Yiyu Shi

20 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (13)

🐣 Hot Topic Early Bird 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌱 Topic Pioneer 🔥 Unstoppable (8) 🚀 Conference Pioneer 💎 Century Club (18) ⚡ Prolific Year (5) 📈 Trend Setter 🗃️ Keyword Collector (66)

Conferences

MICCAI (4) CVPR (3) IJCAI (3) MIDL (3) AAAI (2) AISTATS (1) ECCV (1) EMNLP (1) ICLR (1) NIPS (1)

Top co-authors

Xiaowei Xu (6) Jingtong Hu (6) Jinjun Xiong (4) Dewen Zeng (4) Xueyang Li (3) Yawen Wu (3) Zhepeng Wang (3) Gelei Xu (2) Jian Zhuang (2) Meng Jiang (2)

Research topics

Privacy (2)

Keywords

deep neural network (3) adversarial attack (2) convolutional neural network (2) self-supervised learning (2) medical imaging (2) contrastive learning (2) semantic segmentation (2) feature extraction (1) image classification (1) unsupervised learning (1) few-shot learning (1) neural network security (1) neural network training (1) uncertainty quantification (1) adversarial learning (1) representation learning (1) information extraction (1) data augmentation (1) image compression (1) image segmentation (1)

Papers

LightRefine-PCXR: A Lightweight Refinement Framework for Efficient Medical Device Suppression in Pediatric Chest X-Rays MIDL 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 WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NIPS 2024 Contrastive Learning with Synthetic Positives ECCV 2024 Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis MICCAI 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 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 Real-Time Adversarial Attacks IJCAI 2019 SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection AAAI 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 Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation CVPR 2018