Lequan Yu
40 papers · 2016–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (12) π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(68)
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(7)
ποΈ
Keyword Collector
(137)
π
Century Club
(38)
β‘
Prolific Year
(7)
π
Conference Pioneer
π₯
Unstoppable
(5)
Conferences
AAAI (9)
CVPR (7)
MICCAI (6)
ECCV (5)
NIPS (4)
ICCV (2)
ICML (2)
ACL (1)
EACL (1)
ICLR (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
whole slide image
(7)
medical imaging
(6)
representation learning
(5)
graph neural network
(5)
multiple instance learning
(4)
image segmentation
(3)
medical image segmentation
(3)
continual learning
(2)
cross-modal alignment
(2)
feature enhancement
(2)
multi-task learning
(2)
contrastive learning
(2)
semi-supervised learning
(2)
pseudo label
(2)
3d reconstruction
(2)
feature representation
(2)
cross-modal learning
(2)
image classification
(2)
knowledge distillation
(2)
diffusion model
(2)
Papers
PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning
AAAI 2026
FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI
AAAI 2026
DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction
IJCAI 2025
Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting
AAAI 2025
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning
AAAI 2025
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis
ACL 2025
MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport
MICCAI 2025
HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis
MICCAI 2025
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
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
Cross-Modal Alignment via Variational Copula Modelling
ICML 2025
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring
MICCAI 2024
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
MICCAI 2024
ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction
MICCAI 2024
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference
AAAI 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
AAAI 2024
HERGen: Elevating Radiology Report Generation with Longitudinal Data
ECCV 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
NIPS 2024
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
ECCV 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
Relabeling Minimal Training Subset to Flip a Prediction
EACL 2024
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
NIPS 2023
Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning
CVPR 2023
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
CVPR 2023
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
CVPR 2023
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
ICCV 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
NIPS 2023
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis
AAAI 2023
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
NIPS 2022
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis
AAAI 2022
CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning
CVPR 2022
You Should Look at All Objects
ECCV 2022
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
ECCV 2020
3D semi-supervised learning with uncertainty-aware multi-view co-training
WACV 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