彭祯  (ZHEN PENG）

博士  助理教授

硕士生导师

计算机科学与技术学院   

西安交通大学  电子与信息学部

陕西省大数据知识工程重点实验室

2025，西安交通大学优秀博士学位论文

2024，2023年度浙江省科学技术进步二等奖

2023，徐宗本应用数学论文奖一等奖

2023，西安交通大学青年优秀人才支持计划

2021，国家奖学金

2021，腾讯奖学金（特等）

2020，国家公派研究生CSC

2019，优秀研究生论文奖

2017，西安交通大学优秀毕业生

2016，国家奖学金

2015，国家奖学金

2014，国家奖学金

西安交通大学青年优秀人才支持计划获得者，隶属于郑庆华院士团队：陕西省大数据知识工程重点实验室。主要从事图数据挖掘、表格数据学习、多模态学习、自监督学习等方面的研究工作，已在IEEE TPAMI、TKDE、KDD、WWW、IJCAI、AAAI等国际期刊与会议上发表论文二十余篇，曾担任IEEE TPAMI、TKDE、ICML、KDD、AAAI、CIKM等国际期刊与会议审稿人，主持国家自然科学基金青年项目，中国博士后科学基金面上项目等，参与国家自然科学基金重点项目、国家自然科学基金专项项目、CCF-蚂蚁科研基金项目等多项研究课题。截止目前，Google Scholar 引用千余次。

研究方向：图数据挖掘、表格数据学习、多模态学习、自监督学习。

招生信息：

硕士：招收计算机、软件、人工智能等方向的硕士生。

2017.09 - 2023.03   西安交通大学，计算机科学与技术，工学博士（导师：郑庆华  中国工程院院士）
2021.10 - 2022.10   新加坡南洋理工大学，计算机科学与工程学院SCSE，联合培养博士生
2013.09 - 2017.06   西安交通大学，软件工程，工学学士

2020.12 - 2021.06   实习，蚂蚁金服金融机器智能中心，杭州，中国

2019.04 - 2019.08   实习，腾讯AI Lab机器学习中心，深圳，中国

2023.04 - 至今   西安交通大学，计算机科学与技术学院，助理教授

• Zhen Peng, Yunqi Xue, Yunfan Wang, Qika Lin, Chao Shen. Estimating Node Abnormalities From Imprecise Subgraph-Level Supervision. IEEE Transactions on Network Science and Engineering [TNSE], 2025. IF: 7.9 中科院数学跨学科应用子类1区
• Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong. Text-Attributed Graph Anomaly Detection via Cross-Modal and Uni-Modal Multi-scale Contrastive Learning. In Proceedings of the 28th European Conference on Artificial Intelligence [ECAI], 2025. CCF-B
• Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong. Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection. In Proceedings of the 33rd ACM International Conference on Multimedia [MM], 2025. CCF-A
• Zhen Peng, Xu Hua, Jingchen Hao, Qika Lin, Bo Dong, Chao Shen. Self-Supervised Continual Graph Learning via Adaptive Spaced Replay on Node Proxies. In Proceedings of the SIGKDD Conference on Knowledge Discovery and Data Mining [KDD], 2025. CCF-A
• Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng. Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics [ACL main], 2025. CCF-A
• Zhen Peng, Yunfan Wang, Qika Lin, Bin Shi, Chen Chen, Bo Dong, Chao Shen. End-to-End Abnormal Subgraph Detection via Subgraph-Level Contrastive Learning. IEEE Transactions on Neural Networks and Learning Systems [TNNLS], 2025. 中科院1区 CCF-B
• Qinghua Zheng, Huan Liu, Xiaoqing Zhang, Caixia Yan, Xiangyong Cao, Tieliang Gong, Yong-Jin Liu, Bin Shi, Zhen Peng, Xiaocen Fan, Ying Cai, Jun Liu. Machine Memory Intelligence: Inspired by Human Memory Mechanisms. Engineering, 2025. IF: 10.1 中科院1区 中国工程院院刊
• Zhen Peng, Yunfan Wang, Qika Lin, Bo Dong, Chao Shen. When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute. Neural Networks, 2025: 107194. 中科院1区 CCF-B
• Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen. Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. In Proceedings of the 39th AAAI Conference on Artificial Intelligence [AAAI], 2025. CCF-A
• Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen. Out-of-Distribution Generalization on Graphs via Progressive Inference. In Proceedings of the 39th AAAI Conference on Artificial Intelligence [AAAI], 2025. CCF-A
• Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng. Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. Information Fusion, 2024: 102795. IF: 14.8 中科院1区
• Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong. Learning Dynamic Graph Representations through Timespan View Contrasts. Neural Networks, 2024, 176: 106384. 中科院1区 CCF-B
• Chenxu Wang, Minnan Luo, Zhen Peng, Yixiang Dong, Huaping Liu. Heterogeneous Graph Attention Network with Motif Clique. Neurocomputing, 2023, 555: 126608. CCF-C
• Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng. A Deep Multi-View Framework for Anomaly Detection on Attributed Networks. In Proceedings of the 39th IEEE International Conference on Data Engineering [ICDE] TKDE Poster Track, 2023. CCF-A
• Qinghua Zheng, Zhen Peng, Zhuohang Dang, Linchao Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou. Deep Tabular Data Modeling with Dual-Route Structure-Adaptive Graph Networks. IEEE Transactions on Knowledge and Data Engineering [TKDE], 2023, 35(9): 9715-9727. CCF-A
• Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang. Learning Representations by Graphical Mutual Information Estimation and Maximization. IEEE Transactions on Pattern Analysis and Machine Intelligence [TPAMI], 2022, 45(1): 722-737. CCF-A
• Zhen Peng^*, Yixiang Dong^*, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng. A New Self-Supervised Task on Graphs: Geodesic Distance Prediction. Information Sciences, 2022, 607: 1195-1210. 中科院1区 CCF-B
• Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang. Graph Representation Learning via Graphical Mutual Information Maximization. In Proceedings of The Web Conference 2020 [WWW], 2020, 259-270. CCF-A
• Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng. A Deep Multi-View Framework for Anomaly Detection on Attributed Networks. IEEE Transactions on Knowledge and Data Engineering [TKDE], 2020, 34(06): 2539-2552. CCF-A
• Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng. Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search. In Proceedings of the 24th International Conference on Database Systems for Advanced Applications [DASFAA], 2019, 571-586. CCF-B
• Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng. ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. In Proceedings of the 27th International Joint Conference on Artificial Intelligence [IJCAI], 2018, 3513-3519. CCF-A
• Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu. An Anomaly Detection Framework for Time-Evolving Attributed Networks. Neurocomputing, 2020, 407: 39-49. CCF-C
• Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng. Nonlinear Feature Selection on Attributed Networks. Neurocomputing, 2020, 410: 161-173. CCF-C
• Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu. Anomaly Detection in Time-Evolving Attributed Networks. In Proceedings of the 24th International Conference on Database Systems for Advanced Applications [DASFAA], 2019, 235-239. CCF-B
• Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng. Semi-Supervised Nonlinear Feature Selection on Attributed Networks. In Proceedings of 2019 2nd China Symposium on Cognitive Computing and Hybrid Intelligence [CCHI], 2019, 30-35.