Chunping Wang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 23

Top Topics

Graph Representation

Top Venues

IEEE Trans. Knowl. Data Eng.

IEEE Signal Process. Lett.

Publications

Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang
Towards Fair Graph Federated Learning via Incentive Mechanisms. AAAI (2024)
Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns. AAAI (2024)
Huiying Wang, Chunping Wang, Qiang Fu, Dongdong Zhang, Renke Kou, Ying Yu, Jian Song
Cross-Modal Oriented Object Detection of UAV Aerial Images Based on Image Feature. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Dongdong Zhang, Chunping Wang, Qiang Fu
Efficient Camouflaged Object Detection via Progressive Refinement Network. IEEE Signal Process. Lett. 31 (2024)
Hanyang Yuan, Jiarong Xu, Cong Wang, Ziqi Yang, Chunping Wang, Keting Yin, Yang Yang
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data. CoRR (2024)
Linfeng Cao, Haoran Deng, Yang Yang, Chunping Wang, Lei Chen
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph. WWW (2024)
Linfeng Cao, Haoran Deng, Chunping Wang, Lei Chen, Yang Yang
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph. CoRR (2024)
Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, Chunping Wang
NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang
When to Pre-Train Graph Neural Networks? From Data Generation Perspective! KDD (2023)
Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang
DropMessage: Unifying Random Dropping for Graph Neural Networks. AAAI (2023)
Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks. CoRR (2023)
Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection. CoRR (2022)
Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection. NeurIPS (2022)
Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang
DropMessage: Unifying Random Dropping for Graph Neural Networks. CoRR (2022)
Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network. IJCAI (2022)
Jiarong Xu, Yang Yang, Chunping Wang, Zongtao Liu, Jing Zhang, Lei Chen, Jiangang Lu
Robust Network Enhancement From Flawed Networks. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs. AAAI (2022)
Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun
Unsupervised Adversarially Robust Representation Learning on Graphs. AAAI (2022)
Taoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang
Prompt Tuning for Graph Neural Networks. CoRR (2022)
Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Yang Yang, Chunping Wang, Jiangang Lu
Query-free Black-box Adversarial Attacks on Graphs. CoRR (2020)
Jiarong Xu, Junru Chen, Yang Yang, Yizhou Sun, Chunping Wang, Jiangang Lu
Unsupervised Adversarially-Robust Representation Learning on Graphs. CoRR (2020)
Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu
Understanding Default Behavior in Online Lending. CIKM (2019)
Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang
Learning Fair Representations via an Adversarial Framework. CoRR (2019)
Minhua Chen, Jorge G. Silva, John W. Paisley, Chunping Wang, David B. Dunson, Lawrence Carin
Corrections to "Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds". IEEE Trans. Signal Process. 59 (3) (2011)
Chunping Wang, Xuejun Liao, Lawrence Carin, David B. Dunson
Classification with Incomplete Data Using Dirichlet Process Priors. J. Mach. Learn. Res. 11 (2010)
Minhua Chen, Jorge G. Silva, John W. Paisley, Chunping Wang, David B. Dunson, Lawrence Carin
Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds. IEEE Trans. Signal Process. 58 (12) (2010)
Chunping Wang, Qi An, Lawrence Carin, David B. Dunson
Multi-task classification with infinite local experts. ICASSP (2009)
Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin, David B. Dunson
Hierarchical kernel stick-breaking process for multi-task image analysis. ICML (2008)
David Williams, Chunping Wang, Xuejun Liao, Lawrence Carin
Classification of Unexploded Ordnance Using Incomplete Multisensor Multiresolution Data. IEEE Trans. Geosci. Remote. Sens. 45 (7-2) (2007)