Zhen Peng

According to our database, Zhen Peng authored at least 28 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Generalist Graph Anomaly Detection via Prototype-Based Distillation.

Yiming Xu, Zihan Chen, Zhen Peng, Song Wang, Bin Shi, Bo Dong, Chao Shen

CoRR, May, 2026

Estimating Node Abnormalities From Imprecise Subgraph-Level Supervision.

Zhen Peng, Yunqi Xue, Yunfan Wang, Qika Lin, Chao Shen

IEEE Trans. Netw. Sci. Eng., 2026

Revisiting weakly supervised tabular anomaly detection from a cell-level perspective.

Jiahui Wang, Zhen Peng, Xujing Jia, Qika Lin, Lan Ma, Bin Shi

Neural Networks, 2026

2025

End-to-End Abnormal Subgraph Detection via Subgraph-Level Contrastive Learning.

Zhen Peng, Yunfan Wang, Qika Lin, Bin Shi, Chen Chen, Bo Dong, Chao Shen

IEEE Trans. Neural Networks Learn. Syst., October, 2025

A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning.

Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng

CoRR, September, 2025

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models.

Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng

CoRR, February, 2025

When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute.

Zhen Peng, Yunfan Wang, Qika Lin, Bo Dong, Chao Shen

Neural Networks, 2025

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey.

Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng

Inf. Fusion, 2025

Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection.

Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Self-Supervised Continual Graph Learning via Adaptive Spaced Replay on Node Proxies.

Zhen Peng, Xu Hua, Jingchen Hao, Qika Lin, Bo Dong, Chao Shen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning.

Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models.

Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Out-of-Distribution Generalization on Graphs via Progressive Inference.

Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective.

Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning dynamic graph representations through timespan view contrasts.

Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong

Neural Networks, 2024

2023

Heterogeneous graph attention network with motif clique.

Chenxu Wang, Minnan Luo, Zhen Peng, Yixiang Dong, Huaping Liu

Neurocomputing, October, 2023

Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks.

Qinghua Zheng, Zhen Peng, Zhuohang Dang, Linchao Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou

IEEE Trans. Knowl. Data Eng., September, 2023

Learning Representations by Graphical Mutual Information Estimation and Maximization.

Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract).

Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks.

Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng

IEEE Trans. Knowl. Data Eng., 2022

A new self-supervised task on graphs: Geodesic distance prediction.

Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng

Inf. Sci., 2022

2020

An anomaly detection framework for time-evolving attributed networks.

Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu

Neurocomputing, 2020

Nonlinear feature selection on attributed networks.

Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng

Neurocomputing, 2020

Self-Supervised Graph Representation Learning via Global Context Prediction.

Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng

CoRR, 2020

Graph Representation Learning via Graphical Mutual Information Maximization.

Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Anomaly Detection in Time-Evolving Attributed Networks.

Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu

Proceedings of the Database Systems for Advanced Applications, 2019

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.

Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng

Proceedings of the Database Systems for Advanced Applications, 2019

2018

ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.

Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018