Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity. - Zhaoyang Chu; Shichao Liu 002; Wen Zhang 008 (CoRR, 2022)

Hierarchical graph representation learning for the prediction of drug-target binding affinity. - Zhaoyang Chu; Feng Huang 004; Haitao Fu; Yuan Quan; Xionghui Zhou; Shichao Liu 002; Wen Zhang 008 (Inf. Sci., 2022)

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. - Zhaoyang Chu; Yao Wan 001; Qian Li 003; Yang Wu 010; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Hai Jin 001 (ISSTA, 2024)

Can Large Language Models Serve as Evaluators for Code Summarization? - Yang Wu 010; Yao Wan 001; Zhaoyang Chu; Wenting Zhao 006; Ye Liu 006; Hongyu Zhang 002; Xuanhua Shi; Philip S. Yu (CoRR, 2024)

TESTEVAL: Benchmarking Large Language Models for Test Case Generation. - Wenhan Wang; Chenyuan Yang; Zhijie Wang 014; Yuheng Huang 004; Zhaoyang Chu; Da Song; Lingming Zhang; An Ran Chen; Lei Ma 003 (NAACL (Findings), 2025)

How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. - Zhangqian Bi; Yao Wan 001; Zhaoyang Chu; Yufei Hu; Junyi Zhang; Hongyu Zhang 002; Guandong Xu; Hai Jin 001 (SANER, 2025)

CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale. - Chenlong Wang; Zhaoyang Chu; Zhengxiang Cheng; Xuyi Yang; Kaiyue Qiu; Yao Wan 001; Zhou Zhao 001; Xuanhua Shi; Dongping Chen (CoRR, 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 001 (CoRR, 2025)