Lantao Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
8
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGIR | Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation. | Na Li, Jiaqi Yu, Minzhi Xie, Tiantian He, Xiaoxiao Xu, Zixiu Wang, Lantao Hu, Yongqi Liu, Han Li, Kaiqiao Zhan, Kun Gai |
| 2026 | SIGIR | KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation. | Changle Qu, Sunhao Dai, Ke Guo, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu, Lantao Hu, Han Li, Jun Xu |
| 2025 | RecSys | Enhancing Online Video Recommendation via a Coarse-to-fine Dynamic Uplift Modeling Framework. | Chang Meng, Chenhao Zhai, Xueliang Wang, Shuchang Liu, Xiaoqiang Feng, Lantao Hu, Xiu Li, Han Li, Kun Gai |
| 2025 | WWW | Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation. | Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lantao Hu |
| 2025 | WWW | Value Function Decomposition in Markov Recommendation Process. | Xiaobei Wang, Shuchang Liu, Qingpeng Cai, Xiang Li, Lantao Hu, Han Li, Guangming Xie |
| 2025 | WWW | 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 |
| 2025 | SIGIR | Generative Recommender with End-to-End Learnable Item Tokenization. | Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao |
| 2025 | SIGIR | 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 |
| 2024 | CIKM | A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System. | Zhiqiang Liu, Xiaoxiao Xu, Jiaqi Yu, Han Xu, Lantao Hu, Han Li, Kun Gai |
| 2024 | DASFAA | RecGPT. | Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | KDD | Modeling User Retention through Generative Flow Networks. | Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang |
| 2024 | KDD | Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. | Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li |
| 2024 | KDD | Future Impact Decomposition in Request-level Recommendations. | Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Kun Gai, Guangming Xie |
| 2024 | KDD | Unsupervised Ranking Ensemble Model for Recommendation. | Wenhui Yu, Bingqi Liu, Bin Xia, Xiaoxiao Xu, Ying Chen, Yongchang Li, Lantao Hu |
| 2024 | KDD | Natural Language Explainable Recommendation with Robustness Enhancement. | Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li |
| 2024 | RecSys | MODEM: Decoupling User Behavior for Shared-Account Video Recommendations on Large Screen Devices. | Jiang Li, Zhen Zhang, Xiang Feng, Muyang Li, Yongqi Liu, Lantao Hu |
| 2024 | WWW | 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 |
| 2024 | SIGIR | Modeling User Fatigue for Sequential Recommendation. | Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao |
| 2024 | SIGIR | 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 |
| 2024 | SIGIR | M | Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai |
| 2014 | ICANN | Content-Boosted Restricted Boltzmann Machine for Recommendation. | Yongqi Liu, Qiuli Tong, Zhao Du, Lantao Hu |
| 2013 | ICALT | Context-Aware Recommendation of Learning Resources Using Rules Engine. | Lantao Hu, Zhao Du, Qiuli Tong, Yongqi Liu |