Yuanzhou Chen

According to our database, Yuanzhou Chen authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

TaoBench: Do Automated Theorem Prover LLMs Generalize Beyond MathLib?

Alexander K. Taylor, Junyi Zhang, Ethan Ji, Vigyan Sahai, Haikang Deng, Yuanzhou Chen, Yifan Yuan, Di Wu, Jia-Chen Gu, Kai-Wei Chang, Nanyun Peng, Amit Sahai, Wei Wang

CoRR, March, 2026

2025

CORGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation.

Ethan Ji, Yuanzhou Chen, Arush Ramteke, Fang Sun, Tianrun Yu, Jai Parera, Wei Wang, Yizhou Sun

CoRR, November, 2025

Diversified Sampling Improves Scaling LLM inference.

Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen, Xiang Zhang, Wei Cheng

CoRR, February, 2025

Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection.

Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Neural Network Pruning for Invariance Learning.

Derek Xu, Yuanzhou Chen, Yizhou Sun, Wei Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors.

Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Improving Logits-based Detector without Logits from Black-box LLMs.

Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu

CoRR, 2024

DALD: Improving Logits-based Detector without Logits from Black-box LLMs.

Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling.

Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.

Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun

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

2023

TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems.

Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang

CoRR, 2023

Benign Overfitting for Two-layer ReLU Networks.

Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu

CoRR, 2023

Benign Overfitting in Two-layer ReLU Convolutional Neural Networks.

Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu

Proceedings of the International Conference on Machine Learning, 2023

2022

On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs.

Yuanzhou Chen, Jiafan He, Quanquan Gu

Proceedings of the International Conference on Machine Learning, 2022

2021

Monocular Visual Analysis for Electronic Line Calling of Tennis Games.

Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan

Proceedings of the Image and Graphics - 11th International Conference, 2021