Haolun Wu

According to our database, Haolun Wu authored at least 24 papers between 2021 and 2024.

Collaborative distances:

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

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

Design Editing for Offline Model-based Optimization.

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

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

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