Yalin Wang
29 papers · 2013–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (7) π Academic Marathon (13) π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (45)
πΊοΈ
Taxonomy Completionist
(45)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(13)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(29)
π
Trend Setter
ποΈ
Keyword Collector
(125)
π₯
Unstoppable
(7)
β
The Questioner
Conferences
WACV (9)
ICCV (5)
CVPR (4)
AAAI (3)
ICML (3)
ECCV (2)
IJCAI (1)
MICCAI (1)
NIPS (1)
Top co-authors
Keywords
optimal transport
(6)
catastrophic forgetting
(2)
domain adaptation
(2)
distribution alignment
(2)
fundus photography
(2)
cortical surface
(2)
geometric deep learning
(2)
medical imaging
(2)
surface registration
(2)
transformer architecture
(2)
wasserstein distance
(2)
image enhancement
(2)
retinal imaging
(2)
brain mapping
(2)
ricci flow
(2)
contrastive learning
(2)
model compression
(2)
self-supervised learning
(2)
bayesian learning
(1)
variational inference
(1)
Papers
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
WACV 2026
EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models
WACV 2026
Multimodal Variational Autoencoder: A Barycentric View
AAAI 2025
Flexi-FSCIL: Adaptive Knowledge Retention for Breaking the Stability-Plasticity Dilemma in Few-Shot Class-Incremental Learning
ICCV 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
AAAI 2025
Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
ICCV 2025
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
ICML 2025
How Effective Can Dropout Be in Multiple Instance Learning ?
ICML 2025
A Recipe for Geometry-Aware 3D Mesh Transformers
WACV 2025
Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
WACV 2025
CUNSB-RFIE: Context-Aware Unpaired Neural Schrodinger Bridge in Retinal Fundus Image Enhancement
WACV 2025
OmniMotionGPT: Animal Motion Generation with Limited Data
CVPR 2024
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders
WACV 2024
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
ICML 2024
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
ECCV 2024
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
MICCAI 2024
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
NIPS 2023
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
WACV 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
Variational Wasserstein Clustering
ECCV 2018
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices
IJCAI 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