Haolun Wu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 27

Top Topics

Implicit Feedback

Social Annotations

Contextual Bandit

Top Venues

ACM Trans. Inf. Syst.

Publications

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
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. CoRR (2024)
Xiaoshan Huang, Haolun Wu, Xue Liu, Susanne P. Lajoie
Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings. CoRR (2024)
Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Zixuan Li, Jianmo Li, James J. Clark, Xue Liu
Design Editing for Offline Model-based Optimization. CoRR (2024)
Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation. ICLR (2024)
Haolun Wu, Bhaskar Mitra, Nick Craswell
Towards Group-aware Search Success. ICTIR (2024)
Haolun Wu, Bhaskar Mitra, Nick Craswell
Towards Group-aware Search Success. CoRR (2024)
Xiaoshan Huang, Haolun Wu, Xue Liu, Susanne P. Lajoie
Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings. CHI (2024)
Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma
Diffusion-based Contrastive Learning for Sequential Recommendation. CoRR (2024)
Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 42 (1) (2024)
Shangyu Wu, Ying Xiong, Yufei Cui, Haolun Wu, Can Chen, Ye Yuan, Lianming Huang, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue
Retrieval-Augmented Generation for Natural Language Processing: A Survey. CoRR (2024)
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
Structured Entity Extraction Using Large Language Models. CoRR (2024)
Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR (2023)
Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. 41 (2) (2023)
Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Jun Yan, Boyu Wang, Xue Liu
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation. CoRR (2023)
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. ICDE (2023)
Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan
Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval. CoRR (2023)
Chengming Hu, Xuan Li, Dan Liu, Haolun Wu, Xi Chen, Ju Wang, Xue Liu
Teacher-Student Architecture for Knowledge Distillation: A Survey. CoRR (2023)
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CIKM (2022)
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu
Joint Multisided Exposure Fairness for Recommendation. SIGIR (2022)
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu
Joint Multisided Exposure Fairness for Recommendation. CoRR (2022)
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CoRR (2022)
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. CoRR (2022)
Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu
A Survey of Diversification Techniques in Search and Recommendation. CoRR (2022)
Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. CoRR (2022)
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI (2021)
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR (2021)
Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation. CoRR (2021)