Shuchang Liu

According to our database, Shuchang Liu authored at least 32 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

KLAN: Kuaishou Landing-page Adaptive Navigator.

Fan Li, Chang Meng, Jiaqi Fu, Shuchang Liu, Jiashuo Zhang, Tianke Zhang, Xueliang Wang, Xiaoqiang Feng

CoRR, July, 2025

A Survey on Trustworthy Recommender Systems.

Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang

Trans. Recomm. Syst., June, 2025

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation.

Qing Yu, Xiaobei Wang, Shuchang Liu, Yandong Bai, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, Hailan Yang, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou

CoRR, May, 2025

Explicit Uncertainty Modeling for Video Watch Time Prediction.

Shanshan Wu, Shuchang Liu, Shuai Zhang, Xiaoyu Yang, Xiang Li, Lantao Hu, Han Li

CoRR, April, 2025

Stratified Expert Cloning with Adaptive Selection for User Retention in Large-Scale Recommender Systems.

Chengzhi Lin, Annan Xie, Shuchang Liu, Wuhong Wang, Chuyuan Wang, Yongqi Liu

CoRR, April, 2025

Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation.

Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lanatao Hu

CoRR, January, 2025

Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer.

Chongming Gao, Kexin Huang, Ziang Fei, Jiaju Chen, Jiawei Chen, Jianshan Sun, Shuchang Liu, Qingpeng Cai, Peng Jiang

CoRR, January, 2025

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, 2025

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, 2025

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems.

Jiaju Chen, Chongming Gao, Shuai Yuan, Shuchang Liu, Qingpeng Cai, Peng Jiang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

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, 2025

LLM-Powered User Simulator for Recommender System.

Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation.

Chang Meng, Chenhao Zhai, Xueliang Wang, Shuchang Liu, Xiaoqiang Feng, Lantao Hu, Xiu Li, Han Li, Kun Gai

CoRR, 2024

Dreaming User Multimodal Representation Guided by The Platonic Representation Hypothesis for Micro-Video Recommendation.

Chengzhi Lin, Hezheng Lin, Shuchang Liu, Cangguang Ruan, Lingjing Xu, Dezhao Yang, Chuyuan Wang, Yongqi Liu

CoRR, 2024

Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendation.

Chengzhi Lin, Shuchang Liu, Chuyuan Wang, Yongqi Liu

CoRR, 2024

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

CoRR, 2024

Future Impact Decomposition in Request-level Recommendations.

Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Guangming Xie

CoRR, 2024

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, 2024

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, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Fairness in Recommendation: Foundations, Methods, and Applications.

Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang

ACM Trans. Intell. Syst. Technol., October, 2023

A Large Language Model Enhanced Conversational Recommender System.

Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun

CoRR, 2023

Multi-Task Recommendations with Reinforcement Learning.

Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the ACM Web Conference 2023, 2023

Exploration and Regularization of the Latent Action Space in Recommendation.

Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang

Proceedings of the ACM Web Conference 2023, 2023

Two-Stage Constrained Actor-Critic for Short Video Recommendation.

Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the ACM Web Conference 2023, 2023

Reinforcing User Retention in a Billion Scale Short Video Recommender System.

Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.

Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

State Regularized Policy Optimization on Data with Dynamics Shift.

Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement.

Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generative Flow Network for Listwise Recommendation.

Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement.

Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Bo An

CoRR, 2022