Zhaoyang Chu

According to our database, Zhaoyang Chu authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

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

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

CoRR, June, 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

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