Lantao Hu

2025

doi dblp
Generative Recommender with End-to-End Learnable Item Tokenization.
Enze Liu|Bowen Zheng|Cheng Ling|Lantao Hu|Han Li|Wayne Xin Zhao
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
Comprehensive List Generation for Multi-Generator Reranking.
Hailan Yang|Zhenyu Qi|Shuchang Liu|Xiaoyu Yang|Xiaobei Wang|Xiang Li|Lantao Hu|Han Li|Kun Gai
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation.
Wenyu Mao|Shuchang Liu|Haoyang Liu|Haozhe Liu|Xiang Li|Lantao Hu
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
doi dblp
Value Function Decomposition in Markov Recommendation Process.
Xiaobei Wang|Shuchang Liu|Qingpeng Cai|Xiang Li|Lantao Hu|Han Li|Guangming Xie
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
doi dblp
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems.
Zhenghai Xue|Qingpeng Cai|Bin Yang|Lantao Hu|Peng Jiang|Kun Gai|Bo An
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2024

doi dblp
Soft Contrastive Sequential Recommendation.
Yabin Zhang|Zhenlei Wang|Wenhui Yu|Lantao Hu|Peng Jiang|Kun Gai|Xu Chen
ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 6
doi dblp
A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System.
Zhiqiang Liu|Xiaoxiao Xu|Jiaqi Yu|Han Xu|Lantao Hu|Han Li|Kun Gai
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
Modeling User Fatigue for Sequential Recommendation.
Nian Li|Xin Ban|Cheng Ling|Chen Gao|Lantao Hu|Peng Jiang|Kun Gai|Yong Li|Qingmin Liao
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.
Ziru Liu|Shuchang Liu|Zijian Zhang|Qingpeng Cai|Xiangyu Zhao|Kesen Zhao|Lantao Hu|Peng Jiang|Kun Gai
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.
Zijian Zhang|Shuchang Liu|Jiaao Yu|Qingpeng Cai|Xiangyu Zhao|Chunxu Zhang|Ziru Liu|Qidong Liu|Hongwei Zhao|Lantao Hu|Peng Jiang|Kun Gai
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.
Xiaoxiao Xu|Hao Wu|Wenhui Yu|Lantao Hu|Peng Jiang|Kun Gai
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024