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.

• 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.

• 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. 

• 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

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

• 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.

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.

• 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, 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.

• 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.