Segui
Haolun Wu
Haolun Wu
Researcher at Mila, McGill, Stanford | Prev. intern at Google, MSR
Email verificata su cs.stanford.edu - Home page
Titolo
Citata da
Citata da
Anno
A multi-objective optimization framework for multi-stakeholder fairness-aware recommendation
H Wu, C Ma, B Mitra, F Diaz, X Liu
ACM Transactions on Information Systems 41 (2), 1-29, 2022
86*2022
Joint Multisided Exposure Fairness for Recommendation
H Wu, B Mitra, C Ma, F Diaz, X Liu
ACM Special Interest Group on Information Retrieval (SIGIR), 2022., 12:703-714, 2022
662022
Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities
H Zhou, C Hu, Y Yuan, Y Cui, Y Jin, C Chen, H Wu, D Yuan, L Jiang, ...
arXiv preprint arXiv:2405.10825, 2024
572024
Teacher-student architecture for knowledge distillation: A survey
C Hu, X Li, D Liu, H Wu, X Chen, J Wang, X Liu
arXiv preprint arXiv:2308.04268, 2023
49*2023
Multi-factor sequential re-ranking with perception-aware diversification
Y Xu, H Chen, Z Wang, J Yin, Q Shen, D Wang, F Huang, L Lai, T Zhuang, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
422023
Knowledge-enhanced Top-K recommendation in poincaré ball
C Ma, L Ma, Y Zhang, H Wu, X Liu, M Coates
Association for the Advancement of Artificial Intelligence (AAAI), 2021. 35 …, 2021
382021
Coarse-to-fine knowledge-enhanced multi-interest learning framework for multi-behavior recommendation
C Meng, Z Zhao, W Guo, Y Zhang, H Wu, C Gao, D Li, X Li, R Tang
ACM Transactions on Information Systems 42 (1), 1-27, 2023
302023
Retrieval-augmented generation for natural language processing: A survey
S Wu, Y Xiong, Y Cui, H Wu, C Chen, Y Yuan, L Huang, X Liu, TW Kuo, ...
arXiv preprint arXiv:2407.13193, 2024
212024
Result Diversification in Search and Recommendation: A Survey
H Wu, Y Zhang, C Ma, F Lyu, B He, B Mitra, X Liu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, 2024
21*2024
Hierarchical projection enhanced multi-behavior recommendation
C Meng, H Zhang, W Guo, H Guo, H Liu, Y Zhang, H Zheng, R Tang, X Li, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
212023
A new medical image encryption algorithm using multiple 1-D chaotic maps
C Fu, YF Shan, MY He, ZY Yu, HL Wu
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
20*2018
Learning to Extract Structured Entities Using Language Models
H Wu, Y Yuan, L Mikaelyan, A Meulemans, X Liu, J Hensman, B Mitra
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
7*2024
Coordination Control of Path Tracking and Stability for 4WS Autonomous Vehicle
H Wu, Y Li
2020 5th International Conference on Electromechanical Control Technology …, 2020
72020
Recommendation system with adaptive thresholds for neighborhood selection
H Wu, C Ma, Y Zhang, M Coates
US Patent US20220253722A1, 2022
62022
Pixel level image encryption based on semantic segmentation
Y Shan, M He, Z Yu, H Wu
2018 International Conference on Control, Artificial Intelligence, Robotics …, 2018
62018
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation
H Wu, Y Zhang, C Ma, W Guo, R Tang, X Liu, M Coates
IEEE International Conference on Data Engineering (ICDE), 2023., 2022
52022
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation
H Wu, C Ma, Y Zhang, X Liu, R Tang, M Coates
ACM Conference on Information and Knowledge Management (CIKM), 2022., 2022
52022
Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning
Z Cui, H Wu, B He, J Cheng, C Ma
Proceedings of the 33rd ACM International Conference on Information and …, 2024
4*2024
Feature representation learning for click-through rate prediction: A review and new perspectives
F Lyu, X Tang, D Liu, H Wu, C Ma, X He, X Liu
arXiv preprint arXiv:2302.02241, 2023
42023
Recommendation system with adaptive weighted baysian personalized ranking loss
H Wu, C Ma, Y Zhang
US Patent App. 17/170,865, 2022
32022
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