Zhendong Chu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Reinforcement Learning

Learning From Noisy Data

Top Venues

Publications

Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun
Improve Temporal Awareness of LLMs for Sequential Recommendation. CoRR (2024)
Zhendong Chu, Renqin Cai, Hongning Wang
Meta-Reinforcement Learning via Exploratory Task Clustering. AAAI (2024)
Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu
Meta Policy Learning for Cold-Start Conversational Recommendation. WSDM (2023)
Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. CoRR (2023)
Zhendong Chu, Nan Wang, Hongning Wang
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems. NeurIPS (2023)
Zhendong Chu, Hongning Wang
Meta-Reinforcement Learning via Exploratory Task Clustering. CoRR (2023)
Zhendong Chu, Nan Wang, Hongning Wang
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems. CoRR (2023)
Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu
Meta Policy Learning for Cold-Start Conversational Recommendation. CoRR (2022)
Ye Gao, Zhendong Chu, Hongning Wang, John A. Stankovic
MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation. CoRR (2022)
Zhendong Chu, Hongning Wang
Improve Learning from Crowds via Generative Augmentation. KDD (2021)
Zhendong Chu, Hongning Wang
Improve Learning from Crowds via Generative Augmentation. CoRR (2021)
Zhendong Chu, Jing Ma, Hongning Wang
Learning from Crowds by Modeling Common Confusions. AAAI (2021)
Zhendong Chu, Haiyun Jiang, Yanghua Xiao, Wei Wang
InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction. CoRR (2020)
Zhendong Chu, Jing Ma, Hongning Wang
Learning from Crowds by Modeling Common Confusions. CoRR (2020)
Jindong Chen, Ao Wang, Jiangjie Chen, Yanghua Xiao, Zhendong Chu, Jingping Liu, Jiaqing Liang, Wei Wang
CN-Probase: A Data-Driven Approach for Large-Scale Chinese Taxonomy Construction. ICDE (2019)
Jindong Chen, Ao Wang, Jiangjie Chen, Yanghua Xiao, Zhendong Chu, Jingping Liu, Jiaqing Liang, Wei Wang
CN-Probase: A Data-driven Approach for Large-scale Chinese Taxonomy Construction. CoRR (2019)
Zhendong Chu, Renqin Cai, Hongning Wang
Accounting for Temporal Dynamics in Document Streams. CIKM (2019)