Qian Li

papers

719

total citations

papers (12)

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving

CVPR 2024arXiv

citations

Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series

ICLR 2025arXiv

citations

Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition

CVPR 2023arXiv

citations

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

AAAI 2024

citations

Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training

CVPR 2024arXiv

citations

Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval

ICML 2024arXiv

citations

Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming

ICLR 2025

citations

N2GON: Neural Networks for Graph-of-Net with Position Awareness

ICML 2025

citations

Hilbert Sinkhorn Divergence for Optimal Transport

CVPR 2021

citations

Qian Li

papers (12)

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

AFEC: Active Forgetting of Negative Transfer in Continual Learning

CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving

Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series

Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training

Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval

Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming

N2GON: Neural Networks for Graph-of-Net with Position Awareness

Hilbert Sinkhorn Divergence for Optimal Transport

papers (12)

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

AFEC: Active Forgetting of Negative Transfer in Continual Learning

CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving

Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series

Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training

Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval

Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming

N2GON: Neural Networks for Graph-of-Net with Position Awareness

Hilbert Sinkhorn Divergence for Optimal Transport