Yalin Wang
30 papers · 2013–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Keyword Pioneer
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Topic Evolution
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Dynamic Duo
(14)
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Keyword Champion
(2)
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(144)
Top co-authors
Research topics
Keywords
optimal transport
(6)
multiple instance learning
(3)
brain mapping
(2)
surface registration
(2)
ricci flow
(2)
retinal imaging
(2)
medical imaging
(2)
contrastive learning
(2)
catastrophic forgetting
(2)
transformer architecture
(2)
wasserstein distance
(2)
distribution alignment
(2)
image enhancement
(2)
fundus photography
(2)
domain adaptation
(2)
geometric deep learning
(2)
model compression
(2)
self-supervised learning
(2)
vision-language model
(2)
cortical surface
(2)
Papers
EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models
WACV 2026
LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding
CVPR 2026
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
WACV 2026
A Recipe for Geometry-Aware 3D Mesh Transformers
WACV 2025
Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
WACV 2025
Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
ICCV 2025
CUNSB-RFIE: Context-Aware Unpaired Neural Schrodinger Bridge in Retinal Fundus Image Enhancement
WACV 2025
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
ICML 2025
Flexi-FSCIL: Adaptive Knowledge Retention for Breaking the Stability-Plasticity Dilemma in Few-Shot Class-Incremental Learning
ICCV 2025
How Effective Can Dropout Be in Multiple Instance Learning ?
ICML 2025
Multimodal Variational Autoencoder: A Barycentric View
AAAI 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
AAAI 2025
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
ECCV 2024
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders
WACV 2024
OmniMotionGPT: Animal Motion Generation with Limited Data
CVPR 2024
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
MICCAI 2024
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
ICML 2024
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
WACV 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
NeurIPS 2023
Geometry-Aware Hierarchical Bayesian Learning on Manifolds
WACV 2022
Cortical Surface Shape Analysis Based on Alexandrov Polyhedra
ICCV 2021
Regularized Wasserstein Means for Aligning Distributional Data
AAAI 2020
Regularize, Expand and Compress: NonExpansive Continual Learning
WACV 2020
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices
IJCAI 2018
Variational Wasserstein Clustering
ECCV 2018
An Optimal Transportation Based Univariate Neuroimaging Index
ICCV 2017
Intrinsic 3D Dynamic Surface Tracking Based on Dynamic Ricci Flow and Teichmuller Map
ICCV 2017
Shape Analysis With Hyperbolic Wasserstein Distance
CVPR 2016
Area Preserving Brain Mapping
CVPR 2013
Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration
CVPR 2013