zhaoyang-chu Goto Github PK

🌟🌟 I will be in Vienna, Austria in September for ISSTA 2024! Hope to meet many of you there! 🤗🤗

🔭 I am a second-year master’s student in the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST), under the guidance of Prof. Yao Wan.

✨ I am currently seeking a PhD position in SE/ML for Fall 2025. For an overview of my academic background, please look at my CV. If you are interested, please feel free to contact me: [email protected] | [email protected].

😄 My research interest focuses on the intersection of software engineering and machine learning, where I am particularly intrigued by code intelligence, trustworthy artificial intelligence, and graph neural networks.

• Personal Page: https://zhaoyang-chu.github.io (updated recently🔥)
• Twitter: https://twitter.com/zhaoyang_c68411
• LinkedIn: https://www.linkedin.com/in/zhaoyang-chu-ab3536306
• Google Scholar: https://scholar.google.com/citations?user=HYu3DyEAAAAJ
• Blog: https://blog.csdn.net/qq_44009891?spm=1000.2115.3001.5343

• 2024.03: 🎉 Our latest research on counterfactual reasoning for GNN-based vulnerability detection has been accepted by ISSTA 2024!
• 2022.09: 🎉 One paper is published in Information Sciences!

My full paper list is shown on my personal homepage.

• ISSTA 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.
• Information Sciences 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*.