About

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.

Research Interest

I have abundant interests in Conversational Recommendation System, Meta-Reinforcement Learning, Weakly-Supervised Learning, and other exciting topics in Machine Learning. My previous research experiences mainly lie in ML for crowdsourcing, text mining and knowledge graphs. Currently, I am diving into the exploration of Large Language Models (LLMs), including but not limited to RLHF, LLM agents, etc.

Publications & Manuscripts

• [ICL@ICML’2024] Improve Temporal Awareness of LLMs for Sequential Recommendation, Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun.
• [NAACL’24 Findings] Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances, Long paper, Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I Morariu, Jiuxiang Gu, Ani Nenkova.
• [AAAI’24] Meta-Reinforcement Learning via Exploratory Task Clustering, Long paper, Zhendong Chu, Renqin Cai, Hongning Wang.
• [NeurIPS’23] Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems, Long paper, Zhendong Chu, Nan Wang, Hongning Wang.
• [WSDM’23] Meta Policy Learning for Cold-Start Conversational Recommendation, Long paper, Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu.
• [KDD’21] Improving Learning from Crowds via Generative Augmentation, Long paper, Zhendong Chu and Hongning Wang.
• [AAAI’21] Learning from Crowds by Modeling Common Confusions, Long paper, Zhendong Chu, Jing Ma, Hongning Wang.
• [CIKM’19] Accounting for Temporal Dynamics in Document Streams, Long paper, Zhendong Chu, Renqin Cai, Hongning Wang.
• [ICDE’19] CN-Probase: A Data-driven Approach for Large-scale Chinese Taxonomy Construction, Short paper, Jindong Chen, Ao Wang, Jiangjie Chen, Yanghua Xiao, Zhendong Chu, et al.
• [arXiv’20] InSRL: A Multi-view Learning Framework fusing Multiple Information Sources for Distantly-supervised Relation Extraction, Zhendong Chu*, Haiyun Jiang*, Yanghua Xiao, Wei Wang.
• [arXiv’22] MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation, Long paper, Ye Gao, Zhendong Chu, Hongning Wang, John A. Stankovic.

Service

Reviewer / sub-reviewer: ACL 2023, EMNLP (2023, 2022), KDD (2023, 2022), WSDM (2024, 2023, 2022), SIGIR 2021, AAAI (2024, 2022, 2021), IJCAI 2023

Volunteer: KDD 2020

Misc

I am a big fan of stand-up comedy and jazz hiphop, aside from sharing papers with me, clever jokes are also welcome.