Chunping Wang
18 papers · 2010–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (15) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
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Cross-Pollinator
(5)
πΊοΈ
Taxonomy Completionist
(42)
π
Conference Polyglot
(7)
π€
Dynamic Duo
(13)
π
Grand Slam
π
Century Club
(18)
β‘
Prolific Year
(6)
π
Trend Setter
β
The Questioner
ποΈ
Keyword Collector
(78)
Conferences
AAAI (7)
NIPS (6)
ICCV (1)
ICLR (1)
ICML (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
graph neural network
(10)
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)
knowledge distillation
(1)
scene graph generation
(1)
model aggregation
(1)
graph classification
(1)
adversarial robustness
(1)
message passing
(1)
non-parametric bayesian
(1)
mutual information
(1)
variational bayesian
(1)
Papers
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
ICLR 2025
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing
ICML 2025
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
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
NIPS 2024
$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
NIPS 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms
AAAI 2024
Extracting Training Data from Molecular Pre-trained Models
NIPS 2024
Universal Prompt Tuning for Graph Neural Networks
NIPS 2023
Compositional Feature Augmentation for Unbiased Scene Graph Generation
ICCV 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
NIPS 2023
DropMessage: Unifying Random Dropping for Graph Neural Networks
AAAI 2023
Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views
AAAI 2023
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
NIPS 2022
Unsupervised Adversarially Robust Representation Learning on Graphs
AAAI 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
AAAI 2022
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
IJCAI 2022
Classification with Incomplete Data Using Dirichlet Process Priors
JMLR 2010