Le Lu

54 papers · 2006–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (68) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (9) 🏃 Academic Marathon (19) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) 🤝 Dynamic Duo (20) 🏆 Keyword Champion 👥 Mega-Team (25) 🌱 Topic Pioneer 🔬 Deep Specialist (20) 🧬 Topic Evolution 🏆 Grand Slam 💎 Century Club (53) 🗃️ Keyword Collector (176) 🔥 Unstoppable (6) ⚡ Prolific Year (16) 📈 Trend Setter 🚀 Conference Pioneer

Conferences

CVPR (15) MICCAI (15) ICCV (6) ECCV (5) AAAI (4) ICLR (3) ACL (2) EMNLP (1) ICML (1) JMLR (1) NIPS (1)

Top co-authors

Ke Yan (21) Dakai Jin (19) Ling Zhang (13) Xianghua Ye (13) Minfeng Xu (11) Jing Xiao (10) Adam P. Harrison (9) Yirui Wang (8) Dazhou Guo (7) Tony C. W. Mok (6)

Keywords

medical imaging (16) contrastive learning (5) computed tomography (5) medical image segmentation (5) semantic segmentation (4) self-supervised learning (4) vision-language model (3) chest x-ray (3) semi-supervised learning (2) recurrent neural network (2) 3d segmentation (2) image segmentation (2) convolutional neural network (2) representation learning (2) attention mechanism (2) multi-modal learning (2) object detection (2) knowledge distillation (2) neural architecture search (2) deep convolutional neural network (2)

Papers

MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification AAAI 2026

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding ICLR 2025

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers ICLR 2025

Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings ACL 2025

Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models ACL 2025

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration MICCAI 2025

Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts MICCAI 2025

Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation MICCAI 2025

Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion MICCAI 2025

Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT MICCAI 2025

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning MICCAI 2025

Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba for End-to-end Whole Slide Image Analysis ICCV 2025

nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark CVPR 2025

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans MICCAI 2025

Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans AAAI 2025

Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training ICCV 2025

HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss ICCV 2025

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data CVPR 2024

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models CVPR 2024

Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration CVPR 2024

From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning ICML 2024

Improved Esophageal Varices Assessment from Non-Contrast CT Scans MICCAI 2024

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images MICCAI 2024

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans MICCAI 2024

A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation MICCAI 2024

Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer ECCV 2024

Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding EMNLP 2024

Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning MICCAI 2024

Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion MICCAI 2024

Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation MICCAI 2024

LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning MICCAI 2024

Boosting Vanilla Lightweight Vision Transformers via Re-parameterization ICLR 2024

Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans ICCV 2023

Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization CVPR 2023

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans ICCV 2023

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis ICCV 2023

Localized Adversarial Domain Generalization CVPR 2022

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation AAAI 2022

Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation AAAI 2021

Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization CVPR 2021

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies CVPR 2021

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management CVPR 2021

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation ECCV 2020

Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search CVPR 2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images ECCV 2020

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans ECCV 2020

Structured Landmark Detection via Topology-Adapting Deep Graph Learning ECCV 2020

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays CVPR 2018

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database CVPR 2018

ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases CVPR 2017

Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation CVPR 2016

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation JMLR 2016

Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database CVPR 2015

Dynamic Foreground/Background Extraction from Images and Videos using Random Patches NIPS 2006