Qiyu Kang
16 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
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Keywords
graph neural network
(8)
adversarial attack
(2)
adversarial defense
(2)
neural network
(2)
lyapunov stability
(2)
neural ordinary differential equation
(2)
hyperbolic embedding
(2)
neural differential equation
(2)
adversarial robustness
(2)
multimodal learning
(2)
manifold learning
(2)
fractional differential equation
(2)
pose estimation
(2)
node classification
(2)
3d vision
(1)
cross-modal learning
(1)
point cloud
(1)
autonomous driving
(1)
link prediction
(1)
hamming distance
(1)
Papers
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
AAAI 2025
Neural Variable-Order Fractional Differential Equation Networks
AAAI 2025
Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs
CVPR 2025
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
AAAI 2024
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
AAAI 2024
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
AAAI 2024
Distributed-Order Fractional Graph Operating Network
NIPS 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
ICLR 2024
Graph Neural Convection-Diffusion with Heterophily
IJCAI 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
NIPS 2023
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
AAAI 2023
HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
CVPR 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
ICML 2023
On the Robustness of Graph Neural Diffusion to Topology Perturbations
NIPS 2022
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
NIPS 2021
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks
AAAI 2021