Zhaoyang Chu

According to our database, Zhaoyang Chu authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks.

Zhaoyang Chu, Jiarui Hu, Xingyu Jiang, Pengyu Zou, Han Li, Chao Peng, Peter W. O'Hearn, Earl T. Barr, Mark Harman, Federica Sarro, He Ye

CoRR, May, 2026

An Iterative Test-and-Repair Framework for Competitive Code Generation.

Lingxiao Tang, Muyang Ye, Zhaoyang Chu, Xiaoxue Ren, Zhongxin Liu, Lingfeng Bao, He Ye

CoRR, April, 2026

ContextBench: A Benchmark for Context Retrieval in Coding Agents.

Han Li, Letian Zhu, Bohan Zhang, Rili Feng, Jiaming Wang, Yue Pan, Earl T. Barr, Federica Sarro, Zhaoyang Chu, He Ye

CoRR, February, 2026

Adaptive step-size extragradient algorithm with variance reduction for solving mixed variational inequality problems.

Zhaoyang Chu, Hongwei Liu

Commun. Nonlinear Sci. Numer. Simul., 2026

ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution Reasoning.

Lingxiao Tang, He Ye, Zhaoyang Chu, Muyang Ye, Zhongxin Liu, Xiaoxue Ren, Lingfeng Bao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Can Large Language Models Serve as Evaluators for Code Summarization?

Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Hai Jin, Philip S. Yu

IEEE Trans. Software Eng., December, 2025

Bridging Code Graphs and Large Language Models for Better Code Understanding.

Zeqi Chen, Zhaoyang Chu, Yi Gui, Feng Guo, Yao Wan, Chuan Shi

CoRR, December, 2025

Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning.

Zhaoyang Chu, Yao Wan, Zhikun Zhang, Di Wang, Zhou Yang, Hongyu Zhang, Pan Zhou, Xuanhua Shi, Hai Jin, David Lo

CoRR, September, 2025

CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale.

Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu, Yao Wan, Zhou Zhao, Xuanhua Shi, Dongping Chen

CoRR, February, 2025

How to Select Pre-Trained Code Models for Reuse? A Learning Perspective.

Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin

Proceedings of the IEEE International Conference on Software Analysis, 2025

TESTEVAL: Benchmarking Large Language Models for Test Case Generation.

Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale.

Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu, Yao Wan, Zhou Zhao, Xuanhua Shi, Hai Jin, Dongping Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency.

Chenlong Wang, Yuanning Feng, Dongping Chen, Zhaoyang Chu, Ranjay Krishna, Tianyi Zhou

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

2024

Can Large Language Models Serve as Evaluators for Code Summarization?

Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu

CoRR, 2024

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation.

Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2022

Hierarchical graph representation learning for the prediction of drug-target binding affinity.

Zhaoyang Chu, Feng Huang, Haitao Fu, Yuan Quan, Xionghui Zhou, Shichao Liu, Wen Zhang

Inf. Sci., 2022

Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity.

Zhaoyang Chu, Shichao Liu, Wen Zhang

CoRR, 2022