Zhendong Chu (储振东)

Affiliations University of Virginia

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800 Bellevue Way NE

Bellevue, WA 98004

I obtained my Ph.D. in Computer Science from the University of Virginia, under the supervision of Prof. Hongning Wang. Prior to joining the UVa, I obtained my bachelor degree from the School of Computer Science at Fudan University, where I worked closely with Prof. Shanfeng Zhu and Prof. Yanghua Xiao.

My current research interests focus on LLM personalization (e.g., personalized fine-tuning and user profiling) and Multimodal Large Reasoning Models (Deepseek-R1-like models). Previously, I have conducted extensive research in areas including Conversational Recommendation Systems, Meta-Reinforcement Learning, Weakly-Supervised Learning, and other key topics in machine learning.

I am open to collaborating on research projects, feel free to email me if you think our interests align.

selected publications

  1. EMNLP
    SkillBrew: Multi-Objective Curation of Skill Banks for LLM Agents
    Wentao Hu*, Zhendong Chu*, Yiming Zhang, Junda Wu, Ming Jin, Xiangyu Zhao, Yilei Shao, Yanfeng Wang, and Qingsong Wen
    In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026
  2. EMNLP
    RecToolBench: Benchmarking Recommendation-Specific Tool Orchestration under Fuzzy User Intent
    Xiao Chen, Yicheng Zhao, Yingying Wu, Zhendong Chu, Changyi Ma, Qingsong Wen, and Xuan Song
    In Findings of the Association for Computational Linguistics: EMNLP 2026, 2026
  3. AAAI
    Meta-reinforcement learning via exploratory task clustering
    Zhendong Chu, Renqin Cai, and Hongning Wang
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
  4. NeurIPS
    Multi-objective intrinsic reward learning for conversational recommender systems
    Zhendong Chu, Nan Wang, and Hongning Wang
    Advances in Neural Information Processing Systems, 2023