Zhendong Chu (储振东) (original) (raw)

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. Learning from crowds by modeling common confusions
   In Proceedings of the AAAI Conference on Artificial Intelligence, 2021
2. Multi-objective intrinsic reward learning for conversational recommender systems
   Zhendong Chu, Nan Wang, and Hongning Wang
   Advances in Neural Information Processing Systems, 2023