| 2026 | ACL | Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization. | Linfeng Du, Ye Yuan, Zichen Zhao, Fuyuan Lyu, Emiliano Penaloza, Xiuying Chen, Zipeng Sun, Jikun Kang, Laurent Charlin, Xue Liu, Haolun Wu |
| 2026 | ACL | LLM Safety From Within: Detecting Harmful Content with Internal Representations. | Difan Jiao, Yilun Liu, Ye Yuan, Zhenwei Tang, Linfeng Du, Haolun Wu, Ashton Anderson |
| 2026 | ACL | GlossaGen: Making Academic Translation Smarter with Glossing. | Zixiao Wang, Duzhen Zhang, Juntian Zhang, Yuhan Liu, Guoming Li, Haolun Wu, Le Song, Xiuying Chen |
| 2026 | ACL | Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding. | Weixu Zhang, Fanghua Ye, Qiang Gao, Jian Li, Haolun Wu, Yuxing Tian, Sijing Duan, Nan Du, Xiaolong Li |
| 2026 | ACL | Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization. | Weixu Zhang, Ye Yuan, Changjiang Han, Yuxing Tian, Zipeng Sun, Linfeng Du, Jikun Kang, Hong Kang, Xue Liu, Haolun Wu |
| 2026 | ICTIR | From Noise to Order: Learning to Rank via Denoising Diffusion. | Sajad Ebrahimi, Bhaskar Mitra, Negar Arabzadeh, Ye Yuan, Haolun Wu, Fattane Zarrinkalam, Ebrahim Bagheri |
| 2026 | WWW | LLM Use for Mental Health: Crowdsourcing Users' Sentiment-based Perspectives and Values from Social Discussions. | Lingyao Li, Xiaoshan Huang, Renkai Ma, Ben Zefeng Zhang, Haolun Wu, Fan Yang, Chen Chen |
| 2025 | AIED | SSRLBot: Designing and Developing a Large Language Model-Based Agent Using Socially Shared Regulated Learning. | Xiaoshan Huang, Jie Gao, Haolun Wu |
| 2025 | AIED | What Makes Teamwork Work? A Multimodal Case Study on Emotions and Diagnostic Expertise in an Intelligent Tutoring System. | Xiaoshan Huang, Haolun Wu, Xue (Steve) Liu, Susanne P. Lajoie |
| 2025 | CSCW | Linking Facial Recognition of Emotions and Socially Shared Regulation in Medical Simulation. | Xiaoshan Huang, Tianlong Zhong, Haolun Wu, Yeyu Wang, Ethan Churchill, Xue Liu, David Williamson Shaffer |
| 2025 | GLOBECOM | Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain. | Ye Yuan, Haolun Wu, Hao Zhou, Xue Liu, Hao Chen, Yan Xin, Jianzhong Charlie Zhang |
| 2025 | ICML | Logits are All We Need to Adapt Closed Models. | Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo |
| 2025 | KDD | Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting. | Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang |
| 2025 | WWW | TEARS: Text Representations for Scrutable Recommendations. | Emiliano Penaloza, Olivier Gouvert, Haolun Wu, Laurent Charlin |
| 2024 | CHI | Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings. | Xiaoshan Huang, Haolun Wu, Xue Liu, Susanne P. Lajoie |
| 2024 | CIKM | Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. | Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma |
| 2024 | EMNLP | Learning to Extract Structured Entities Using Language Models. | Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra |
| 2024 | ICLR | Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation. | Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu |
| 2024 | ICTIR | Towards Group-aware Search Success. | Haolun Wu, Bhaskar Mitra, Nick Craswell |
| 2023 | ICDE | Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. | Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates |
| 2022 | CIKM | Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. | Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates |
| 2022 | SIGIR | Joint Multisided Exposure Fairness for Recommendation. | Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu |
| 2021 | AAAI | Knowledge-Enhanced Top-K Recommendation in Poincar Ball. | Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates |