Yiyu Shi
21 papers · 2018–2026 · 10 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 (43) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π§¬
Topic Evolution
π
Renaissance Researcher
(6)
π
Conference Pioneer
π
Century Club Β· Bronze
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(92)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(11)
Computer Vision
(8)
Deep Learning
(8)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Application Areas
(4)
Domain-Specific
(4)
Learning Types Β· Deep Learning
(4)
Processing
(4)
Architectures
(3)
Core AI Β· Artificial Intelligence
(3)
Core AI Β· Computer Vision
(3)
Optimization & Theory
(3)
Computer Science
(2)
Healthcare & Medicine
(2)
Keywords
deep neural network
(3)
medical imaging
(2)
adversarial attack
(2)
convolutional neural network
(2)
model compression
(2)
self-supervised learning
(2)
semantic segmentation
(2)
contrastive learning
(2)
representation learning
(1)
adversarial learning
(1)
model quantization
(1)
neural network training
(1)
few-shot learning
(1)
neural network security
(1)
image segmentation
(1)
data augmentation
(1)
unsupervised learning
(1)
uncertainty quantification
(1)
feature extraction
(1)
image classification
(1)
Papers
LightRefine-PCXR: A Lightweight Refinement Framework for Efficient Medical Device Suppression in Pediatric Chest X-Rays
MIDL 2026
SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation
CVPR 2026
Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts
MICCAI 2025
PCA-YOLO: A Small Liver Tumor Detection Model with Patch-Contrastive Attention
MIDL 2025
The cost of local and global fairness in Federated Learning
AISTATS 2025
Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis
MICCAI 2024
Contrastive Learning with Synthetic Positives
ECCV 2024
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
MICCAI 2024
FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis
MICCAI 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks
NeurIPS 2024
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning
AAAI 2023
Decentralized Unsupervised Learning of Visual Representations
IJCAI 2022
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs
IJCAI 2021
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition
CVPR 2020
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation
MIDL 2020
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method
EMNLP 2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
CVPR 2019
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
ICLR 2019
Real-Time Adversarial Attacks
IJCAI 2019
SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection
AAAI 2019
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation
CVPR 2018