Chunping Wang

Orcid: 0000-0002-3841-1919

Affiliations:
  • Army Engineering University of PLA, Shijiazhuang, China
  • PPDai Group Inc, Shanghai, China
  • Duke University, Department of Electrical & Computer Engineering, Durham, NC, USA


According to our database1, Chunping Wang authored at least 47 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Enhancing Building Segmentation With Shadow-Aware Edge Perception.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
Cross-Modal Oriented Object Detection of UAV Aerial Images Based on Image Feature.
IEEE Trans. Geosci. Remote. Sens., 2024

MCGC: A Multiscale Chain Growth Clustering Algorithm for Generating Infrared Small Target Mask Under Single-Point Supervision.
IEEE Trans. Geosci. Remote. Sens., 2024

YOLOFIV: Object Detection Algorithm for Around-the-Clock Aerial Remote Sensing Images by Fusing Infrared and Visible Features.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Efficient Camouflaged Object Detection via Progressive Refinement Network.
IEEE Signal Process. Lett., 2024

Graph semantic information for self-supervised monocular depth estimation.
Pattern Recognit., 2024

HazyDet: Open-source Benchmark for Drone-view Object Detection with Depth-cues in Hazy Scenes.
CoRR, 2024

Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph.
Proceedings of the ACM on Web Conference 2024, 2024

Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Design of Human-computer Interaction System for Infrared Small Target Detection.
Proceedings of the 7th International Conference on Image and Graphics Processing, 2024

D2ETR: A Decoupled DETR for Efficient Detection in Aerial Images.
Proceedings of the 7th International Conference on Image and Graphics Processing, 2024

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Fair Graph Federated Learning via Incentive Mechanisms.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Infrared small target segmentation networks: A survey.
Pattern Recognit., November, 2023

A unified network embedding algorithm for multi-type similarity measures.
AI Open, January, 2023

NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., 2023

Time2Graph+: Bridging Time Series and Graph Representation Learning via Multiple Attentions.
IEEE Trans. Knowl. Data Eng., 2023

LW-IRSTNet: Lightweight Infrared Small Target Segmentation Network and Application Deployment.
IEEE Trans. Geosci. Remote. Sens., 2023

Infrared Small Target Tracking Algorithm via Segmentation Network and Multistrategy Fusion.
IEEE Trans. Geosci. Remote. Sens., 2023

OFCOS: An Oriented Anchor-Free Detector for Ship Detection in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2023

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DropMessage: Unifying Random Dropping for Graph Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Robust Network Enhancement From Flawed Networks.
IEEE Trans. Knowl. Data Eng., 2022

Network Embedding via Motifs.
ACM Trans. Knowl. Discov. Data, 2022

Infrared Small Target Detection Based on the Improved Density Peak Global Search and Human Visual Local Contrast Mechanism.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

DD-Net: A Dual Detector Network for Multilevel Object Detection in Remote-Sensing Images.
J. Sensors, 2022

Prompt Tuning for Graph Neural Networks.
CoRR, 2022

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection.
CoRR, 2022

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Unsupervised Adversarially Robust Representation Learning on Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Novel Pattern for Infrared Small Target Detection With Generative Adversarial Network.
IEEE Trans. Geosci. Remote. Sens., 2021

Financial Fraud Detection on Micro-credit Loan Scenario via Fuller Location Information Embedding.
Proceedings of the Companion of The Web Conference 2021, 2021

2020
An over-regression suppression method to discriminate occluded objects of same category.
Pattern Anal. Appl., 2020

Query-free Black-box Adversarial Attacks on Graphs.
CoRR, 2020

Unsupervised Adversarially-Robust Representation Learning on Graphs.
CoRR, 2020

2019
Learning Fair Representations via an Adversarial Framework.
CoRR, 2019

Understanding Default Behavior in Online Lending.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2011
Corrections to "Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds".
IEEE Trans. Signal Process., 2011

2010
Non-parametric Bayesian Learning with Incomplete Data.
PhD thesis, 2010

Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds.
IEEE Trans. Signal Process., 2010

Classification with Incomplete Data Using Dirichlet Process Priors.
J. Mach. Learn. Res., 2010

2009
Multi-task classification with infinite local experts.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Hierarchical kernel stick-breaking process for multi-task image analysis.
Proceedings of the Machine Learning, 2008

2007
Classification of Unexploded Ordnance Using Incomplete Multisensor Multiresolution Data.
IEEE Trans. Geosci. Remote. Sens., 2007


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