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2020 – today
- 2025
[j2]Tianlong Xu, Yifan Zhang, Zhendong Chu, Qingsong Wen:
Multimodal AI Teacher: Integrating Edge Computing and Reasoning Models for Enhanced Student Error Analysis. AI Mag. 46(3) (2025)- [c11]Tianlong Xu, Yifan 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. AAAI 2025: 28801-28809 - [c10]Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen:
UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks. EMNLP (Industry Track) 2025: 1007-1016 - [c9]Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen:
LLM Agents for Education: Advances and Applications. EMNLP (Findings) 2025: 13782-13810 - [i16]Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen:
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning. CoRR abs/2502.02871 (2025) - [i15]Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen:
LLM Agents for Education: Advances and Applications. CoRR abs/2503.11733 (2025) - [i14]Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen:
UniEDU: A Unified Language and Vision Assistant for Education Applications. CoRR abs/2503.20701 (2025) - [i13]Jian Xie, Zhendong Chu, Aoxiao Zhong, Kaiyi Zhang, Mingzhe Han, Xing Fan, Jialie Shen, Qingsong Wen:
ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code. CoRR abs/2510.08163 (2025) - 2024
- [j1]Collin MacDonald, Zhendong Chu, John A. Stankovic, Huajie Shao, Gang Zhou, Ashley Gao:
Blending Two Styles: Generating Inter-domain Images with MiddleGAN. Trans. Mach. Learn. Res. 2024 (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 - [i12]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) - [i11]Tianlong Xu, Yifan 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) - [i10]Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen:
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR abs/2410.04509 (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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