Yinghuan Shi
47 papers · 2013–2026 · 8 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 (62) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(17)
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Dynamic Duo
(38)
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Topic Evolution
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Keyword Pioneer
ποΈ
Keyword Collector
(162)
β‘
Prolific Year Β· Prolific
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(36)
Learning Types Β· Machine Learning
(26)
Computer Vision
(19)
Deep Learning
(18)
Artificial Intelligence
(12)
Application Areas
(12)
Learning Types Β· Deep Learning
(11)
Analysis
(10)
Core Methods
(7)
Learning Paradigms
(7)
Architectures
(6)
Core AI
(6)
Processing
(6)
Domain-Specific
(5)
Healthcare & Medicine
(4)
Keywords
semi-supervised learning
(14)
domain generalization
(5)
data augmentation
(5)
few-shot learning
(4)
medical image segmentation
(4)
semantic segmentation
(4)
domain adaptation
(4)
pseudo labeling
(4)
feature embedding
(3)
consistency regularization
(3)
pseudo label
(2)
domain shift
(2)
computed tomography
(2)
semantic alignment
(2)
metric learning
(2)
image segmentation
(2)
entropy minimization
(2)
continual learning
(2)
test-time adaptation
(2)
episodic training
(2)
Papers
Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
AAAI 2026
Duala: Dual-Level Alignment of Subjects and Stimuli for Cross-Subject fMRI Decoding
CVPR 2026
One Token, Two Fates: A Unified Framework via Vision Token Manipulation Against MLLMs Hallucination
CVPR 2026
Understanding and Enforcing Weight Disentanglement in Task Arithmetic
CVPR 2026
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
CVPR 2025
Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
ICCV 2025
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
ICCV 2025
Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations
MICCAI 2025
GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion
MICCAI 2025
Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD
ICLR 2025
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
CVPR 2025
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
CVPR 2025
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
AAAI 2025
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
CVPR 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
ECCV 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
AAAI 2024
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
AAAI 2024
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
NeurIPS 2024
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
ECCV 2024
ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization
CVPR 2023
DomainAdaptor: A Novel Approach to Test-time Adaptation
ICCV 2023
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization
ICCV 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
ICCV 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
NeurIPS 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization
ICCV 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
ICCV 2023
Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation
CVPR 2023
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
CVPR 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
ICCV 2023
Towards Semi-supervised Learning with Non-random Missing Labels
ICCV 2023
DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning
CVPR 2022
Generalizable Cross-Modality Medical Image Segmentation via Style Augmentation and Dual Normalization
CVPR 2022
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration
ECCV 2022
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class
NeurIPS 2022
LaSSL: Label-Guided Self-Training for Semi-supervised Learning
AAAI 2022
MVDG: A Unified Multi-View Framework for Domain Generalization
ECCV 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning
ECCV 2022
ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation
CVPR 2022
Manifold Alignment for Semantically Aligned Style Transfer
ICCV 2021
Mining Latent Classes for Few-Shot Segmentation
ICCV 2021
Asymmetric Distribution Measure for Few-shot Learning
IJCAI 2020
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge
IJCAI 2020
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation
AAAI 2020
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification
ICCV 2019
Revisiting Metric Learning for SPD Matrix Based Visual Representation
CVPR 2017
Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis
CVPR 2014
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso
CVPR 2013