Kwan Ho Ryan Chan

Cited by

	All	Since 2018
Citations	206	206
h-index	6	6
i10-index	4	4

120

201920202021202220231 5 30 101 68

Public access

View all

9 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Yi Ma (马毅)Professor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Yaodong YuUniversity of California, BerkeleyVerified email at berkeley.edu
Chong YouGoogleVerified email at google.com
Jose CadenaResearch Staff Member, Machine Learning Group, Lawrence Livermore National LaboratoryVerified email at vt.edu
Haozhi QiUC BerkeleyVerified email at berkeley.edu
John WrightElectrical Engineering, Columbia UniversityVerified email at columbia.edu
Braden C. SoperData Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Priyadip RayLawrence Livermore National LaboratoryVerified email at llnl.gov
Chanh "Sam" NguyenSoftware Engineer, GoogleVerified email at google.com
Ziyang WuPhD, UC BerkeleyVerified email at berkeley.edu
Chaobing SongPostdoc Researcher, University of Wisconsin-MadisonVerified email at wisc.edu
Xili DaiUC Berkeley; HKUSTVerified email at connect.hkust-gz.edu.cn
Michael PsenkaPhD Student, EECS, UC BerkeleyVerified email at berkeley.edu
Pengyuan Bill ZhaiHarvard UniversityVerified email at g.harvard.edu
Heung-Yeung ShumMicrosoftVerified email at microsoft.com
Ben HaeffeleJohns Hopkins UnviersityVerified email at jhu.edu
Tianjiao Ding (丁天骄)Ph.D. student, Johns Hopkins UniversityVerified email at jhu.edu
Daniel H. KwonUniversity of California, San FranciscoVerified email at ucsf.edu
Christina BaekPhD Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Dylan M PaitonInstitute for Theoretical Physics, University of TübingenVerified email at bethgelab.org

Kwan Ho Ryan Chan

Johns Hopkins University

Verified email at jhu.edu - Homepage

Deep learning Explainable AI Interpretability Sparse and Low-Rank Methods Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning diverse and discriminative representations via the principle of maximal coding rate reduction Y Yu, KHR Chan, C You, C Song, Y Ma Advances in Neural Information Processing Systems 33, 9422-9434, 2020	95	2020
Redunet: A white-box deep network from the principle of maximizing rate reduction KHR Chan, Y Yu, C You, H Qi, J Wright, Y Ma Journal of Machine Learning Research 23 (114), 1-103, 2022	52	2022
Deep Networks from the Principle of Rate Reduction KHR Chan, Y Yu, C You, H Qi, J Wright, Y Ma arXiv preprint arXiv:2010.14765, 2020	14	2020
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction X Dai, S Tong, M Li, Z Wu, M Psenka, KHR Chan, P Zhai, Y Yu, X Yuan, ... Entropy 24 (4), 456, 2022	12	2022
Budget constrained machine learning for early prediction of adverse outcomes for COVID‑19 patients S Nguyen, KHR Chan, J Cadena, B Soper, P Kiszka, L Womack, M Work, ... Scientific Reports, 1112-1114, 2021	9	2021
Closed-loop data transcription to an ldr via minimaxing rate reduction X Dai, S Tong, M Li, Z Wu, M Psenka, KHR Chan, P Zhai, Y Yu, X Yuan, ... arXiv preprint arXiv:2111.06636, 2021	7	2021
Efficient Maximal Coding Rate Reduction by Variational Forms C Baek, Z Wu, KHR Chan, T Ding, Y Ma, BD Haeffele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	5	2022
COVID‐19 outcomes in patients with cancer: Findings from the University of California health system database DH Kwon, J Cadena, S Nguyen, KHR Chan, B Soper, AL Gryshuk, ... Cancer medicine 11 (11), 2204-2215, 2022	4	2022
Unsupervised Manifold Linearizing and Clustering T Ding, S Tong, KHR Chan, X Dai, Y Ma, BD Haeffele arXiv preprint arXiv:2301.01805, 2023	3	2023
Dynamic modeling of hospitalized COVID-19 patients reveals disease state–dependent risk factors BC Soper, J Cadena, S Nguyen, KHR Chan, P Kiszka, L Womack, M Work, ... Journal of the American Medical Informatics Association 29 (5), 864-872, 2022	2	2022
Subspace Locally Competitive Algorithms DM Paiton, S Shepard, KHR Chan, BA Olshausen Proceedings of the Neuro-inspired Computational Elements Workshop, 1-8, 2020	2	2020
End-to-End Framework for Imputation and State Discovery in Longitudinal Energy Data A Ladd, KHR Chan, S Nguyen, J Cadena, B Ng Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021	1	2021
Variational Information Pursuit for Interpretable Predictions A Chattopadhyay, KHR Chan, BD Haeffele, D Geman, R Vidal arXiv preprint arXiv:2302.02876, 2023		2023
Budget Constrained Machine Learning for Early Prediction of Adverse Outcomes for COVID-19 Patients JE Cadena Pico, BC Soper, P Ray, CP Mguyen, R Chan Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021		2021
COVID-19 Outcomes in Patients with Cancer: Findings from the University of California Health System Database (preprint) DH Kwon, JEC Pico, S Nguyen, KHR Chan, B Soper, A Gryshuk, PH Ray, ...		2021
EARLY PREDICTION OF ADVERSE OUTCOMES FOR COVID-19 PATIENTS UNDER COST CONSTRAINTS S Nguyen, KHR Chan, J Cadena, B Soper, P Kiszka, L Womack, M Work, ... Journal of Investigative Medicine, 1112-1114, 2021		2021

The system can't perform the operation now. Try again later.

Articles 1–16

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors