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ORCIDZhendong Chu
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2020 – today
- 2024
[c8]Zhendong Chu, Renqin Cai, Hongning Wang:
Meta-Reinforcement Learning via Exploratory Task Clustering. AAAI 2024: 11633-11641- [c7]Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova:
Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. NAACL-HLT (Findings) 2024: 196-210 - [i11]Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun:
Improve Temporal Awareness of LLMs for Sequential Recommendation. CoRR abs/2405.02778 (2024) - [i10]Tianlong Xu, Yi-Fan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen:
AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction. CoRR abs/2409.09403 (2024) - 2023
- [c6]Zhendong Chu, Nan Wang, Hongning Wang:
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems. NeurIPS 2023 - [c5]Zhendong Chu
, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu:
Meta Policy Learning for Cold-Start Conversational Recommendation. WSDM 2023: 222-230 - [i9]Zhendong Chu, Hongning Wang:
Meta-Reinforcement Learning via Exploratory Task Clustering. CoRR abs/2302.07958 (2023) - [i8]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 abs/2310.16790 (2023) - [i7]Zhendong Chu, Nan Wang, Hongning Wang:
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems. CoRR abs/2310.20109 (2023) - 2022
- [i6]Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu:
Meta Policy Learning for Cold-Start Conversational Recommendation. CoRR abs/2205.11788 (2022) - [i5]Ye Gao, Zhendong Chu, Hongning Wang, John A. Stankovic:
MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation. CoRR abs/2211.03144 (2022) - 2021
- [c4]Zhendong Chu, Jing Ma, Hongning Wang:
Learning from Crowds by Modeling Common Confusions. AAAI 2021: 5832-5840 - [c3]Zhendong Chu, Hongning Wang:
Improve Learning from Crowds via Generative Augmentation. KDD 2021: 167-175 - [i4]Zhendong Chu, Hongning Wang:
Improve Learning from Crowds via Generative Augmentation. CoRR abs/2107.10449 (2021) - 2020
- [i3]Zhendong Chu, Haiyun Jiang, Yanghua Xiao, Wei Wang:
InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction. CoRR abs/2012.09370 (2020) - [i2]Zhendong Chu, Jing Ma, Hongning Wang:
Learning from Crowds by Modeling Common Confusions. CoRR abs/2012.13052 (2020)
2010 – 2019
- 2019
- [c2]Zhendong Chu, Renqin Cai, Hongning Wang:
Accounting for Temporal Dynamics in Document Streams. CIKM 2019: 1813-1822 - [c1]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: 1706-1709 - [i1]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 abs/1902.10326 (2019)
Coauthor Index
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