Ye Li
19 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (3) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🏃 Academic Marathon (5)
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Cross-Pollinator
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Conference Polyglot
(8)
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(76)
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(8)
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(15)
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The Questioner
Conferences
AAAI (6)
ICLR (3)
CVPR (2)
IJCAI (2)
NIPS (2)
ACL (1)
ICCV (1)
ICML (1)
MICCAI (1)
Top co-authors
Keywords
transfer learning
(3)
graph neural network
(3)
neural network optimization
(3)
partial differential equation
(2)
neural network
(2)
physics-informed neural network
(2)
model security
(1)
few-shot learning
(1)
stochastic gradient descent
(1)
self-supervised learning
(1)
medical imaging
(1)
preference optimization
(1)
multimodal learning
(1)
multi-label classification
(1)
style transfer
(1)
adversarial learning
(1)
3d scene understanding
(1)
face recognition
(1)
graph representation
(1)
scene understanding
(1)
Papers
Beyond Surface Features: Advancing Medical Vision-Language Alignment via Dynamic Evidence-Guided Preference Optimization
ACL 2026
Mass Concept Erasure in Diffusion Models with Concept Hierarchy
AAAI 2026
Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency
AAAI 2026
DGSAN: Dual-Graph Spatiotemporal Attention Network for Pulmonary Nodule Malignancy Prediction
AAAI 2026
UniDrive: Towards Universal Driving Perception Across Camera Configurations
ICLR 2025
Improving Generalization of Deep Neural Networks by Optimum Shifting
AAAI 2025
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
CVPR 2025
OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding
ICCV 2025
Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video
ICLR 2025
Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks
ICML 2025
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations
IJCAI 2025
Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals
MICCAI 2025
Component Fourier Neural Operator for Singularly Perturbed Differential Equations
AAAI 2024
Is Your LiDAR Placement Optimized for 3D Scene Understanding?
NIPS 2024
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations
IJCAI 2024
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks
AAAI 2023
DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer
CVPR 2023
Redundancy-Free Message Passing for Graph Neural Networks
NIPS 2022
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
ICLR 2021