Yilei Shi
16 papers · 2024–2026 · 6 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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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26) 🤝 Dynamic Duo (10) 🚀 Conference Pioneer
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Deep Learning
(7)
Computer Vision
(5)
Machine Learning
(5)
Architectures
(5)
Learning Types · Machine Learning
(5)
Learning Types · Deep Learning
(4)
Models
(4)
Computer Science
(3)
Applications
(3)
Analysis
(2)
Application Areas
(2)
Domain-Specific
(2)
Generation
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Keywords
boundary representation
(4)
cad generation
(2)
latent representation
(2)
generative model
(2)
diffusion model
(2)
medical imaging
(2)
self-supervised learning
(1)
semi-supervised learning
(1)
conditional generation
(1)
3d vision
(1)
point cloud generation
(1)
state space model
(1)
multimodal learning
(1)
latent space
(1)
autoregressive model
(1)
knowledge distillation
(1)
3d generation
(1)
next-token prediction
(1)
feature fusion
(1)
anomaly detection
(1)
Papers
AutoRegressive Generation with B-rep Holistic Token Sequence Representation
CVPR 2026
BrepVGAE: Variational Graph Autoencoder with Unified Latent Representation for B-rep
CVPR 2026
PP-Brep: Few-Shot B-rep Classification with Hybrid Graph Representation
CVPR 2026
ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling
AAAI 2026
BrepGiff: Lightweight Generation of Complex B-rep with 3D GAT Diffusion
CVPR 2025
High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation
MICCAI 2025
LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation
AAAI 2025
MamTiff-CAD: Multi-Scale Latent Diffusion with Mamba+ for Complex Parametric Sequence
ICCV 2025
Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression
CVPR 2025
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
ICLR 2025
CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention
MICCAI 2024
Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning
MICCAI 2024
Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization
ECCV 2024
Rethinking Cell Counting Methods: Decoupling Counting and Localization
MICCAI 2024
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
MICCAI 2024
Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models
MICCAI 2024