Kaichao You
14 papers · 2019–2026 · 7 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
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(59)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(9)
Application Areas
(6)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Learning Paradigms
(3)
Techniques
(3)
Computer Science
(2)
Optimization & Theory
(2)
Systems
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Core AI
(1)
Core Methods
(1)
Keywords
transfer learning
(4)
pre-trained model
(3)
model selection
(3)
computer vision
(2)
batch normalization
(2)
program analysis
(1)
efficient computing
(1)
natural language processing
(1)
unsupervised domain adaptation
(1)
control variate
(1)
feature extraction
(1)
label shift
(1)
event camera
(1)
bayesian optimization
(1)
convolutional neural network
(1)
hyperparameter tuning
(1)
deep neural network
(1)
motion estimation
(1)
deep reinforcement learning
(1)
unsupervised learning
(1)
Papers
UCCL-Tran: An Extensible Software Transport Layer for GPU Networking
OSDI 2026
UEP: Portable Expert-Parallel Communication
OSDI 2026
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
JMLR 2025
Efficient ConvBN Blocks for Transfer Learning and Beyond
ICLR 2024
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs
JMLR 2022
Tianshou: A Highly Modularized Deep Reinforcement Learning Library
JMLR 2022
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
CVPR 2022
Video Interpolation by Event-Driven Anisotropic Adjustment of Optical Flow
ECCV 2022
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
ICML 2021
Co-Tuning for Transfer Learning
NeurIPS 2020
Stochastic Normalization
NeurIPS 2020
Learning to Transfer Examples for Partial Domain Adaptation
CVPR 2019
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
ICML 2019
Universal Domain Adaptation
CVPR 2019