Zhen Peng

33 papers A* 6A 1Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Estimating Node Abnormalities From Imprecise Subgraph-Level Supervision.
IEEE Trans. Netw. Sci. Eng.
Zhen Peng, Yunqi Xue, Yunfan Wang, Qika Lin, Chao Shen
2025 J jnl
A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning.
CoRR
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
2025 J jnl
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models.
CoRR
Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng
2025 A* conf
Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection.
ACM Multimedia
Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong
2025 J jnl
Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection.
CoRR
Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong
2025 J jnl
End-to-End Abnormal Subgraph Detection via Subgraph-Level Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Peng, Yunfan Wang, Qika Lin, Bin Shi, Chen Chen, Bo Dong, Chao Shen
2025 J jnl
Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey.
Inf. Fusion
Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
2025 A* conf
Out-of-Distribution Generalization on Graphs via Progressive Inference.
AAAI
Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen
2025 J jnl
Out-of-Distribution Generalization on Graphs via Progressive Inference.
CoRR
Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen
2025 A* conf
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective.
AAAI
Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen
2025 J jnl
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective.
CoRR
Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen
2025 — conf
Self-Supervised Continual Graph Learning via Adaptive Spaced Replay on Node Proxies.
KDD (2)
Zhen Peng, Xu Hua, Jingchen Hao, Qika Lin, Bo Dong, Chao Shen
2025 — conf
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models.
ACL (1)
Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng
2025 J jnl
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models.
CoRR
Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng
2025 A conf
Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning.
ECAI
Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong
2025 J jnl
Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning.
CoRR
Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong
2025 J jnl
When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute.
Neural Networks
Zhen Peng, Yunfan Wang, Qika Lin, Bo Dong, Chao Shen
2024 J jnl
Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey.
CoRR
Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
2024 J jnl
Learning dynamic graph representations through timespan view contrasts.
Neural Networks
Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong
2023 A* conf
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract).
ICDE
Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng
2023 J jnl
Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks.
IEEE Trans. Knowl. Data Eng.
Qinghua Zheng, Zhen Peng, Zhuohang Dang, Linchao Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2023 J jnl
Heterogeneous graph attention network with motif clique.
Neurocomputing
Chenxu Wang, Minnan Luo, Zhen Peng, Yixiang Dong, Huaping Liu
2023 J jnl
Learning Representations by Graphical Mutual Information Estimation and Maximization.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang
2022 J jnl
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks.
IEEE Trans. Knowl. Data Eng.
Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng
2022 J jnl
A new self-supervised task on graphs: Geodesic distance prediction.
Inf. Sci.
Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng
2020 J jnl
An anomaly detection framework for time-evolving attributed networks.
Neurocomputing
Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu
2020 A* conf
Graph Representation Learning via Graphical Mutual Information Maximization.
WWW
Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
2020 J jnl
Graph Representation Learning via Graphical Mutual Information Maximization.
CoRR
Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
2020 J jnl
Nonlinear feature selection on attributed networks.
Neurocomputing
Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng
2020 J jnl
Self-Supervised Graph Representation Learning via Global Context Prediction.
CoRR
Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng
2019 — conf
Anomaly Detection in Time-Evolving Attributed Networks.
DASFAA (3)
Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu
2019 — conf
Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.
DASFAA (1)
Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng
2018 A* conf
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.
IJCAI
Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng