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2020 – today
- 2024
[b1]Lantao Hu, Yueting Li, Guangfan Cui, Kexin Yi:
Industrial Recommender System - Principles, Technologies and Enterprise Applications. Springer 2024, ISBN 978-981-97-2580-9, pp. 1-246- [j1]Yabin Zhang
, Zhenlei Wang, Wenhui Yu, Lantao Hu, Peng Jiang, Kun Gai, Xu Chen:
Soft Contrastive Sequential Recommendation. ACM Trans. Inf. Syst. 42(6): 154:1-154:28 (2024) - [c15]Zhiqiang Liu, Xiaoxiao Xu, Jiaqi Yu, Han Xu, Lantao Hu, Han Li, Kun Gai:
A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System. CIKM 2024: 4726-4733 - [c14]Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai:
RecGPT. DASFAA (5) 2024: 233-250 - [c13]Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li:
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. KDD 2024: 2854-2865 - [c12]Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li:
Natural Language Explainable Recommendation with Robustness Enhancement. KDD 2024: 4203-4212 - [c11]Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang:
Modeling User Retention through Generative Flow Networks. KDD 2024: 5497-5508 - [c10]Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Kun Gai, Guangming Xie:
Future Impact Decomposition in Request-level Recommendations. KDD 2024: 5905-5916 - [c9]Wenhui Yu, Bingqi Liu, Bin Xia, Xiaoxiao Xu, Ying Chen, Yongchang Li, Lantao Hu:
Unsupervised Ranking Ensemble Model for Recommendation. KDD 2024: 6181-6189 - [c8]Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu:
Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. ACM Multimedia 2024: 5683-5691 - [c7]Jiang Li, Zhen Zhang, Xiang Feng, Muyang Li, Yongqi Liu, Lantao Hu:
MODEM: Decoupling User Behavior for Shared-Account Video Recommendations on Large Screen Devices. RecSys 2024: 907-911 - [c6]Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai:
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. SIGIR 2024: 893-902 - [c5]Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao:
Modeling User Fatigue for Sequential Recommendation. SIGIR 2024: 996-1005 - [c4]Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai:
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. SIGIR 2024: 1872-1882 - [c3]Xiaoxiao Xu, Hao Wu, Wenhui Yu, Lantao Hu, Peng Jiang, Kun Gai:
Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples. WWW (Companion Volume) 2024: 453-460 - [i14]Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Guangming Xie:
Future Impact Decomposition in Request-level Recommendations. CoRR abs/2401.16108 (2024) - [i13]Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai:
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. CoRR abs/2404.03637 (2024) - [i12]Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai:
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm. CoRR abs/2404.08675 (2024) - [i11]Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai:
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. CoRR abs/2404.18465 (2024) - [i10]Peilun Zhou, Xiaoxiao Xu, Lantao Hu, Han Li, Peng Jiang:
A Model-based Multi-Agent Personalized Short-Video Recommender System. CoRR abs/2405.01847 (2024) - [i9]Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao:
Modeling User Fatigue for Sequential Recommendation. CoRR abs/2405.11764 (2024) - [i8]Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang:
Modeling User Retention through Generative Flow Networks. CoRR abs/2406.06043 (2024) - [i7]Wenhui Yu, Chao Feng, Yanze Zhang, Lantao Hu, Peng Jiang, Han Li:
IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling. CoRR abs/2406.09742 (2024) - [i6]Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li:
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. CoRR abs/2407.10184 (2024) - [i5]Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao:
End-to-End Learnable Item Tokenization for Generative Recommendation. CoRR abs/2409.05546 (2024) - [i4]Han Xu, Taoxing Pan, Zhiqiang Liu, Xiaoxiao Xu, Lantao Hu:
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction. CoRR abs/2410.15098 (2024) - [i3]Chang Meng, Chenhao Zhai, Xueliang Wang, Shuchang Liu, Xiaoqiang Feng, Lantao Hu, Xiu Li, Han Li, Kun Gai:
Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation. CoRR abs/2410.16755 (2024) - 2023
- [i2]Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun:
A Large Language Model Enhanced Conversational Recommender System. CoRR abs/2308.06212 (2023) - [i1]Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An:
AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. CoRR abs/2310.03984 (2023)
2010 – 2019
- 2014
- [c2]Yongqi Liu, Qiuli Tong, Zhao Du, Lantao Hu:
Content-Boosted Restricted Boltzmann Machine for Recommendation. ICANN 2014: 773-780 - 2013
- [c1]Lantao Hu, Zhao Du, Qiuli Tong, Yongqi Liu:
Context-Aware Recommendation of Learning Resources Using Rules Engine. ICALT 2013: 181-183
Coauthor Index
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