Kai Yi
12 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (37) 🌍 Conference Polyglot · Silver 🏆 Keyword Champion (2) 🗃️ Keyword Collector (66)
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(8)
Artificial Intelligence
(7)
Machine Learning
(6)
Core AI
(5)
Learning Paradigms · Artificial Intelligence
(4)
Computer Vision
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Models
(3)
Application Areas
(2)
Generation
(2)
Learning Paradigms · Machine Learning
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Healthcare & Medicine
(1)
Keywords
federated learning
(3)
variance reduction
(2)
generative model
(2)
communication efficiency
(2)
distributed optimization
(2)
graph neural network
(2)
image captioning
(2)
inverse protein folding
(2)
object detection
(1)
semantic representation
(1)
anomaly detection
(1)
differential privacy
(1)
neural network optimization
(1)
message passing
(1)
network pruning
(1)
survival analysis
(1)
domain adaptation
(1)
protein structure prediction
(1)
multimodal learning
(1)
multi-view learning
(1)
Papers
CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis
CVPR 2026
All-atom inverse protein folding through discrete flow matching
ICML 2025
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects
CVPR 2025
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
ICLR 2024
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
NeurIPS 2024
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
ICLR 2023
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks
ICCV 2023
Graph Denoising Diffusion for Inverse Protein Folding
NeurIPS 2023
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
NeurIPS 2022
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification
ECCV 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
NeurIPS 2022
VisualGPT: Data-Efficient Adaptation of Pretrained Language Models for Image Captioning
CVPR 2022