Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. - Chen Ma 001; Liheng Ma; Yingxue Zhang 001; Haolun Wu; Xue Liu 001; Mark Coates (AAAI, 2021)

Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation. - Haolun Wu; Chen Ma 001; Bhaskar Mitra 001; Fernando Diaz 001; Xue Liu 001 (CoRR, 2021)

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. - Haolun Wu; Chen Ma 001; Yingxue Zhang 001; Xue Liu 001; Ruiming Tang; Mark Coates (CIKM, 2022)

Joint Multisided Exposure Fairness for Recommendation. - Haolun Wu; Bhaskar Mitra 001; Chen Ma 001; Fernando Diaz 001; Xue Liu 001 (SIGIR, 2022)

A Survey of Diversification Techniques in Search and Recommendation. - Haolun Wu; Yansen Zhang; Chen Ma 001; Fuyuan Lyu; Fernando Diaz 001; Xue Liu 001 (CoRR, 2022)

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. - Haolun Wu; Yingxue Zhang 001; Chen Ma 001; Wei Guo 006; Ruiming Tang; Xue Liu 001; Mark Coates (ICDE, 2023)

Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Haolun Wu; Chen Ma 001; Xiuqiang He 001; Xue Liu 001 (CoRR, 2023)

Teacher-Student Architecture for Knowledge Distillation: A Survey. - Chengming Hu; Xuan Li; Dan Liu; Haolun Wu; Xi Chen 009; Ju Wang 003; Xue Liu 001 (CoRR, 2023)

Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval. - Haolun Wu; Ofer Meshi; Masrour Zoghi; Fernando Diaz 001; Xue Liu 001; Craig Boutilier; Maryam Karimzadehgan (CoRR, 2023)

A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. - Haolun Wu; Chen Ma 001; Bhaskar Mitra 001; Fernando Diaz 001; Xue Liu 001 (ACM Trans. Inf. Syst., 2023)

Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings. - Xiaoshan Huang; Haolun Wu; Xue Liu 001; Susanne P. Lajoie (CHI, 2024)

Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. - Ziqiang Cui; Haolun Wu; Bowei He; Ji Cheng 001; Chen Ma 001 (CIKM, 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 (EMBC, 2024)

Learning to Extract Structured Entities Using Language Models. - Haolun Wu; Ye Yuan 017; Liana Mikaelyan; Alexander Meulemans; Xue Liu 004; James Hensman; Bhaskar Mitra 001 (EMNLP, 2024)

Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation. - Chengming Hu; Haolun Wu; Xuan Li; Chen Ma 001; Xi Chen 009; Boyu Wang 004; Jun Yan 007; Xue Liu 001 (ICLR, 2024)

Towards Group-aware Search Success. - Haolun Wu; Bhaskar Mitra 001; Nick Craswell (ICTIR, 2024)

Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval. - Haolun Wu; Ofer Meshi; Masrour Zoghi; Fernando Diaz 001; Xue (Steve) Liu; Craig Boutilier; Maryam Karimzadehgan (NeurIPS, 2024)

Structured Entity Extraction Using Large Language Models. - Haolun Wu; Ye Yuan 017; Liana Mikaelyan; Alexander Meulemans; Xue Liu 001; James Hensman; Bhaskar Mitra 001 (CoRR, 2024)

Diffusion-based Contrastive Learning for Sequential Recommendation. - Ziqiang Cui; Haolun Wu; Bowei He; Ji Cheng 001; Chen Ma 001 (CoRR, 2024)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. - Hao Zhou 013; Chengming Hu; Ye Yuan 017; Yufei Cui; Yili Jin 001; Can Chen 005; Haolun Wu; Dun Yuan; Li Jiang; Di Wu 044; Xue Liu 004; Charlie Jianzhong Zhang; et al. (CoRR, 2024)

Retrieval-Augmented Generation for Natural Language Processing: A Survey. - Shangyu Wu; Ying Xiong; Yufei Cui; Haolun Wu; Can Chen 005; Ye Yuan 017; Lianming Huang; Xue Liu 001; Tei-Wei Kuo; Nan Guan; Chun Jason Xue (CoRR, 2024)

TEARS: Textual Representations for Scrutable Recommendations. - Emiliano Penaloza; Olivier Gouvert; Haolun Wu; Laurent Charlin (CoRR, 2024)

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. - Chang Meng; Ziqi Zhao; Wei Guo 006; Yingxue Zhang 001; Haolun Wu; Chen Gao 001; Dong Li 016; Xiu Li 001; Ruiming Tang (ACM Trans. Inf. Syst., 2024)

Result Diversification in Search and Recommendation: A Survey. - Haolun Wu; Yansen Zhang; Chen Ma 001; Fuyuan Lyu; Bowei He; Bhaskar Mitra 001; Xue Liu 001 (IEEE Trans. Knowl. Data Eng., 2024)

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 (AIED (5), 2025)

Audio Prototypical Network for Controllable Music Recommendation. - Firat Öncel; Emiliano Penaloza; Haolun Wu; Shubham Gupta; Mirco Ravanelli; Laurent Charlin; Cem Subakan (MLSP, 2025)

Counterfactual Multi-player Bandits for Explainable Recommendation Diversification. - Yansen Zhang; Bowei He; Xiaokun Zhang 001; Haolun Wu; Zexu Sun; Chen Ma 001 (ECML/PKDD (6), 2025)

TEARS: Text Representations for Scrutable Recommendations. - Emiliano Penaloza; Olivier Gouvert; Haolun Wu; Laurent Charlin (WWW, 2025)

Design Editing for Offline Model-based Optimization. - Ye Yuan 017; Youyuan Zhang; Can Chen 005; Haolun Wu; Melody Zixuan Li; Jianmo Li; James J. Clark; Xue Liu 001 (Trans. Mach. Learn. Res., 2025)

Logits are All We Need to Adapt Closed Models. - Gaurush Hiranandani; Haolun Wu; Subhojyoti Mukherjee; Sanmi Koyejo (CoRR, 2025)

SSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated Learning. - Xiaoshan Huang; Jie Gao; Haolun Wu (CoRR, 2025)

Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain. - Ye Yuan 017; Haolun Wu; Hao Zhou 013; Xue Liu 001; Hao Chen 010; Yan Xin; Jianzhong Zhang 002 (CoRR, 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 001; Xing Tang 007 (CoRR, 2025)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. - Hao Zhou 013; Chengming Hu; Ye Yuan 017; Yufei Cui; Yili Jin 001; Can Chen 005; Haolun Wu; Dun Yuan; Li Jiang; Di Wu 044; Xue (Steve) Liu; Jianzhong Zhang 002; et al. (IEEE Commun. Surv. Tutorials, 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, 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 (CoRR, 2025)