张鸽
讲师 硕士生导师
【个人简介】
张鸽博士，yl8858永利集团硕士生导师。2024年毕业于澳大利亚麦考瑞大学 (Macquarie University) ，获计算机科学博士学位。 研究兴趣包括图机器学习算法、大语言模型、可信人工智能等，已在相关领域权威学术会议和期刊上发表多篇代表性成果。2024年入选“上海市白玉兰人才计划浦江专项”。2022年获“Microsoft Research PhD Fellowship Award (微软学者奖)”，同年全球仅有36位计算机相关专业博士生获此奖项。2021年获数据挖掘顶级会议ICDM “Best Student Paper Award (最佳学生论文奖)”。
个人主页：https://gezhangmq.github.io/
【科研项目】
【1】上海市白玉兰人才计划浦江专项(A类)，主持，在研
【2】中央高校自由探索项目，主持，在研
【代表性论文，*为通讯作者】
【1】Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang, Hao Peng, Xixun Lin. Learning Subgraph-based Normality for Interpretable Graph-level Anomaly Detection. IEEE Transactions on Information Forensics & Security (TIFS), 2026. (CCF A类，中科院一区TOP)
【2】Ge Zhang, Jiapei Chen, Guohao Sun, Xiu Fang, Zhenyu Yang, Xixun Lin and Liang Yang. Generalizable Graph-level Anomaly Detection via Prompted Anomaly Expansion and Normality Extraction. International World Wide Web Conference (WWW), 2026. (CCF A类)
【3】Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang.Enhancing Graph Neural Networks for Out-of-distribution Graph Detection.IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2025. (中科院一区TOP)
【4】Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang*. CINA: Curvature-based Integrated Network Alignment with Hypergraph. IEEE International Conference on Data Engineering (ICDE), 2024. (CCF A类)
【5】Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Leman Akoglu, Charu Aggarwal. Dual-discriminative Graph Neural Networks for Imbalanced Graph-level Anomaly Detection. Conference on Neural Information Processing Systems (NeurIPS), 2022. (CCF A类)
【6】Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou and Jian Yang. eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. ACM Transactions on Information Systems (TOIS), 2022.(CCF A类)
【7】Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Chuan Zhou, Quan Z. Sheng. FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. IEEE International Conference on Data Mining (ICDM), 2021. (CCF B类) 获最佳学生论文奖
【8】Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Francoise Fogelman Soulie and Xin Huang. Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized Topic. Huang. International Joint Conference on Artificial and Intelligence (IJCAI), 2018. (CCF A类)
【9】Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti and Jia Wu. Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning. International World Wide Web Conference (WWW), 2026. (CCF A类)
【10】Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Hao Peng. Learning from Graph-Graph Relationship: A New Perspective on Graph-level Anomaly Detection. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025. (CCF A类，中科院一区TOP)
【11】Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng,Global Interpretable Graph-level Anomaly Detection Via Prototype, SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. (CCF A类)
【12】Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, and Pietro Liò. State of the Art and Potentialities of Graph-level Learning. ACM Computing Surveys, 2024. (中科院一区TOP)
【13】Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su. Minimum Entropy Principle Guided Graph Neural Networks. ACM Conference on Web Search and Data Mining (WSDM), 2023. (CCF B类)
【14】Zhenyu Yang, Chaoyu Yang, Wenfeng Xu, Xiuxiu Hao, Huan Wang, Ge Zhang, Xiaoxiao Ma and Jun Shen. Semi-Supervised Fake News Detection with Mixture of Experts. International World Wide Web Conference (WWW), 2026. (CCF A类)
【15】Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu. Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. International World Wide Web Conference (WWW), 2025. (CCF A类)
【16】Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Francoise Fogelman Soulie and Xin Huang. Detecting Communities with Multiplex Semantics by Distinguishing Background, General and Specialized Topics. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. (CCF A类，中科院一区TOP)
【讲授课程】
《自然语言处理》(上海市重点建设课程)
【获得荣誉】
【1】2024年12月，上海市浦江人才，颁发单位：上海市人才工作局
【2】2024年6月，校长奖，颁发单位：澳大利亚麦考瑞大学
【3】2022年10月：微软学者奖 (Microsoft Research PhD Fellowship Award), 颁发单位：微软
【4】2021年12月：最佳学生论文奖，颁发单位：IEEE International Conference on Data Mining
【联系方式】
邮箱：gezhang@dhu.edu.cn