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Wee Peng Tay

23 papers · 2021–2026 · 8 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

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (52) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ† Grand Slam
πŸ”¬ Deep Specialist (12) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (111) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze

Venues

AAAI (8) NeurIPS (4) ICML (3) CVPR (2) ICLR (2) IJCAI (2) ICCV (1) UAI (1)

Top co-authors

Qiyu Kang (16) KAI ZHAO (14) Yang Song (11) Sijie Wang (11) Rui She (9) Feng Ji (7) Xuhao Li (4) Yanan Zhao (4) Wenfei Liang (3) Qinxu Ding (3)

Research topics

Deep Learning (20) Machine Learning (19) Architectures (17) Core Methods (11) Artificial Intelligence (8) Core AI (8) Learning Types Β· Deep Learning (8) Optimization & Theory Β· Machine Learning (8) Computer Vision (5) Analysis (5) Application Areas (3) Domain-Specific (3) Learning Types Β· Machine Learning (3) Optimization & Theory Β· Deep Learning (3) Techniques (2)

Keywords

graph neural network (11) node classification (5) multimodal perception (2) lyapunov stability (2) representation learning (2) fractional-order differential equation (2) adversarial defense (2) adversarial robustness (2) manifold learning (2) pose estimation (2) adversarial attack (2) hyperbolic embedding (2) neural network (2) fractional differential equation (2) neural differential equation (2) fractional calculus (2) conformal prediction (2) neural ordinary differential equation (2) multimodal learning (2) non-markovian random walk (2)

Papers

Conformal Prediction for Multi-Source Detection on a Network AAAI 2026 Contrastive Conformal Sets UAI 2026 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 Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features ICLR 2025 UAVScenes: A Multi-Modal Dataset for UAVs ICCV 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 Graph Neural Networks with a Distribution of Parametrized Graphs ICML 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 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 RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments AAAI 2023 On the Robustness of Graph Neural Diffusion to Topology Perturbations NeurIPS 2022 SGAT: Simplicial Graph Attention Network IJCAI 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