Zhendong Chu

According to our database, Zhendong Chu authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code.

Jian Xie, Zhendong Chu, Aoxiao Zhong, Kaiyi Zhang, Mingzhe Han, Xing Fan, Jialie Shen, Qingsong Wen

CoRR, October, 2025

UniEDU: A Unified Language and Vision Assistant for Education Applications.

Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen

CoRR, March, 2025

LLM Agents for Education: Advances and Applications.

Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen

CoRR, March, 2025

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning.

Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen

CoRR, February, 2025

Multimodal AI Teacher: Integrating Edge Computing and Reasoning Models for Enhanced Student Error Analysis.

Tianlong Xu, Yifan Zhang, Zhendong Chu, Qingsong Wen

AI Mag., 2025

UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks.

Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LLM Agents for Education: Advances and Applications.

Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction.

Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.

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

CoRR, 2024

Improve Temporal Awareness of LLMs for Sequential Recommendation.

Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun

CoRR, 2024

Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances.

Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Meta-Reinforcement Learning via Exploratory Task Clustering.

Zhendong Chu, Renqin Cai, Hongning Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances.

Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova

CoRR, 2023

Meta-Reinforcement Learning via Exploratory Task Clustering.

Zhendong Chu, Hongning Wang

CoRR, 2023

Meta Policy Learning for Cold-Start Conversational Recommendation.

Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems.

Zhendong Chu, Nan Wang, Hongning Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation.

Ye Gao, Zhendong Chu, Hongning Wang, John A. Stankovic

CoRR, 2022

2021

Improve Learning from Crowds via Generative Augmentation.

Zhendong Chu, Hongning Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning from Crowds by Modeling Common Confusions.

Zhendong Chu, Jing Ma, Hongning Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction.

Zhendong Chu, Haiyun Jiang, Yanghua Xiao, Wei Wang

CoRR, 2020

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

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Accounting for Temporal Dynamics in Document Streams.

Zhendong Chu, Renqin Cai, Hongning Wang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019