Lequan Yu

19

Papers

239

Total Citations

Papers (19)

Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

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

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

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

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification

L2B: Learning to Bootstrap Robust Models for Combating Label Noise

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

PU-Net: Point Cloud Upsampling Network

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

Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning

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

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

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

You Should Look at All Objects

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

Variational Polya Tree

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

Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation