Liansheng Wang
32 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (7) π Academic Marathon (5) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (43)
π
Academic Marathon
(5)
πΊοΈ
Taxonomy Completionist
(43)
π
Interdisciplinary Bridge
π₯
Mega-Team
(125)
β
The Questioner
π₯
Unstoppable
(6)
π
Century Club
(29)
ποΈ
Keyword Collector
(84)
π
Conference Pioneer
β‘
Prolific Year
(12)
Conferences
MICCAI (15)
AAAI (11)
CVPR (3)
ECCV (1)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
medical imaging
(5)
whole slide image
(5)
multiple instance learning
(4)
representation learning
(4)
medical image segmentation
(3)
graph neural network
(3)
self-supervised learning
(2)
contrastive learning
(2)
brain tumor segmentation
(2)
vision-language model
(2)
atlas-based segmentation
(2)
semantic segmentation
(1)
multi-instance learning
(1)
data augmentation
(1)
reinforcement learning
(1)
causal inference
(1)
domain adaptation
(1)
semantic matching
(1)
transfer learning
(1)
fine-grained classification
(1)
Papers
FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI
AAAI 2026
Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification
AAAI 2026
CRAF: A Clinical Reasoning-Adaptive Framework via Reinforcement Learning for Similar Case Retrieval
AAAI 2026
A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging
MICCAI 2025
Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation
MICCAI 2025
Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation
MICCAI 2025
Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning
MICCAI 2025
RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
MICCAI 2025
Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation
MICCAI 2025
Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images
MICCAI 2025
C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis
ICCV 2025
DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation
MICCAI 2025
Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction
MICCAI 2025
Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection
MICCAI 2025
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning
AAAI 2025
HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction
MICCAI 2024
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
AAAI 2024
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference
AAAI 2024
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
CVPR 2024
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring
MICCAI 2024
Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model
MICCAI 2024
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
MICCAI 2024
ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction
MICCAI 2024
Why Is the Winner the Best?
CVPR 2023
Advancing Radiograph Representation Learning with Masked Record Modeling
ICLR 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
AAAI 2023
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning
AAAI 2022
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis
AAAI 2022
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
AAAI 2022
Personalizing Federated Medical Image Segmentation via Local Calibration
ECCV 2022
Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective
AAAI 2021
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation
CVPR 2020