Qiyu Kang
16 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (43) π Conference Polyglot Β· Silver π Keyword Champion (2) π Grand Slam
π€
Dynamic Duo
(16)
ποΈ
Keyword Collector
(81)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(15)
Machine Learning
(13)
Architectures
(13)
Artificial Intelligence
(7)
Core AI
(7)
Learning Types Β· Deep Learning
(7)
Core Methods
(6)
Optimization & Theory Β· Machine Learning
(6)
Computer Vision
(4)
Analysis
(4)
Learning Types Β· Machine Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Application Areas
(2)
Domain-Specific
(2)
Mathematics & Optimization
(1)
Keywords
graph neural network
(8)
node classification
(2)
neural ordinary differential equation
(2)
hyperbolic embedding
(2)
fractional-order differential equation
(2)
pose estimation
(2)
neural differential equation
(2)
lyapunov stability
(2)
adversarial robustness
(2)
multimodal learning
(2)
manifold learning
(2)
fractional differential equation
(2)
neural network
(2)
non-markovian random walk
(2)
fractional calculus
(2)
adversarial attack
(2)
adversarial defense
(2)
3d vision
(1)
cross-modal learning
(1)
point cloud
(1)
Papers
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
AAAI 2025
Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs
CVPR 2025
Neural Variable-Order Fractional Differential Equation Networks
AAAI 2025
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
NeurIPS 2024
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
AAAI 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
ICLR 2024
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
NeurIPS 2023
Graph Neural Convection-Diffusion with Heterophily
IJCAI 2023
HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
CVPR 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
ICML 2023
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
AAAI 2023
On the Robustness of Graph Neural Diffusion to Topology Perturbations
NeurIPS 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
NeurIPS 2021