Kai Yi
11 papers · 2022–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (31) π Interdisciplinary Bridge π Cross-Pollinator (12)
π
Renaissance Researcher
(6)
π
Century Club
(11)
Conferences
NIPS (4)
CVPR (2)
ICLR (2)
ECCV (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
communication efficiency
(2)
distributed optimization
(2)
generative model
(2)
variance reduction
(2)
image captioning
(2)
federated learning
(2)
multimodal learning
(1)
object detection
(1)
transfer learning
(1)
neural network optimization
(1)
vector quantization
(1)
multi-view learning
(1)
protein structure prediction
(1)
straight-through estimator
(1)
anomaly detection
(1)
gradient compression
(1)
proximal gradient
(1)
semantic representation
(1)
domain adaptation
(1)
model compression
(1)
Papers
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
NIPS 2024
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks
ICCV 2023
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
ICLR 2023
Graph Denoising Diffusion for Inverse Protein Folding
NIPS 2023
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
NIPS 2022
VisualGPT: Data-Efficient Adaptation of Pretrained Language Models for Image Captioning
CVPR 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
NIPS 2022
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification
ECCV 2022