E-Mail： zijiang@ustc.edu.cn
個人主頁： https://yangzijiangjames.github.io/
主要研究方向： 智能軟件
楊子江，現任計算機學院教授。本科畢業於中國科學技術大學，獲得萊斯大學碩士及賓夕法尼亞大學博士學位。曾任美國西密歇根大學教授及密歇根大學訪問教授。學術兼職包括IEEE國際電動與自動駕駛技術委員會共同主席、IEEE自動駕駛國際標準工作組副主席、2020-2024年IEEE國際自動駕駛軟件會議共同主席、2019年IEEE國際軟件測試及驗證大會共同主席、中國電動汽車百人會理事等。發表論文一百餘篇及二十餘項中、美專利。出版專著《自動駕駛係統開發》。
獲獎情況：
ACM SIGSOFT傑出論文獎
ACM TODAES最佳期刊論文獎
穀歌計算機科學Engagement獎。
十篇代表性論著：
1. Pan, Weifeng; Kessentini, Marouane; Ming, Hua; Yang, Zijiang. EASE: An effort-aware extension of unsupervised key class identification approaches. ACM Transactions on Software Engineering and Methodology (TOSEM), 2024. Volume 33, Issue 4, Article No.: 84, Pages 1 - 43. April 2024.
2. Hao, Kunkun and Cui, Wen and Luo, Yonggang and Xie, Lecheng and Bai, Yuqiao and Yang, Jucheng and Yan, Songyang and Pan, Yuxi and Yang, Zijiang，Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors，IEEE Transactions on Intelligent Vehicles, November 2023.
3. Y Zhou, Y Sun, Y Tang, Y Chen, J Sun, CM Poskitt, Y Liu, Z Yang, Specification-based Autonomous Driving System Testing, IEEE Transactions on Software Engineering PP(99):1-19, June 2023.
4. Weifeng Pan, Hua Ming, Dae-Kyoo Kim, and Zijiang Yang，Pride: Prioritizing Documentation Effort Based on a PageRank-Like Algorithm and Simple Filtering Rules，IEEE Transactions on Software Engineering (TSE), March 2023, pp. 1118-1151, vol. 49.
5. Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang, LayoutFormer++: Conditional Graphic Layout Generation via Constraint，Serialization and Decoding Space Restriction，Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2023).
6. Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang， LayoutPrompter: Awaken the Design Ability of Large Language Models， Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
7. X Zhang, W Zhao, Y Sun, J Sun, Y Shen, X Dong, Z Yang， Testing automated driving systems by breaking many laws efficiently， Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis(ISSTA)，July 2023.
8. Weifeng Pan, Xin Du, Hua Ming, Dae-Kyoo Kim, Zijiang Yang. Identifying Key Classes for Initial Software Comprehension: Can We Do It Better? Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE), 2023.
9. M. Fan, W. Wei, W. Jin, Z. Yang, T. Liu. Explanation-Guided Fairness Testing through Genetic Algorithm. IEEE International Conference on Software Engineering (ICSE), 2022.
10. Yang Sun, Christopher Poskitt, Jun Sun, Yuqi Chen, Zijiang Yang. LawBreaker: An Approach for Specifying Traffic Laws and Fuzzing Autonomous Vehicles. 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022.
【更新於2024年9月】
