Ge Zhang 张鸽
Lecturer
School of Computer Science and Technology
Donghua University
Shanghai, China
[Google Scholar]
Email: gezhang [at] dhu.edu.cn
BIOGRAPHY
Ge Zhang, Ph.D., is a lecturer at the College of Information and Intelligent Science, Donghua University, and a recipient of the Shanghai Pujiang Talent Program. She earned her Ph.D. in Computer Science from Macquarie University, Australia, in 2024, and was awarded the Microsoft Research PhD Fellowship Award in 2022 (the only recipient in the Australia & New Zealand region that year). Her research interests include Anomaly Detection and Large Language Models. Prospective graduate or undergraduate students with an interest in the above research topics are welcome to join her team.
PROJECTS
1. 上海市白玉兰人才计划浦江项目（A类），主持，在研
2. 中央高校自由探索项目，主持，在研
PUBLICATIONS
Unsupervised Graph-Level Anomaly Detection via Multi-granular Graph Structure Learning Ge Zhang, Huimei Li, Guohao Sun, Fang Xiu, Xixun Lin, Xiaobao Wang, Pengfei Jiao, Liang Yang International Joint Conference on Artificial Intelligence (IJCAI), 2026
Learning Subgraph-based Normality for Interpretable Graph-level Anomaly Detection Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang, Hao Peng, Xixun Lin IEEE Transactions on Information Forensics & Security (TIFS), 2026
Generalizable Graph-level Anomaly Detection via Prompted Anomaly Expansion and Normality Extraction Ge Zhang, Jiapei Chen, Guohao Sun, Xiu Fang, Zhenyu Yang, Xixun Lin, Liang Yang International World Wide Web Conference (WWW), 2026
Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu International World Wide Web Conference (WWW), 2026
Semi-Supervised Fake News Detection with Mixture of Experts Zhenyu Yang, Chaoyu Yang, Wenfeng Xu, Xiuxiu Hao, Huan Wang, Ge Zhang, Xiaoxiao Ma, Jun Shen International World Wide Web Conference (WWW), 2026
Community-Aware Graph Contrastive Learning for Long-Tail Crowdsourcing Truth Inference Xiu Fang, Heting Liang,Yuqiong Yi, Xinwei Huang, Guohao Sun, Ge Zhang* (corresponding author) International Conference on Database Systems for Advanced Applications (DASFAA), 2026
EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment Yixuan Nan, Xixun Lin, Yanmin Shang, Ge Zhang, Zheng Fang, Fang Fang, Yanan Cao Annual Meeting of the Association for Computational Linguistics (ACL), 2026
Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations Yilong Liu, Xixun Lin, Pengfei Cao, Ge Zhang, Fang Fang, Yanan Cao Annual Meeting of the Association for Computational Linguistics (ACL), 2026
AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification Xixun Lin, Zhiheng Zhou, Zhengyin Zhang, Yancheng Chen, Shuai Zhang, Ge Zhang, Shichao Zhu, Lixin Zou, Chuan Zhou, Peng Zhang, Shirui Pan, Yanan Cao SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026
Enhancing Graph Neural Networks for Out-of-distribution Graph Detection Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2025
Learning from Graph-Graph Relationship: A New Perspective on Graph-level Anomaly Detection Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Hao Peng IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Global Interpretable Graph-level Anomaly Detection Via Prototype Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu International World Wide Web Conference (WWW), 2025
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
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 [PDF]
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 [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 [PDF]
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang ACM Transactions on Information Systems (TOIS), 40(3), pp.1-29, 2022 [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 Acceptance Rate: 9.9%, Best Student Paper Award [PDF]
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized Topic Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Francoise Fogelman Soulie, Xin Huang International Joint Conference on Artificial and Intelligence (IJCAI), 2018 [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, Xin Huang IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(11), pp. 2144-2158, 2019 [PDF]
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang, Jia Wu, Jian Yang, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal arXiv:2205.15555, 2022 [PDF]
AWARDS
Awardee of the Shanghai Pujiang Talent Program Shanghai Municipal Talent Affairs Bureau, 2025
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]
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]