张鸽 讲师

发布者:丁宁发布时间:2024-08-30浏览次数:4274


张鸽

讲师, 硕士生导师

个人简介

 张鸽,博士,东华大学信息与智能科学学院硕士生导师。2024年6月毕业于澳大利亚麦考瑞大学Macquarie University,获计算机科学博士学位。 研究方向包括图机器学习、大语言模型等。获Microsoft Research PhD Fellowship Award (微软学者奖),数据挖掘顶级会议ICDM最佳学生论文奖。

科研项目

 国家自然科学基金青年项目(C类),主持

 上海市白玉兰人才计划浦江专项(A类),主持

 中央高校自由探索项目,主持

代表性论文,*代表通讯作者

[1] Zilin Li (东华本科生), Weiwei Xu, Xuchun Tong, Xuanbo Lu, Xuanqi Zhao, Ge Zhang*. Decentralized Coupled Representation Learning. Conference on Neural Information Processing Systems (NeurIPS), 2026. CCF A类

[2] 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. 中科院一区TOP,CCF A类

[3] 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

[4] Ge Zhang, Huimei Li, Guohao Sun, Fang Xiu, Xixun Lin, Xiaobao Wang, Pengfei Jiao, Liang Yang, Unsupervised Graph-Level Anomaly Detection via Multi-granular Graph Structure Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2026. CCF A类

[5] 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

[6] 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

[7] 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

[8] 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

[9] 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 Best Student Paper Award

[10] 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

获得荣誉

2024年12月,上海市浦江人才

2024年6月,澳大利亚麦考瑞大学校长奖

2022年10月,微软学者奖Microsoft Research PhD Fellowship Award

2021年12月,IEEE International Conference on Data Mining最佳学生论文奖

联系方式

邮箱:gezhang@dhu.edu.cn

个人主页:https://gezhangmq.github.io/