Manning Wang
16 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(58)
Top co-authors
Research topics
Machine Learning
(11)
Computer Vision
(10)
Deep Learning
(8)
Learning Types Β· Machine Learning
(8)
Domain-Specific
(6)
Learning Types Β· Deep Learning
(5)
Architectures
(4)
Core Methods
(4)
Healthcare & Medicine
(3)
Analysis
(3)
Application Areas
(3)
Clinical
(2)
Artificial Intelligence
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
whole slide image
(6)
multiple instance learning
(4)
point cloud registration
(3)
weakly supervised learning
(3)
few-shot learning
(2)
attention mechanism
(2)
knowledge distillation
(2)
medical imaging
(2)
feature extraction
(1)
image classification
(1)
self-supervised learning
(1)
medical image segmentation
(1)
multi-task learning
(1)
image fusion
(1)
test-time adaptation
(1)
graph matching
(1)
3d vision
(1)
unsupervised domain adaptation
(1)
multi-instance learning
(1)
vision transformer
(1)
Papers
Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning
ICML 2025
Dual Focus-Attention Transformer for Robust Point Cloud Registration
CVPR 2025
Flow-MIL: Constructing Highly-expressive Latent Feature Space For Whole Slide Image Classification Using Normalizing Flow
ICCV 2025
Knowledge-guided Multi-scale Graph Mamba for Whole Slide Image Classification
MICCAI 2025
Vector-Quantization-Driven Active Learning for Efficient Multi-Modal Medical Segmentation with Cross-Modal Assistance
MICCAI 2025
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
NeurIPS 2024
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification
AAAI 2024
Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification
ICCV 2023
PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration
ICCV 2023
Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation
AAAI 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
NeurIPS 2023
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
NeurIPS 2022
PointCLM: A Contrastive Learning-Based Framework for Multi-Instance Point Cloud Registration
ECCV 2022
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning
AAAI 2022
Robust Point Cloud Registration Framework Based on Deep Graph Matching
CVPR 2021
Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search
ECCV 2018