ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. - Zhen Peng 005; Minnan Luo; Jundong Li; Huan Liu 001; Qinghua Zheng (IJCAI, 2018)

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search. - Zhen Peng 005; Minnan Luo; Jundong Li; Chen Chen 022; Qinghua Zheng (DASFAA (1), 2019)

Anomaly Detection in Time-Evolving Attributed Networks. - Luguo Xue; Minnan Luo; Zhen Peng 005; Jundong Li; Yan Chen 031; Jun Liu 002 (DASFAA (3), 2019)

Graph Representation Learning via Graphical Mutual Information Maximization. - Zhen Peng 005; Wenbing Huang 001; Minnan Luo; Qinghua Zheng; Yu Rong 001; Tingyang Xu; Junzhou Huang (WWW, 2020)

Self-Supervised Graph Representation Learning via Global Context Prediction. - Zhen Peng 005; Yixiang Dong; Minnan Luo; Xiao-Ming Wu 003; Qinghua Zheng (CoRR, 2020)

Nonlinear feature selection on attributed networks. - Zhongping Lin; Minnan Luo; Zhen Peng 005; Jundong Li; Qinghua Zheng (Neurocomputing, 2020)

An anomaly detection framework for time-evolving attributed networks. - Luguo Xue; Yan Chen 031; Minnan Luo; Zhen Peng 005; Jun Liu 002 (Neurocomputing, 2020)

A new self-supervised task on graphs: Geodesic distance prediction. - Zhen Peng 005; Yixiang Dong; Minnan Luo; Xiao-Ming Wu 003; Qinghua Zheng (Inf. Sci., 2022)

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks. - Zhen Peng 005; Minnan Luo; Jundong Li; Luguo Xue; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2022)

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract). - Zhen Peng 005; Minnan Luo; Jundong Li; Luguo Xue; Qinghua Zheng (ICDE, 2023)

Learning Representations by Graphical Mutual Information Estimation and Maximization. - Zhen Peng 005; Minnan Luo; Wenbing Huang 001; Jundong Li; Qinghua Zheng; Fuchun Sun 001; Junzhou Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks. - Qinghua Zheng; Zhen Peng 005; Zhuohang Dang; Linchao Zhu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011 (IEEE Trans. Knowl. Data Eng., 2023)

Heterogeneous graph attention network with motif clique. - Chenxu Wang 003; Minnan Luo; Zhen Peng 005; Yixiang Dong; Huaping Liu 001 (Neurocomputing, 2023)

Learning dynamic graph representations through timespan view contrasts. - Yiming Xu 001; Zhen Peng 005; Bin Shi; Xu Hua; Bo Dong 001 (Neural Networks, 2024)

Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. - Yiming Xu 001; Zhen Peng 005; Bin Shi; Xu Hua; Bo Dong 001; Song Wang 013; Chen Chen 022 (AAAI, 2025)

Out-of-Distribution Generalization on Graphs via Progressive Inference. - Yiming Xu 001; Bin Shi; Zhen Peng 005; Huixiang Liu; Bo Dong 001; Chen Chen 022 (AAAI, 2025)

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. - Qika Lin; Tianzhe Zhao; Kai He 001; Zhen Peng 005; Fangzhi Xu; Ling Huang 003; Jingying Ma; Mengling Feng (ACL (1), 2025)

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. - Qika Lin; Yifan Zhu 001; Xin Mei; Ling Huang 003; Jingying Ma; Kai He 001; Zhen Peng 005; Erik Cambria; Mengling Feng (Inf. Fusion, 2025)

When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute. - Zhen Peng 005; Yunfan Wang; Qika Lin; Bo Dong 001; Chao Shen (Neural Networks, 2025)

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. - Qika Lin; Zhen Peng 005; Kaize Shi; Kai He 001; Yiming Xu 001; Erik Cambria; Mengling Feng (CoRR, 2025)

Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection. - Yiming Xu 001; Jiarun Chen; Zhen Peng 005; Zihan Chen; Qika Lin; Lan Ma; Bin Shi; Bo Dong 001 (CoRR, 2025)

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. - Yiming Xu 001; Xu Hua; Zhen Peng 005; Bin Shi; Jiarun Chen; Xingbo Fu; Song Wang 013; Bo Dong 001 (CoRR, 2025)