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2020 – today
- 2025
[i5]Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin:
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. CoRR abs/2501.03783 (2025)- 2024
- [c1]Zhaoyang Chu
, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. ISSTA 2024: 389-401 - [i4]Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. CoRR abs/2404.15687 (2024) - [i3]Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma:
TESTEVAL: Benchmarking Large Language Models for Test Case Generation. CoRR abs/2406.04531 (2024) - [i2]Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu:
Can Large Language Models Serve as Evaluators for Code Summarization? CoRR abs/2412.01333 (2024) - 2022
- [j1]Zhaoyang Chu, Feng Huang, Haitao Fu, Yuan Quan, Xionghui Zhou, Shichao Liu, Wen Zhang:
Hierarchical graph representation learning for the prediction of drug-target binding affinity. Inf. Sci. 613: 507-523 (2022) - [i1]Zhaoyang Chu, Shichao Liu, Wen Zhang:
Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity. CoRR abs/2203.11458 (2022)
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