yongbing zhang
25 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (9) π Renaissance Researcher (8) πΊοΈ Taxonomy Completionist (40)
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(9)
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Academic Marathon
(6)
πΊοΈ
Taxonomy Completionist
(40)
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Dynamic Duo
(11)
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Unstoppable
(5)
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Century Club
(23)
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(84)
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Prolific Year
(7)
Conferences
AAAI (8)
MICCAI (5)
CVPR (4)
NIPS (3)
ICCV (1)
ICLR (1)
ICML (1)
MIDL (1)
NAACL (1)
Top co-authors
Research topics
Keywords
whole slide image
(5)
medical imaging
(5)
multiple instance learning
(4)
computational pathology
(3)
semantic segmentation
(2)
domain adaptation
(2)
weakly supervised learning
(2)
histopathological image
(2)
weakly-supervised learning
(2)
stain transfer
(2)
image translation
(2)
state space model
(2)
hyperspectral imaging
(2)
image classification
(2)
attention mechanism
(1)
domain generalization
(1)
self-supervised learning
(1)
optimal transport
(1)
self-attention mechanism
(1)
style transfer
(1)
Papers
Spectral Property-Driven Data Augmentation for Hyperspectral Single-Source Domain Generalization
AAAI 2026
PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology
AAAI 2026
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
CVPR 2025
OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer
AAAI 2025
Efficient Self-Supervised Video Hashing with Selective State Spaces
AAAI 2025
Category Prompt Mamba Network for Nuclei Segmentation and Classification
AAAI 2025
The Four Color Theorem for Cell Instance Segmentation
ICML 2025
Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction
MICCAI 2025
A Mixed-Language Multi-Document News Summarization Dataset and a Graphs-Based Extract-Generate Model
NAACL 2025
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation
MIDL 2024
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning
CVPR 2024
Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation
MICCAI 2024
Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining
MICCAI 2024
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
MICCAI 2024
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
MICCAI 2024
GS-Hider: Hiding Messages into 3D Gaussian Splatting
NIPS 2024
Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint
AAAI 2023
Accurate Image Restoration with Attention Retractable Transformer
ICLR 2023
LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image
ICCV 2023
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image
AAAI 2023
Cross Aggregation Transformer for Image Restoration
NIPS 2022
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
CVPR 2022
Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images
AAAI 2022
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
NIPS 2021
Second-Order Attention Network for Single Image Super-Resolution
CVPR 2019