Chunping Wang
18 papers · 2010–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π€
Dynamic Duo
(13)
π¬
Deep Specialist
(10)
β‘
Prolific Year Β· Productive
β
The Questioner
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(88)
Top co-authors
Research topics
Machine Learning
(16)
Deep Learning
(14)
Architectures
(10)
Core Methods
(8)
Learning Types Β· Machine Learning
(8)
Application Areas
(7)
Artificial Intelligence
(6)
Learning Paradigms
(5)
Learning Types Β· Deep Learning
(5)
Computer Vision
(4)
Analysis
(3)
Data Science & Analytics
(2)
Methods
(2)
Models
(2)
Optimization & Theory
(2)
Keywords
graph neural network
(11)
transfer learning
(3)
graph representation learning
(3)
downstream task
(2)
adversarial attack
(2)
fraud detection
(2)
node classification
(2)
dirichlet process
(1)
few-shot learning
(1)
privacy attack
(1)
graph anomaly detection
(1)
attention mechanism
(1)
graph classification
(1)
knowledge distillation
(1)
message passing
(1)
adversarial robustness
(1)
variational bayesian
(1)
graph representation
(1)
risk management
(1)
model aggregation
(1)
Papers
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing
ICML 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
ICLR 2025
Di^2Pose: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
NeurIPS 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
NeurIPS 2024
Extracting Training Data from Molecular Pre-trained Models
NeurIPS 2024
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
AAAI 2024
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
AAAI 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms
AAAI 2024
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
NeurIPS 2023
Compositional Feature Augmentation for Unbiased Scene Graph Generation
ICCV 2023
DropMessage: Unifying Random Dropping for Graph Neural Networks
AAAI 2023
Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views
AAAI 2023
Universal Prompt Tuning for Graph Neural Networks
NeurIPS 2023
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
IJCAI 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
AAAI 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
NeurIPS 2022
Unsupervised Adversarially Robust Representation Learning on Graphs
AAAI 2022
Classification with Incomplete Data Using Dirichlet Process Priors
JMLR 2010