLM Responses in Power-Disparate Social Scenarios. - Bryan Chen Zhengyu Tan; Roy Ka-Wei Lee (NAACL (Long Papers), 2025)

User Archetypes and Information Dynamics on Telegram: COVID-19 and Climate Change Discourse in Singapore. - Val Alvern Cueco Ligo; Lam Yin Cheung; Roy Ka-Wei Lee; Koustuv Saha; Edson C. Tandoc Jr.; Navin Kumar 004 (WWW (Companion Volume), 2025)

Third International Workshop on Multimodal Content Analysis for Social Good. - Usman Naseem; Surendrabikram Thapa; Roy Ka-Wei Lee; Mehwish Nasim (WWW (Companion Volume), 2025)

Cross Platform MultiModal Retrieval Augmented Distillation for Code-Switched Content Understanding. - Surendrabikram Thapa; Hariram Veeramani; Imran Razzak; Roy Ka-Wei Lee; Usman Naseem (WWW (Companion Volume), 2025)

Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video Detection. - Han Wang 053; Rui Yang Tan; Roy Ka-Wei Lee (WWW, 2025)

Contrastive Token-level Explanations for Graph-based Rumour Detection. - Wai Kit Daniel Chin; Roy Ka-Wei Lee (CoRR, 2025)

Unveiling the Capabilities of Large Language Models in Detecting Offensive Language with Annotation Disagreement. - Junyu Lu; Kai Ma; Kaichun Wang; Kelaiti Xiao; Roy Ka-Wei Lee; Bo Xu 009; Liang Yang 003; Hongfei Lin (CoRR, 2025)

Shifting Long-Context LLMs Research from Input to Output. - Yuhao Wu; Yushi Bai; Zhiqing Hu; Shangqing Tu; Ming Shan Hee; Juanzi Li; Roy Ka-Wei Lee (CoRR, 2025)

Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs. - Ziyu Ge; Yuhao Wu; Daniel Wai Kit Chin; Roy Ka-Wei Lee; Rui Cao (CoRR, 2025)

Understanding Refusal in Language Models with Sparse Autoencoders. - Wei Jie Yeo; Nirmalendu Prakash; Clement Neo; Roy Ka-Wei Lee; Erik Cambria; Ranjan Satapathy (CoRR, 2025)

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models. - Yuhao Wu; Yushi Bai; Zhiqiang Hu; Juanzi Li; Roy Ka-Wei Lee (CoRR, 2025)

Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation. - 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 (CoRR, 2025)

"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions. - Kellie Yu Hui Sim; Roy Ka-Wei Lee; Kenny Tsu Wei Choo (CoRR, 2025)

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning. - Yuhao Wu; Yushi Bai; Zhiqiang Hu; Roy Ka-Wei Lee; Juanzi Li (CoRR, 2025)

RabakBench: Scaling Human Annotations to Construct Localized Multilingual Safety Benchmarks for Low-Resource Languages. - Gabriel Chua; Leanne Tan; Ziyu Ge; Roy Ka-Wei Lee (CoRR, 2025)

LLMATCH: A Unified Schema Matching Framework with Large Language Models. - Sha Wang; Yuchen Li 001; Hanhua Xiao; Bing Tian Dai; Roy Ka-Wei Lee; Yanfei Dong; Lambert Deng (CoRR, 2025)

Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation. - Ziyu Ge; Gabriel Chua; Leanne Tan; Roy Ka-Wei Lee (CoRR, 2025)

CCL-XCoT: An Efficient Cross-Lingual Knowledge Transfer Method for Mitigating Hallucination Generation. - Weihua Zheng; Roy Ka-Wei Lee; Zhengyuan Liu; Kui Wu; AiTi Aw; Bowei Zou (CoRR, 2025)

LionGuard 2: Building Lightweight, Data-Efficient & Localised Multilingual Content Moderators. - Leanne Tan; Gabriel Chua; Ziyu Ge; Roy Ka-Wei Lee (CoRR, 2025)

BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles. - Junhua Liu; Roy Ka-Wei Lee; Kwan Hui Lim 001 (CoRR, 2025)

HateClipSeg: A Segment-Level Annotated Dataset for Fine-Grained Hate Video Detection. - Han Wang; Zhuoran Wang; Roy Ka-Wei Lee (CoRR, 2025)