Wee Peng Tay
22 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
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(16)
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Conferences
AAAI (8)
NIPS (4)
ICML (3)
CVPR (2)
ICLR (2)
IJCAI (2)
ICCV (1)
Top co-authors
Keywords
graph neural network
(9)
node classification
(4)
multimodal learning
(2)
multi-modal perception
(2)
pose estimation
(2)
adversarial robustness
(2)
manifold learning
(2)
adversarial attack
(2)
neural differential equation
(2)
hyperbolic embedding
(2)
neural network
(2)
fractional differential equation
(2)
neural ordinary differential equation
(2)
adversarial defense
(2)
lyapunov stability
(2)
attention mechanism
(1)
object detection
(1)
point cloud registration
(1)
graph learning
(1)
feature learning
(1)
Papers
Conformal Prediction for Multi-Source Detection on a Network
AAAI 2026
UAVScenes: A Multi-Modal Dataset for UAVs
ICCV 2025
Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs
CVPR 2025
Neural Variable-Order Fractional Differential Equation Networks
AAAI 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
AAAI 2025
Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features
ICLR 2025
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
AAAI 2024
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
AAAI 2024
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
AAAI 2024
Distributed-Order Fractional Graph Operating Network
NIPS 2024
Graph Neural Networks with a Distribution of Parametrized Graphs
ICML 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
ICLR 2024
HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
CVPR 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
NIPS 2023
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
AAAI 2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
ICML 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
ICML 2023
Graph Neural Convection-Diffusion with Heterophily
IJCAI 2023
SGAT: Simplicial Graph Attention Network
IJCAI 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations
NIPS 2022
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks
AAAI 2021
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
NIPS 2021