Lequan Yu

papers

862

total citations

papers (19)

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

NEURIPS 2022arXiv

225

citations

Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

ECCV 2020arXiv

223

citations

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation

CVPR 2023arXiv

157

citations

Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning

CVPR 2023arXiv

citations

MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery

CVPR 2023arXiv

citations

You Should Look at All Objects

ECCV 2022arXiv

citations

ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis

ICCV 2023arXiv

citations

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation

NEURIPS 2023arXiv

citations

Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting

AAAI 2025arXiv

citations

Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations

NEURIPS 2023arXiv

citations

Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference

AAAI 2024

citations

Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning

AAAI 2025arXiv

citations

Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process

NEURIPS 2025arXiv

citations

Variational Polya Tree

NEURIPS 2025arXiv

citations

C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis

ICCV 2025

citations

CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning

CVPR 2022

citations

Lequan Yu

papers (19)

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation

Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning

MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery

You Should Look at All Objects

ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation

Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting

L2B: Learning to Bootstrap Robust Models for Combating Label Noise

cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification

Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations

Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference

Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning

Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process

Variational Polya Tree

C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis

CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning

papers (19)

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation

Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning

MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery

You Should Look at All Objects

ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation

Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting

L2B: Learning to Bootstrap Robust Models for Combating Label Noise

cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification

Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations

Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference

Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning

Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process

Variational Polya Tree

C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis

CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning