Changshuo Zhang

According to our database, Changshuo Zhang authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

A survey of controllable learning: methods and applications in information retrieval.

Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu, Ming He, Jianping Fan

Frontiers Comput. Sci., October, 2026

Reasoning While Recommending: Entropy-Guided Latent Reasoning in Generative Re-ranking Models.

Changshuo Zhang

CoRR, January, 2026

Process In-Context Learning: Enhancing Mathematical Reasoning via Dynamic Demonstration Insertion.

Ang Gao, Changshuo Zhang, Xiao Zhang, Deyang Li, Minjun Zhao, Fangchao Liu, Xinyu Zhang

CoRR, January, 2026

2025

Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation.

Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen

CoRR, April, 2025

Comment Staytime Prediction with LLM-enhanced Comment Understanding.

Changshuo Zhang, Zihan Lin, Shukai Liu, Yongqi Liu, Han Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation.

Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning.

Changshuo Zhang, Ang Gao, Xiao Zhang, Yong Liu, Deyang Li, Fangchao Liu, Xinyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Towards Unbiased and Real-Time Staytime Prediction for Live Streaming Recommendation.

Haiyuan Zhao, Changshuo Zhang, Yang Wang, Hao Wang, Zhen Ouyang, Bin Yuan, Qinglei Wang, Zuotao Liu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation.

Changshuo Zhang, Teng Shi, Xiao Zhang, Qi Liu, Ruobing Xie, Jun Xu, Ji-Rong Wen

CoRR, 2024

A Survey of Controllable Learning: Methods and Applications in Information Retrieval.

Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu

CoRR, 2024

QAGCF: Graph Collaborative Filtering for Q&A Recommendation.

Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen

CoRR, 2024

UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems.

Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu

CoRR, 2024

Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy.

Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce.

Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Controllable Multi-Objective Re-ranking with Policy Hypernetworks.

Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Quan Lin, Cheng Zhu, Jun Xu

CoRR, 2023

Controllable Multi-Objective Re-ranking with Policy Hypernetworks.

Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu

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