Ge Zhang 张鸽
Lecturer
School of Computer Science and Technology
Donghua University
Shanghai, China
Email: gezhang [at] dhu.edu.cn
BIOGRAPHY
Ge Zhang is a lecturer at the School of Computer Science and Technology, Donghua University. She completed her Ph.D. at the School of Computing, Macquarie University in 2024. During her Ph.D. studies, she was honored as one of the 2022 Microsoft Research PhD Fellows, being the sole recipient of this prestigious award from Australia and New Zealand in 2022. Her research focuses on AI-safety, Graph Nueral Networks and Anomaly Detection.
张鸽博士，东华大学计算机科学与技术学院讲师。2024年于澳大利亚Macquarie University (麦考瑞大学) 获得博士学位。在攻读博士期间，荣获2022年Microsoft Research Phd Fellowship Award (微软学者奖)，成为当年澳大利亚和新西兰地区唯一获得此奖项的博士生。研究主要集中在人工智能安全、图机器学习算法，以及异常检测等应用领域。目前已在中国计算机协会(CCF)推荐A类以及B类期刊/会议上发表多篇论文，包括NeurIPS, ICDE, IJCAI等国际会议。欢迎对以上研究感兴趣的准研究生或本科生加入。
PUBLICATIONS
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Liò. ACM Computing Surveys (CSUR), 2024 SCI 1区，影响因子23.8 [PDF]
CINA: Curvature-based Integrated Network Alignment with Hypergraph Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang (corresponding author) IEEE International Conference on Data Engineering (ICDE), 2024 CCF A类
Minimum Entropy Principle Guided Graph Neural Networks Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su. ACM Conference on Web Search and Data Mining (WSDM), 2023 CCF B类 [PDF]
Graph Neural Networks for Imbalanced Graph-level Anomaly Detection Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu Aggarwal. Conference on Neural Information Processing Systems (NeurIPS), 2022 CCF A类 [PDF]
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou and Jian Yang ACM Transactions on Information Systems (TOIS), 40(3), pp.1-29, 2022 CCF A类 [PDF]
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Chuan Zhou, Quan Z. Sheng IEEE International Conference on Data Minging (ICDM), 2021 CCF B类 Acceptance Rate: 9.9%, Best Student Paper Award 最佳学生论文奖 [PDF]
Detecting Communities with Multiplex Semantics by Distinguishing Background, General and Specialized Topics Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Francoise Fogelman Soulie and Xin Huang IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(11), pp. 2144-2158, 2019 CCF A类 [PDF]
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized Topic Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Francoise Fogelman Soulie and Xin Huang International Joint Conference on Artificial and Intelligence (IJCAI), 2018 CCF A类 [PDF]
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang, Jia Wu, Jian Yang, Chuan Zhou, Hao Peng, Quan Z. Sheng, and Charu Aggarwal arXiv:2205.15555, 2022 [PDF]
AWARDS
Vice-Chancellor’s Commendation for Academic Excellence Macquarie University, 2024
Faculty Excellence Award (Excellence in HDR Student Award Highly Commended) Faculty of Science and Engineering, Macquarie University, 2022
Microsoft Research PhD Fellowship Award Microsoft Research, 2022. [Link 获奖新闻]
NeurIPS Scholar Award NeurIPS, 2022.
Higher Degree Research Rising Star Award School of Computing, Faculty of Science and Engineering, Macquarie University, 2022.
Best Student Paper Award IEEE ICDM, 2021. [Link 获奖新闻]