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ORCIDChengkai Huang
- > Home > Persons > Chengkai Huang
Publications
- 2025
[c13]Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian J. McAuley, Lina Yao:
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. COLING 2025: 1403-1412- [i13]Chengkai Huang, Junda Wu, Yu Xia, Zixu Yu, Ruhan Wang, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Branislav Kveton, Dongruo Zhou, Julian J. McAuley, Lina Yao:
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models. CoRR abs/2503.16734 (2025) - [i12]Chengkai Huang, Hongtao Huang, Tong Yu, Kaige Xie, Junda Wu, Shuai Zhang, Julian J. McAuley, Dietmar Jannach, Lina Yao:
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms. CoRR abs/2504.16420 (2025) - [i10]Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C. S. Lui, Dongruo Zhou:
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality. CoRR abs/2506.07440 (2025) - 2024
- [i9]Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang
, Lina Yao, Julian J. McAuley:
Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR abs/2402.11143 (2024) - [i8]Chengkai Huang, Rui Wang, Kaige Xie, Tong Yu, Lina Yao:
Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. CoRR abs/2404.03514 (2024) - [i7]Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong:
Federated Large Language Models: Current Progress and Future Directions. CoRR abs/2409.15723 (2024) - [i6]Hongtao Huang, Chengkai Huang, Xiaojun Chang, Wen Hu, Lina Yao:
Dual Conditional Diffusion Models for Sequential Recommendation. CoRR abs/2410.21967 (2024) - [i5]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. CoRR abs/2410.22013 (2024) - [i4]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. CoRR abs/2410.22790 (2024) - 2023
- [c11]Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao:
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. CIKM 2023: 3564-3573 - [c10]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. SIGIR 2023: 99-109 - [c9]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. WWW 2023: 1252-1263 - 2022
- [i3]Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. CoRR abs/2208.06746 (2022)
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