Shuchang Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
11
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | KDD | KLAN: Kuaishou Landing-page Adaptive Navigator. | Fan Li, Chang Meng, Jiaqi Fu, Shuchang Liu, Jiashuo Zhang, Tianke Zhang, Xueliang Wang, Xiaoqiang Feng |
| 2026 | KDD | Heterogeneous Multi-treatment Uplift Modeling for Trade-off Optimization in Short-Video Recommendation. | Chenhao Zhai, Chang Meng, Xueliang Wang, Shuchang Liu, Xiaolong Hu, Shisong Tang, Xiaoqiang Feng, Xiu Li |
| 2026 | WWW | The 2nd Workshop on Human-Centered Recommender Systems. | Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun |
| 2025 | AAAI | 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 |
| 2025 | CIKM | Stratified Expert Cloning for Retention-Aware Recommendation at Scale. | Chengzhi Lin, Annan Xie, Shuchang Liu, Wuhong Wang, Chuyuan Wang, Yongqi Liu, Han Li |
| 2025 | EDUCON | I-LEAD: A Digital-Intelligence-Powered Ecosystem for Innovation and Entrepreneurship Education. | Shuchang Liu, Minghui Pan, YeHan Yang |
| 2025 | ICIS | Individualized Value Discovery using LLMs for Short Video Recommendation. | Kejun Chen, Shuchang Liu, Jiayin Zhang, Zhitao Yin, Yandong Bai, Xin Li, Sean Xin Xu, Qing Yu, Xiang Li |
| 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 | RecSys | LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems. | Yuyue Zhao, Jin Huang, Shuchang Liu, Jiancan Wu, Xiang Wang, Maarten de Rijke |
| 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 | The 1st Workshop on Human-Centered Recommender Systems. | Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun |
| 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 |
| 2025 | WSDM | DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems. | Jiaju Chen, Chongming Gao, Shuai Yuan, Shuchang Liu, Qingpeng Cai, Peng Jiang |
| 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 | 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 | 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 |
| 2023 | EMNLP | VIP5: Towards Multimodal Foundation Models for Recommendation. | Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang |
| 2023 | KDD | Generative Flow Network for Listwise Recommendation. | Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | KDD | 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 |
| 2023 | WWW | 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 |
| 2023 | WWW | 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 |
| 2023 | WWW | 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 |
| 2023 | WWW | 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 |
| 2022 | RecSys | Fairness-aware Federated Matrix Factorization. | Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amlie Marian |
| 2022 | RecSys | Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). | Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang |
| 2022 | SIGIR | Explainable Fairness in Recommendation. | Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang |
| 2022 | WSDM | Graph Collaborative Reasoning. | Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang |
| 2021 | WWW | Variation Control and Evaluation for Generative Slate Recommendations. | Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang |
| 2021 | SIGIR | FedCT: Federated Collaborative Transfer for Recommendation. | Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amlie Marian |
| 2021 | SIGIR | Learning Causal Explanations for Recommendation. | Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Xu Chen, Yongfeng Zhang |
| 2021 | WSDM | Towards Long-term Fairness in Recommendation. | Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang |
| 2020 | SIGIR | Learning Personalized Risk Preferences for Recommendation. | Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang |
| 2019 | WWW | Maximizing Marginal Utility per Dollar for Economic Recommendation. | Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang |
| 2014 | IGARSS | Hyperspectral image classification using sparse representation-based classifier. | Yufang Tang, Xueming Li, Yan Xu, Yang Liu, Jizhe Wang, Chenyu Liu, Shuchang Liu |