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ORCIDZhen Peng 0005
Person information
- affiliation (PhD 2023): Xi'an Jiaotong University, School of Computer Science and Technology, China
Other persons with the same name
- Zhen Peng — disambiguation page
- Zhen Peng 0001 — China University of Geosciences, School of Economics and Management, Beijing, China (and 3 more)
- Zhen Peng 0002
![[0000-0001-9907-017X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9907-017X")
— University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Champaign, IL, USA (and 3 more) - Zhen Peng 0003 — Huaqiao University, College of Computer Science and Technology, Xiamen, China
- Zhen Peng 0004 — University of Tübingen, Max Planck Institute for Biological Cybernetic, Germany
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2020 – today
- 2025
[j10]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. Inf. Fusion 116: 102795 (2025)- [j9]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 185: 107194 (2025) - [c7]Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen:
Out-of-Distribution Generalization on Graphs via Progressive Inference. AAAI 2025: 12963-12971 - [c6]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. AAAI 2025: 12972-12980 - [i6]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. CoRR abs/2501.18119 (2025) - [i5]Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng:
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. CoRR abs/2502.00681 (2025) - [i4]Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen:
Out-of-Distribution Generalization on Graphs via Progressive Inference. CoRR abs/2503.02988 (2025) - 2024
- [j8]Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong:
Learning dynamic graph representations through timespan view contrasts. Neural Networks 176: 106384 (2024) - [i3]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. CoRR abs/2408.12880 (2024) - 2023
- [j7]Chenxu Wang, Minnan Luo, Zhen Peng, Yixiang Dong, Huaping Liu:
Heterogeneous graph attention network with motif clique. Neurocomputing 555: 126608 (2023) - [j6]Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang:
Learning Representations by Graphical Mutual Information Estimation and Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 722-737 (2023) - [j5]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 Trans. Knowl. Data Eng. 35(9): 9715-9727 (2023) - [c5]Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng:
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract). ICDE 2023: 3799-3800 - 2022
- [j4]Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng:
A new self-supervised task on graphs: Geodesic distance prediction. Inf. Sci. 607: 1195-1210 (2022) - [j3]Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng:
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 34(6): 2539-2552 (2022) - 2020
- [j2]Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu:
An anomaly detection framework for time-evolving attributed networks. Neurocomputing 407: 39-49 (2020) - [j1]Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng:
Nonlinear feature selection on attributed networks. Neurocomputing 410: 161-173 (2020) - [c4]Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. WWW 2020: 259-270 - [i2]Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. CoRR abs/2002.01169 (2020) - [i1]Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng:
Self-Supervised Graph Representation Learning via Global Context Prediction. CoRR abs/2003.01604 (2020)
2010 – 2019
- 2019
- [c3]Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu:
Anomaly Detection in Time-Evolving Attributed Networks. DASFAA (3) 2019: 235-239 - [c2]Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng:
Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search. DASFAA (1) 2019: 571-586 - 2018
- [c1]Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng:
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. IJCAI 2018: 3513-3519
Coauthor Index
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