Haolun Wu

According to our database, Haolun Wu authored at least 53 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

QUACK: Questioning, Understanding, and Auditing Communicated Knowledge in Multimodal Social Deduction Agents.

Ye Yuan, Rui Song, Weien Li, Zeyu Li, Haochen Liu, Xiangyu Kong, Changjiang Han, Yonghan Yang, Zichen Zhao, Zixuan Dong, Fuyuan Lyu, Bowei He, Haolun Wu, Jikun Kang, Xue (Steve) Liu

CoRR, May, 2026

Herculean: An Agentic Benchmark for Financial Intelligence.

Xueqing Peng, Zhuohan Xie, Yupeng Cao, Haohang Li, Lingfei Qian, Yan Wang, Vincent Jim Zhang, Huan He, Xuguang Ai, Linhai Ma, Ruoyu Xiang, Yueru He, Yi Han, Shuyao Wang, Yuqing Guo, Mingyang Jiang, Yilun Zhao, Youzhong Dong, Xiaoyu Wang, Yankai Chen, Ye Yuan, Qiyuan Zhang, Fuyuan Lyu, Haolun Wu, Yonghan Yang, Zichen Zhao, Yuyang Dai, Fan Zhang, Rania Elbadry, Ayesha Gull, Muhammad Usman Safder, Nuo Chen, Fengbin Zhu, Tianshi Cai, Zimu Wang, Polydoros Giannouris, Yuechen Jiang, Zhiwei Liu, Mohsinul Kabir, Yuyan Wang, Yixiang Zheng, Yangyang Yu, Weijin Liu, Wenbo Cao, Anke Xu, Peng Lu, Jerry Huang, Mingquan Lin, Prayag Tiwari, Yijia Zhao, Víctor Gutiérrez-Basulto, Xiao-Yang Liu, Kaleb E. Smith, Jiahuan Pei, Arman Cohan, Jimin Huang, Yuehua Tang, Alejandro Lopez-Lira, Xi Chen, Xue Liu, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou

CoRR, May, 2026

Support-Proximity Augmented Diffusion Estimation for Offline Black-Box Optimization.

Yonghan Yang, Ye Yuan, Zipeng Sun, Linfeng Du, Bowei He, Haolun Wu, Can Chen, Xue (Steve) Liu

CoRR, May, 2026

MINER: Mining Multimodal Internal Representation for Efficient Retrieval.

Weien Li, Rui Song, Zeyu Li, Haochen Liu, Gonghao Zhang, Difan Jiao, Zhenwei Tang, Bowei He, Haolun Wu, Xue (Steve) Liu, Ye Yuan

CoRR, May, 2026

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 (Steve) Liu, Haolun Wu

CoRR, April, 2026

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, Xue Liu

CoRR, April, 2026

LLM Safety From Within: Detecting Harmful Content with Internal Representations.

Difan Jiao, Yilun Liu, Ye Yuan, Zhenwei Tang, Linfeng Du, Haolun Wu, Ashton Anderson

CoRR, April, 2026

Beyond Message Passing: A Semantic View of Agent Communication Protocols.

Dun Yuan, Fuyuan Lyu, Ye Yuan, Weixu Zhang, Bowei He, Jiayi Geng, Linfeng Du, Zipeng Sun, Yankai Chen, Changjiang Han, Jikun Kang, Xi Chen, Haolun Wu, Xue Liu

CoRR, April, 2026

Training Diffusion Language Models for Black-Box Optimization.

Zipeng Sun, Can Chen, Ye Yuan, Haolun Wu, Jiayao Gu, Christopher Pal, Xue (Steve) Liu

CoRR, March, 2026

Give Users the Wheel: Towards Promptable Recommendation Paradigm.

Fuyuan Lyu, Chenglin Luo, Qiyuan Zhang, Yupeng Hou, Haolun Wu, Xing Tang, Xue Liu, Jin L. C. Guo, Xiuqiang He

CoRR, February, 2026

From Noise to Order: Learning to Rank via Denoising Diffusion.

Sajad Ebrahimi, Bhaskar Mitra, Negar Arabzadeh, Ye Yuan, Haolun Wu, Fattane Zarrinkalam, Ebrahim Bagheri

CoRR, February, 2026

"I use ChatGPT to humanize my words": Affordances and Risks of ChatGPT to Autistic Users.

Renkai Ma, Ben Zefeng Zhang, Chen Chen, Fan Yang, Xiaoshan Huang, Haolun Wu, Lingyao Li

CoRR, January, 2026

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

CoRR, January, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

2025

Privis: Towards Content-Aware Secure Volumetric Video Delivery.

Kaiyuan Hu, Hong Kang, Yili Jin, Junhua Liu, Chengming Hu, Haolun Wu, Xue Liu

CoRR, November, 2025

Can LLM Agents Really Debate? A Controlled Study of Multi-Agent Debate in Logical Reasoning.

Haolun Wu, Zhenkun Li, Lingyao Li

CoRR, November, 2025

PartnerMAS: An LLM Hierarchical Multi-Agent Framework for Business Partner Selection on High-Dimensional Features.

Lingyao Li, Haolun Wu, Zhenkun Li, Jiabei Hu, Yu Wang, Xiaoshan Huang, Wenyue Hua, Wenqian Wang

CoRR, September, 2025

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue (Steve) Liu, Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu

IEEE Commun. Surv. Tutorials, June, 2025

Design Editing for Offline Model-based Optimization.

Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu

Trans. Mach. Learn. Res., 2025

TEARS: Text Representations for Scrutable Recommendations.

Emiliano Penaloza, Olivier Gouvert, Haolun Wu, Laurent Charlin

Proceedings of the ACM on Web Conference 2025, 2025

Counterfactual Multi-player Bandits for Explainable Recommendation Diversification.

Yansen Zhang, Bowei He, Xiaokun Zhang, Haolun Wu, Zexu Sun, Chen Ma

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Aligning Compound AI Systems via System-level DPO.

Xiangwen Wang, Yibo Jacky Zhang, Zhoujie Ding, Katherine Tsai, Haolun Wu, Sanmi Koyejo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Audio Prototypical Network for Controllable Music Recommendation.

Firat Öncel, Emiliano Penaloza, Haolun Wu, Shubham Gupta, Mirco Ravanelli, Laurent Charlin, Cem Subakan

Proceedings of the 35th IEEE International Workshop on Machine Learning for Signal Processing, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Logits are All We Need to Adapt Closed Models.

Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the 2025 IEEE Global Communications Conference, 2025

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

Proceedings of the Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing, 2025

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

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

SSRLBot: Designing and Developing a Large Language Model-Based Agent Using Socially Shared Regulated Learning.

Xiaoshan Huang, Jie Gao, Haolun Wu

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

2024

Result Diversification in Search and Recommendation: A Survey.

Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu

IEEE Trans. Knowl. Data Eng., October, 2024

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.

Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang

ACM Trans. Inf. Syst., January, 2024

TEARS: Textual Representations for Scrutable Recommendations.

Emiliano Penaloza, Olivier Gouvert, Haolun Wu, Laurent Charlin

CoRR, 2024

Retrieval-Augmented Generation for Natural Language Processing: A Survey.

Shangyu Wu, Ying Xiong, Yufei Cui, Haolun Wu, Can Chen, Ye Yuan, Lianming Huang, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue

CoRR, 2024

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue Liu, Charlie Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu

CoRR, 2024

Diffusion-based Contrastive Learning for Sequential Recommendation.

Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma

CoRR, 2024

Structured Entity Extraction Using Large Language Models.

Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra

CoRR, 2024

Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval.

Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue (Steve) Liu, Craig Boutilier, Maryam Karimzadehgan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Group-aware Search Success.

Haolun Wu, Bhaskar Mitra, Nick Craswell

Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Extract Structured Entities Using Language Models.

Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Adaptive Impedance Matching with Fault Ride Through in Wireless Power Transfer for Implanted Medical Devices.

Han Wu, Yufei Cai, Haolun Wu, Sultan Mahmud, Ali Nezaratizadeh, Adam Khalifa

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning.

Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings.

Xiaoshan Huang, Haolun Wu, Xue Liu, Susanne P. Lajoie

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation.

Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu

ACM Trans. Inf. Syst., April, 2023

Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval.

Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan

CoRR, 2023

Teacher-Student Architecture for Knowledge Distillation: A Survey.

Chengming Hu, Xuan Li, Dan Liu, Haolun Wu, Xi Chen, Ju Wang, Xue Liu

CoRR, 2023

Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives.

Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu

CoRR, 2023

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation.

Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

A Survey of Diversification Techniques in Search and Recommendation.

Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu

CoRR, 2022

Joint Multisided Exposure Fairness for Recommendation.

Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation.

Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation.

Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu

CoRR, 2021

Knowledge-Enhanced Top-K Recommendation in Poincaré Ball.

Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021