Accounting for Temporal Dynamics in Document Streams. - Zhendong Chu; Renqin Cai; Hongning Wang (CIKM, 2019)

CN-Probase: A Data-Driven Approach for Large-Scale Chinese Taxonomy Construction. - Jindong Chen; Ao Wang; Jiangjie Chen; Yanghua Xiao; Zhendong Chu; Jingping Liu; Jiaqing Liang; Wei Wang 009 (ICDE, 2019)

InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction. - Zhendong Chu; Haiyun Jiang; Yanghua Xiao; Wei Wang 009 (CoRR, 2020)

Learning from Crowds by Modeling Common Confusions. - Zhendong Chu; Jing Ma 002; Hongning Wang (AAAI, 2021)

Improve Learning from Crowds via Generative Augmentation. - Zhendong Chu; Hongning Wang (KDD, 2021)

MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation. - Ye Gao; Zhendong Chu; Hongning Wang; John A. Stankovic (CoRR, 2022)

Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems. - Zhendong Chu; Nan Wang; Hongning Wang (NeurIPS, 2023)

Meta Policy Learning for Cold-Start Conversational Recommendation. - Zhendong Chu; Hongning Wang; Yun Xiao; Bo Long; Lingfei Wu 001 (WSDM, 2023)

Meta-Reinforcement Learning via Exploratory Task Clustering. - Zhendong Chu; Hongning Wang (CoRR, 2023)

Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. - Zhendong Chu; Ruiyi Zhang 002; Tong Yu 001; Rajiv Jain; Vlad I. Morariu; Jiuxiang Gu; Ani Nenkova (CoRR, 2023)

Meta-Reinforcement Learning via Exploratory Task Clustering. - Zhendong Chu; Renqin Cai; Hongning Wang (AAAI, 2024)

Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. - Zhendong Chu; Ruiyi Zhang 002; Tong Yu 001; Rajiv Jain; Vlad I. Morariu; Jiuxiang Gu; Ani Nenkova (NAACL-HLT (Findings), 2024)

Improve Temporal Awareness of LLMs for Sequential Recommendation. - Zhendong Chu; Zichao Wang 001; Ruiyi Zhang 002; Yangfeng Ji; Hongning Wang; Tong Sun 005 (CoRR, 2024)

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. - Yibo Yan; Shen Wang 005; Jiahao Huo; Hang Li 007; Boyan Li; Jiamin Su; Xiong Gao; Yifan Zhang 004; Tianlong Xu; Zhendong Chu; Aoxiao Zhong; Kun Wang 042; et al. (CoRR, 2024)

Blending Two Styles: Generating Inter-domain Images with MiddleGAN. - Collin MacDonald; Zhendong Chu; John A. Stankovic; Huajie Shao; Gang Zhou; Ashley Gao (Trans. Mach. Learn. Res., 2024)

AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction. - Tianlong Xu; Yifan Zhang 004; Zhendong Chu; Shen Wang 005; Qingsong Wen (AAAI, 2025)

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning. - Yibo Yan; Shen Wang 005; Jiahao Huo; Jingheng Ye; Zhendong Chu; Xuming Hu; Philip S. Yu; Carla P. Gomes; Bart Selman; Qingsong Wen (CoRR, 2025)

LLM Agents for Education: Advances and Applications. - Zhendong Chu; Shen Wang 005; Jian Xie; Tinghui Zhu; Yibo Yan; Jinheng Ye; Aoxiao Zhong; Xuming Hu; Jing Liang 008; Philip S. Yu; Qingsong Wen (CoRR, 2025)

UniEDU: A Unified Language and Vision Assistant for Education Applications. - Zhendong Chu; Jian Xie; Shen Wang 005; Zichao Wang 001; Qingsong Wen (CoRR, 2025)