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2020 – today
- 2024
[j13]Md. Rabiul Awal, Roy Ka-Wei Lee
, Eshaan Tanwar, Tanmay Garg, Tanmoy Chakraborty:
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection. IEEE Trans. Comput. Soc. Syst. 11(1): 1086-1095 (2024)- [j12]Wai Kit Daniel Chin, Kwan Hui Lim, Roy Ka-Wei Lee:
RumorGraphXplainer: Do Structures Really Matter in Rumor Detection. IEEE Trans. Comput. Soc. Syst. 11(5): 6038-6055 (2024) - [j11]Bo Liu, Xiangguo Sun, Qing Meng, Xinyan Yang, Yang Lee, Jiuxin Cao, Junzhou Luo, Roy Ka-Wei Lee:
Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4887-4898 (2024) - [j10]Jie Gao, Kenny Tsu Wei Choo, Junming Cao, Roy Ka-Wei Lee, Simon T. Perrault:
CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysis. ACM Trans. Comput. Hum. Interact. 31(1): 6:1-6:38 (2024) - [c66]Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models. EMNLP (Findings) 2024: 4407-4419 - [c65]Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee:
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. EMNLP (Findings) 2024: 4663-4680 - [c64]Yunze Xiao, Yujia Hu, Kenny T. W. Choo, Roy Ka-Wei Lee:
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations. EMNLP 2024: 6012-6025 - [c63]Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee:
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning. EMNLP 2024: 7785-7799 - [c62]Han Wang, Tan Rui Yang, Usman Naseem, Roy Ka-Wei Lee:
MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili. ACM Multimedia 2024: 7493-7502 - [c61]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:
Using Voice Data to Facilitate Depression Risk Assessment in Primary Health Care. WebSci (Companion) 2024: 17-18 - [c60]Ming Shan Hee, Karandeep Singh, Charlotte Ng Si Min, Kenny Tsu Wei Choo, Roy Ka-Wei Lee:
Brinjal: A Web-Plugin for Collaborative Hate Speech Detection. WWW (Companion Volume) 2024: 1063-1066 - [c59]Ming Shan Hee, Rui Cao, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Understanding (Dark) Humour with Internet Meme Analysis. WWW (Companion Volume) 2024: 1276-1279 - [c58]Zhiqiang Hu, Thao Thanh Nguyen, Yujia Hu, Chia-Yu Hung, Ming Shan Hee, Chun-Wei Seah, Roy Ka-Wei Lee:
Contrastive Disentanglement for Authorship Attribution. WWW (Companion Volume) 2024: 1657-1666 - [c57]Surendrabikram Thapa, Usman Naseem, Roy Ka-Wei Lee, Mehwish Nasim:
Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024). WWW (Companion Volume) 2024: 1803-1804 - [c56]Lynnette Hui Xian Ng, Adrian Xuan Wei Lim, Roy Ka-Wei Lee:
Love-Hate Dataset: A Multi-Modal Multi-Platform Dataset Depicting Emotions in the 2023 Israel-Hamas War. WWW (Companion Volume) 2024: 1807-1815 - [c55]Rui Cao, Roy Ka-Wei Lee, Jing Jiang:
Modularized Networks for Few-shot Hateful Meme Detection. WWW 2024: 4575-4584 - [c54]Han Wang, Roy Ka-Wei Lee:
MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation. WWW 2024: 4642-4652 - [e2]Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, Roy Ka-Wei Lee:
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024. ACM 2024 [contents] - [e1]Tat-Seng Chua, Chong-Wah Ngo, Roy Ka-Wei Lee, Ravi Kumar, Hady W. Lauw:
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024. ACM 2024 [contents] - [i56]Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models. CoRR abs/2401.16727 (2024) - [i55]Rui Cao, Roy Ka-Wei Lee, Jing Jiang:
Modularized Networks for Few-shot Hateful Meme Detection. CoRR abs/2402.11845 (2024) - [i54]Lei Wang, Wanyu Xu, Zhiqiang Hu, Yihuai Lan, Shan Dong, Hao Wang, Roy Ka-Wei Lee, Ee-Peng Lim:
All in a Single Image: Large Multimodal Models are In-Image Learners. CoRR abs/2402.17971 (2024) - [i53]Han Wang, Roy Ka-Wei Lee:
MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation. CoRR abs/2403.14652 (2024) - [i52]Ri Chi Ng, Nirmalendu Prakash, Ming Shan Hee, Kenny Tsu Wei Choo, Roy Ka-Wei Lee:
SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore. CoRR abs/2405.01842 (2024) - [i51]Yunze Xiao, Yujia Hu, Kenny Tsu Wei Choo, Roy Ka-Wei Lee:
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations. CoRR abs/2406.12223 (2024) - [i50]Nirmalendu Prakash, Roy Ka-Wei Lee:
Interpreting Bias in Large Language Models: A Feature-Based Approach. CoRR abs/2406.12347 (2024) - [i49]Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee:
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. CoRR abs/2406.17294 (2024) - [i48]Yujia Hu, Zhiqiang Hu, Chun-Wei Seah, Roy Ka-Wei Lee:
InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification. CoRR abs/2407.12882 (2024) - [i47]Lynnette Hui Xian Ng, Iain Cruickshank, Roy Ka-Wei Lee:
Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification. CoRR abs/2407.17688 (2024) - [i46]Han Wang, Tan Rui Yang, Usman Naseem, Roy Ka-Wei Lee:
MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili. CoRR abs/2408.03468 (2024) - [i45]Yuhao Wu, Ming Shan Hee, Zhiqing Hu, Roy Ka-Wei Lee:
LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs. CoRR abs/2409.02076 (2024) - [i44]Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee:
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning. CoRR abs/2410.05600 (2024) - [i43]Junhua Liu, Kwan Hui Lim, Roy Ka-Wei Lee:
Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks. CoRR abs/2411.08504 (2024) - [i42]Junhua Liu, Wendy Wan Yee Hui, Roy Ka-Wei Lee, Kwan Hui Lim:
Fairness And Performance In Harmony: Data Debiasing Is All You Need. CoRR abs/2411.17374 (2024) - 2023
- [j9]Roy Ka-Wei Lee, Lynnette Hui Xian Ng:
TikTok's Project Texas - Social Media Data Governance Across Geopolitical Lines. Digit. Gov. Res. Pract. 4(4): 27:1-27:5 (2023) - [j8]Qing Meng, Tharun Suresh, Roy Ka-Wei Lee, Tanmoy Chakraborty:
Predicting hate intensity of twitter conversation threads. Knowl. Based Syst. 275: 110644 (2023) - [j7]Logan Markewich, Yubin Xing, Roy Ka-Wei Lee, Zhi Li, Seok-Bum Ko:
DReD-A Descriptive Relation Dataset for Expanding Relation Extraction. IEEE Trans. Artif. Intell. 4(6): 1494-1503 (2023) - [j6]Qing Meng, Bo Liu, Xiangguo Sun, Hui Yan, Chengyu Liang, Jiuxin Cao, Roy Ka-Wei Lee, Xing Bao:
Attention-Fused Deep Relevancy Matching Network for Clickbait Detection. IEEE Trans. Comput. Soc. Syst. 10(6): 3120-3131 (2023) - [c53]Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, Ee-Peng Lim:
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models. ACL (1) 2023: 2609-2634 - [c52]Janosch Haber, Bertie Vidgen, Matthew Chapman, Vibhor Agarwal, Roy Ka-Wei Lee, Yong Keong Yap, Paul Röttger:
Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore. ACL (1) 2023: 12705-12721 - [c51]Shaun Toh, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee:
MERMAID: A Dataset and Framework for Multimodal Meme Semantic Understanding. IEEE Big Data 2023: 433-442 - [c50]Chun-Wei Seah, Chia-Yu Hung, Yujia Hu, Hai Leong Chieu, Roy Ka-Wei Lee:
Interpretable Sock Puppet Attribution. IEEE Big Data 2023: 847-856 - [c49]Han Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee:
Prompting Large Language Models for Topic Modeling. IEEE Big Data 2023: 1236-1241 - [c48]Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim:
SBTREC - A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis. IEEE Big Data 2023: 5790-5798 - [c47]Nirmalendu Prakash, Roy Ka-Wei Lee:
Layered Bias: Interpreting Bias in Pretrained Large Language Models. BlackboxNLP@EMNLP 2023: 284-295 - [c46]Zhiqiang Hu, Nancy F. Chen, Roy Ka-Wei Lee:
Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer. EMNLP (Findings) 2023: 693-703 - [c45]Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee:
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. EMNLP 2023: 5254-5276 - [c44]Deepanway Ghosal, Navonil Majumder, Roy Ka-Wei Lee, Rada Mihalcea, Soujanya Poria:
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts. EMNLP (Findings) 2023: 12096-12102 - [c43]Chia-Yu Hung, Zhiqiang Hu, Yujia Hu, Roy Ka-Wei Lee:
Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification. EMNLP (Findings) 2023: 14078-14084 - [c42]Ming Shan Hee, Wen-Haw Chong, Roy Ka-Wei Lee:
Decoding the Underlying Meaning of Multimodal Hateful Memes. IJCAI 2023: 5995-6003 - [c41]Han Wang, Ming Shan Hee, Md. Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee:
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation. IJCAI 2023: 6255-6263 - [c40]Bing Zhao, Haodong Sun, Wee Siong Ng, Roy Ka-Wei Lee, Yanyan Chen:
LRS4DP: Location Recommendation System for Destination Prediction. MDM 2023: 11-20 - [c39]Nirmalendu Prakash, Han Wang, Nguyen-Khoi Hoang, Ming Shan Hee, Roy Ka-Wei Lee:
PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models. ACM Multimedia 2023: 621-631 - [c38]Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, Jing Jiang:
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection. ACM Multimedia 2023: 5244-5252 - [c37]Ming Shan Hee, Aditi Kumaresan, Nguyen-Khoi Hoang, Nirmalendu Prakash, Rui Cao, Roy Ka-Wei Lee:
MATK: The Meme Analytical Tool Kit. ACM Multimedia 2023: 9689-9692 - [c36]Nirmalendu Prakash, Ming Shan Hee, Roy Ka-Wei Lee:
TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore. MMSys 2023: 369-375 - [c35]Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim:
BTRec: BERT-based Trajectory Recommendation for Personalized Tours. RecTour@RecSys 2023: 29-38 - [i41]Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang:
Prompting for Multimodal Hateful Meme Classification. CoRR abs/2302.04156 (2023) - [i40]Md. Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar, Tanmay Garg, Tanmoy Chakraborty:
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection. CoRR abs/2303.02513 (2023) - [i39]Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, Soujanya Poria:
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. CoRR abs/2304.01933 (2023) - [i38]Jie Gao, Kenny Tsu Wei Choo, Junming Cao, Roy Ka-Wei Lee, Simon T. Perrault:
Feasibility, Opportunities, and Challenges of Utilizing AI for Collaborative Qualitative Analysis. CoRR abs/2304.05560 (2023) - [i37]Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, Ee-Peng Lim:
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models. CoRR abs/2305.04091 (2023) - [i36]Zhiqiang Hu, Roy Ka-Wei Lee, Nancy F. Chen:
Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer. CoRR abs/2305.05945 (2023) - [i35]Ming Shan Hee, Wen-Haw Chong, Roy Ka-Wei Lee:
Decoding the Underlying Meaning of Multimodal Hateful Memes. CoRR abs/2305.17678 (2023) - [i34]Han Wang, Ming Shan Hee, Md. Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee:
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation. CoRR abs/2305.17680 (2023) - [i33]Nirmalendu Prakash, Ming Shan Hee, Roy Ka-Wei Lee:
TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore. CoRR abs/2305.17911 (2023) - [i32]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:
ChatGPT and Bard Responses to Polarizing Questions. CoRR abs/2307.12402 (2023) - [i31]Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, Jing Jiang:
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection. CoRR abs/2308.08088 (2023) - [i30]Chia-Yu Hung, Zhiqiang Hu, Yujia Hu, Roy Ka-Wei Lee:
Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification. CoRR abs/2310.08123 (2023) - [i29]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:
Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care. CoRR abs/2310.10928 (2023) - [i28]Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim:
BTRec: BERT-Based Trajectory Recommendation for Personalized Tours. CoRR abs/2310.19886 (2023) - [i27]Deepanway Ghosal, Navonil Majumder, Roy Ka-Wei Lee, Rada Mihalcea, Soujanya Poria:
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts. CoRR abs/2310.20159 (2023) - [i26]Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim:
SBTRec- A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis. CoRR abs/2311.11071 (2023) - [i25]Nirmalendu Prakash, Han Wang, Nguyen-Khoi Hoang, Ming Shan Hee, Roy Ka-Wei Lee:
PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models. CoRR abs/2312.06093 (2023) - [i24]Ming Shan Hee, Aditi Kumaresan, Nguyen-Khoi Hoang, Nirmalendu Prakash, Rui Cao, Roy Ka-Wei Lee:
MATK: The Meme Analytical Tool Kit. CoRR abs/2312.06094 (2023) - [i23]Han Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee:
Prompting Large Language Models for Topic Modeling. CoRR abs/2312.09693 (2023) - 2022
- [j5]Logan Markewich, Hao Zhang, Yubin Xing, Navid Lambert-Shirzad, Zhexin Jiang, Roy Ka-Wei Lee, Zhi Li, Seok-Bum Ko:
Segmentation for document layout analysis: not dead yet. Int. J. Document Anal. Recognit. 25(2): 67-77 (2022) - [j4]Qing Meng, Bo Liu, Hengyuan Zhang, Xuheng Sun, Jiuxin Cao, Roy Ka-Wei Lee:
Temporal-aware and multifaceted social contexts modeling for social recommendation. Knowl. Based Syst. 248: 108923 (2022) - [j3]Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang:
Text Style Transfer: A Review and Experimental Evaluation. SIGKDD Explor. 24(1): 14-45 (2022) - [c34]Md. Rabiul Awal, Minh Dang Nguyen, Roy Ka-Wei Lee, Kenny Tsu Wei Choo:
MUSCAT: Multilingual Rumor Detection in Social Media Conversations. IEEE Big Data 2022: 455-464 - [c33]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:
Categorizing Memes About the Ukraine Conflict. CSoNet 2022: 27-38 - [c32]Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang:
Prompting for Multimodal Hateful Meme Classification. EMNLP 2022: 321-332 - [c31]Jiawen Zhu, Roy Ka-Wei Lee, Wen-Haw Chong:
Multimodal Zero-Shot Hateful Meme Detection. WebSci 2022: 382-389 - [c30]Ming Shan Hee, Roy Ka-Wei Lee, Wen-Haw Chong:
On Explaining Multimodal Hateful Meme Detection Models. WWW 2022: 3651-3655 - [i22]Ming Shan Hee, Roy Ka-Wei Lee, Wen-Haw Chong:
On Explaining Multimodal Hateful Meme Detection Models. CoRR abs/2204.01734 (2022) - [i21]Qing Meng, Tharun Suresh, Roy Ka-Wei Lee, Tanmoy Chakraborty:
Predicting Hate Intensity of Twitter Conversation Threads. CoRR abs/2206.08406 (2022) - [i20]Zhiqiang Hu, Roy Ka-Wei Lee, Nancy F. Chen:
Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users? CoRR abs/2210.12942 (2022) - 2021
- [j2]Roy Ka-Wei Lee, Zhi Li:
Online Xenophobic Behavior Amid the COVID-19 Pandemic: A Commentary. Digit. Gov. Res. Pract. 2(1): 2:1-2:5 (2021) - [j1]Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim:
Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks. IEEE Trans. Knowl. Data Eng. 33(1): 70-84 (2021) - [c29]Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee:
On Orthogonality Constraints for Transformers. ACL/IJCNLP (2) 2021: 375-382 - [c28]Amirabbas Jalali, Roy Ka-Wei Lee:
Hierarchical Expert Recommendation on Community Question Answering Platforms. Canadian AI 2021 - [c27]Lynnette Hui Xian Ng, John Yeh Han Tan, Darryl Jing Heng Tan, Roy Ka-Wei Lee:
Will you dance to the challenge?: predicting user participation of TikTok challenges. ASONAM 2021: 356-360 - [c26]Dong-Ho Lee, Zhiqiang Hu, Roy Ka-Wei Lee:
Improving Text Auto-Completion with Next Phrase Prediction. EMNLP (Findings) 2021: 4434-4438 - [c25]Ken-Yu Lin, Roy Ka-Wei Lee, Wei Gao, Wen-Chih Peng:
Early Prediction of Hate Speech Propagation. ICDM (Workshops) 2021: 967-974 - [c24]Roy Ka-Wei Lee, Rui Cao, Ziqing Fan, Jing Jiang, Wen-Haw Chong:
Disentangling Hate in Online Memes. ACM Multimedia 2021: 5138-5147 - [c23]Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic:
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection. PAKDD (1) 2021: 701-713 - [c22]Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal:
Syntax Matters! Syntax-Controlled in Text Style Transfer. RANLP 2021: 566-575 - [c21]Jiawen Zhu, Jinye Ran, Roy Ka-Wei Lee, Zhi Li, Kenny T. W. Choo:
AutoChart: A Dataset for Chart-to-Text Generation Task. RANLP 2021: 1636-1644 - [c20]Jianbo Liu, Zhiqiang Hu, Jiasheng Zhang, Roy Ka-Wei Lee, Jie Shao:
A Syntax-Aware Encoder for Authorship Attribution. WISE (1) 2021: 403-411 - [i19]Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai:
DeepStyle: User Style Embedding for Authorship Attribution of Short Texts. CoRR abs/2103.11798 (2021) - [i18]Rui Cao, Roy Ka-Wei Lee, Tuan-Anh Hoang:
DeepHate: Hate Speech Detection via Multi-Faceted Text Representations. CoRR abs/2103.11799 (2021) - [i17]Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic:
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection. CoRR abs/2103.11800 (2021) - [i16]Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal:
Syntax Matters! Syntax-Controlled in Text Style Transfer. CoRR abs/2108.05869 (2021) - [i15]Rui Cao, Ziqing Fan, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang:
Disentangling Hate in Online Memes. CoRR abs/2108.06207 (2021) - [i14]Jiawen Zhu, Jinye Ran, Roy Ka-Wei Lee, Kenny T. W. Choo, Zhi Li:
AutoChart: A Dataset for Chart-to-Text Generation Task. CoRR abs/2108.06897 (2021) - [i13]Dong-Ho Lee, Zhiqiang Hu, Roy Ka-Wei Lee:
Improving Text Auto-Completion with Next Phrase Prediction. CoRR abs/2109.07067 (2021) - [i12]Lynnette Hui Xian Ng, John Yeh Han Tan, Darryl Jing Heng Tan, Roy Ka-Wei Lee:
Will You Dance To The Challenge? Predicting User Participation of TikTok Challenges. CoRR abs/2112.13384 (2021) - 2020
- [c19]Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, Ee-Peng Lim:
Graph-to-Tree Learning for Solving Math Word Problems. ACL 2020: 3928-3937 - [c18]Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai:
DeepStyle: User Style Embedding for Authorship Attribution of Short Texts. APWeb/WAIM (2) 2020: 221-229 - [c17]Rui Cao, Roy Ka-Wei Lee:
HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection. COLING 2020: 6327-6338 - [c16]Jiawen Zhu, Xing Xu, Fumin Shen, Roy Ka-Wei Lee, Zheng Wang, Heng Tao Shen:
Ocean: A Dual Learning Approach For Generalized Zero-Shot Sketch-Based Image Retrieval. ICME 2020: 1-6 - [c15]Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun:
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem. IJCAI 2020: 4011-4017 - [c14]Tao Zhou, Ee-Peng Lim, Roy Ka-Wei Lee, Feida Zhu, Jiuxin Cao:
Retrofitting Embeddings for Unsupervised User Identity Linkage. PAKDD (1) 2020: 385-397 - [c13]Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo:
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. UMAP 2020: 308-312 - [c12]Rui Cao, Roy Ka-Wei Lee, Tuan-Anh Hoang:
DeepHate: Hate Speech Detection via Multi-Faceted Text Representations. WebSci 2020: 11-20 - [i11]Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo:
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. CoRR abs/2005.04833 (2020) - [i10]Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic:
On Analyzing Annotation Consistency in Online Abusive Behavior Datasets. CoRR abs/2006.13507 (2020) - [i9]Md. Rabiul Awal, Rui Cao, Sandra Mitrovic, Roy Ka-Wei Lee:
On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic. CoRR abs/2007.10712 (2020) - [i8]Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal:
Text Style Transfer: A Review and Experiment Evaluation. CoRR abs/2010.12742 (2020)
2010 – 2019
- 2019
- [c11]Do Yeon Kim, Xiaohang Li, Sheng Wang, Yunying Zhuo, Roy Ka-Wei Lee:
Topic enhanced word embedding for toxic content detection in Q&A sites. ASONAM 2019: 1064-1071 - [c10]Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
AD-Link: An Adaptive Approach for User Identity Linkage. ICBK 2019: 183-190 - [i7]Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
Unsupervised User Identity Linkage via Factoid Embedding. CoRR abs/1901.06648 (2019) - [i6]Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim:
Linky: Visualizing User Identity Linkage Results For Multiple Online Social Networks. CoRR abs/1902.08737 (2019) - 2018
- [c9]Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
Unsupervised User Identity Linkage via Factoid Embedding. ICDM 2018: 1338-1343 - [c8]Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim:
Linky: Visualizing User Identity Linkage Results for Multiple Online Social Networks. ICDM Workshops 2018: 1453-1458 - [c7]Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim:
Discovering Hidden Topical Hubs and Authorities in Online Social Networks. SDM 2018: 378-386 - [c6]Roy Ka-Wei Lee, David Lo:
Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites. WebSci 2018: 77-86 - [i5]Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim:
Discovering Hidden Topical Hubs and Authorities in Online Social Networks. CoRR abs/1802.07022 (2018) - [i4]Roy Ka-Wei Lee, David Lo:
Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites. CoRR abs/1805.03348 (2018) - 2017
- [c5]Roy Ka-Wei Lee, David Lo:
GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms. SocInfo (2) 2017: 245-256 - [c4]Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim:
On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites. WWW 2017: 1351-1359 - [i3]Roy Ka-Wei Lee, Ee-Peng Lim:
Friendship Maintenance and Prediction in Multiple Social Networks. CoRR abs/1703.00857 (2017) - [i2]Roy Ka-Wei Lee, David Lo:
GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms. CoRR abs/1708.06860 (2017) - 2016
- [c3]Roy Ka-Wei Lee, Ee-Peng Lim:
Friendship Maintenance and Prediction in Multiple Social Networks. HT 2016: 83-92 - 2015
- [c2]Roy Ka-Wei Lee, Ee-Peng Lim:
Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion. ECIR 2015: 411-422 - [p1]Yew-Yih Cheng, Roy Ka-Wei Lee, Ee-Peng Lim, Feida Zhu:
Measuring Centralities for Transportation Networks Beyond Structures. Applications of Social Media and Social Network Analysis 2015: 23-39 - [i1]Roy Ka-Wei Lee, Yingjiu Li:
SignEPC : A Digital Signature Scheme for Efficient and Scalable Access Control in EPCglobal Network. CoRR abs/1509.05582 (2015) - 2013
- [c1]Yew-Yih Cheng, Roy Ka-Wei Lee, Ee-Peng Lim, Feida Zhu:
DelayFlow centrality for identifying critical nodes in transportation networks. ASONAM 2013: 1462-1463
Coauthor Index
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