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Haolun Wu
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2020 – today
- 2024
- [j3]Haolun Wu
, Yansen Zhang
Result Diversification in Search and Recommendation: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5354-5373 (2024) - [j2]Chang Meng
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 42(1): 30:1-30:27 (2024) - [c9]Xiaoshan Huang
Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings. CHI 2024: 488:1-488:9 - [c8]Ziqiang Cui
Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. CIKM 2024: 404-414 - [c7]Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra:
Learning to Extract Structured Entities Using Language Models. EMNLP 2024: 6817-6834 - [c6]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 - [c5]Haolun Wu
Towards Group-aware Search Success. ICTIR 2024: 123-131 - [i19]Xiaoshan Huang, Haolun Wu, Xue Liu, Susanne P. Lajoie:
Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings. CoRR abs/2401.12956 (2024) - [i18]Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra:
Structured Entity Extraction Using Large Language Models. CoRR abs/2402.04437 (2024) - [i17]Haolun Wu, Bhaskar Mitra, Nick Craswell:
Towards Group-aware Search Success. CoRR abs/2404.17313 (2024) - [i16]Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma:
Diffusion-based Contrastive Learning for Sequential Recommendation. CoRR abs/2405.09369 (2024) - [i15]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 abs/2405.10825 (2024) - [i14]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 abs/2405.13964 (2024) - [i13]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 abs/2407.13193 (2024) - [i12]Emiliano Penaloza, Olivier Gouvert, Haolun Wu, Laurent Charlin:
TEARS: Textual Representations for Scrutable Recommendations. CoRR abs/2410.19302 (2024) - 2023
- [j1]Haolun Wu
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. 41(2): 47:1-47:29 (2023) - [c4]Haolun Wu, Yingxue Zhang, Chen Ma
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. ICDE 2023: 1112-1125 - [i11]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 abs/2302.02241 (2023) - [i10]Chengming Hu, Xuan Li, Dan Liu, Haolun Wu, Xi Chen, Ju Wang, Xue Liu:
Teacher-Student Architecture for Knowledge Distillation: A Survey. CoRR abs/2308.04268 (2023) - [i9]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 abs/2310.20091 (2023) - [i8]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 abs/2312.15112 (2023) - 2022
- [c3]Haolun Wu, Chen Ma
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CIKM 2022: 2148-2157 - [c2]Haolun Wu, Bhaskar Mitra, Chen Ma
Joint Multisided Exposure Fairness for Recommendation. SIGIR 2022: 703-714 - [i7]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. CoRR abs/2205.00048 (2022) - [i6]Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CoRR abs/2208.01709 (2022) - [i5]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 abs/2208.01849 (2022) - [i4]Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. CoRR abs/2211.06370 (2022) - [i3]Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu:
A Survey of Diversification Techniques in Search and Recommendation. CoRR abs/2212.14464 (2022) - 2021
- [c1]Chen Ma
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI 2021: 4285-4293 - [i2]Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR abs/2101.04852 (2021) - [i1]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 abs/2105.02951 (2021)
Coauthor Index
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last updated on 2024-12-02 21:31 CET by the dblp team
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