Concepedia

Kwan Ho Ryan Chan

KH

Statistics

Publications

4

Citations

144

H-Index

4

Active since

2020

Affiliations

University of California, Berkeley(Current)

Tsinghua–Berkeley Shenzhen Institute

Tsinghua University

Kwan Ho Ryan Chan is an author at University of California, Berkeley specializing in computer science, computer vision, and deep learning.

Top concepts

EngineeringData ScienceDeep LearningImage AnalysisComputer VisionComputer ScienceMachine LearningPattern RecognitionKnowledge DiscoverySupervised Learning

Publications per year

2020–2022

4

Publications

4

Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction

Yaodong Yu, Kwan Ho Ryan Chan, Chong You et al. · arXiv (Cornell University) · 2020 · 58 citations · Full text

Engineering, Machine Learning, Autoencoders +18

ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction

Kwan Ho Ryan Chan, Yaodong Yu, Chong You et al. · arXiv (Cornell University) · 2021 · 54 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Deep Convolution Network +17

CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction

Xili Dai, Shengbang Tong, Mingyang Li et al. · Entropy · 2022 · 18 citations · Full text

Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction

Yaodong Yu, Kwan Ho Ryan Chan, Chong You et al. · Neural Information Processing Systems · 2020 · 14 citations

Engineering, Machine Learning, Autoencoders +18

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