Lequan Yu

FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI AAAI 2026 PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning AAAI 2026 Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation CVPR 2026 Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma MICCAI 2025 C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis ICCV 2025 Cross-Modal Alignment via Variational Copula Modelling ICML 2025 CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis ACL 2025 DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction IJCAI 2025 Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning AAAI 2025 From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics ICLR 2025 From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining ICML 2025 HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis MICCAI 2025 Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting AAAI 2025 MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport MICCAI 2025 Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring MICCAI 2024 Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference AAAI 2024 cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process ECCV 2024 Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement NeurIPS 2024 HERGen: Elevating Radiology Report Generation with Longitudinal Data ECCV 2024 L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024 Memory-Efficient Prompt Tuning for Incremental Histopathology Classification AAAI 2024 ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction MICCAI 2024 Relabeling Minimal Training Subset to Flip a Prediction EACL 2024 Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining MICCAI 2024 Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NeurIPS 2023 ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis ICCV 2023 Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning CVPR 2023 IDRNet: Intervention-Driven Relation Network for Semantic Segmentation NeurIPS 2023 MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery CVPR 2023 MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis AAAI 2023 Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation CVPR 2023 CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning CVPR 2022 H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis AAAI 2022 Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning NeurIPS 2022 You Should Look at All Objects ECCV 2022 3D semi-supervised learning with uncertainty-aware multi-view co-training WACV 2020 Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization ECCV 2020 Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation AAAI 2020 EC-Net: an Edge-aware Point set Consolidation Network ECCV 2018 PU-Net: Point Cloud Upsampling Network CVPR 2018 DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation CVPR 2016