Ming Li

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Paul VitanyiCWI and University of AmsterdamVerified email at cwi.nl
Bin MaProfessor of Computer Science, University of WaterlooVerified email at uwaterloo.ca
Tao JiangUC RiversideVerified email at cs.ucr.edu
Ngoc Hieu TranCheriton School of Computer Science, University of Waterloo, CanadaVerified email at uwaterloo.ca
Xin ChenNanyang Technolgical UniversityVerified email at ntu.edu.sg
Jinbo XuProfessor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Paul KearneyData IncitesVerified email at data-incites.com
Xiaoyan ZhuTsinghua UniversityVerified email at tsinghua.edu.cn
Louxin ZhangProfessor of Bioinformatics, the Center for Data Sci., Nat'l Univ. of S'poreVerified email at nus.edu.sg
Kun Xiongex-CTO of RSVP.aiVerified email at rsvp.ai
Jimmy LinUniversity of WaterlooVerified email at uwaterloo.ca
Shuai Cheng LiDepartment of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
Luchen TanUniversity of WaterlooVerified email at uwaterloo.ca
Xianglilan ZhangDavid R. Cheriton School of Computer Science, University of Waterloo, CanadaVerified email at uwaterloo.ca
Rui QiaoUniversity of WaterlooVerified email at uwaterloo.ca
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research CenterVerified email at kaust.edu.sa
Dongbo BuInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Charles H. BennettFellow, IBM Research DivisionVerified email at us.ibm.com
Lusheng WangCity University of Hong KongVerified email at cityu.edu.hk
Minlie Huangcomputer science, Tsinghua UniversityVerified email at tsinghua.edu.cn

Ming Li

University Professor, University of Waterloo

Verified email at uwaterloo.ca - Homepage

Bioinformatics machine learning Kolmogorov complexity few shot learning information distance


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Initial sequencing and comparative analysis of the mouse genome European Bioinformatics Institute: Birney Ewan 3 Goldman Nick 3 Kasprzyk ... Nature 420 (6915), 520-562, 2002	8707	2002
An introduction to Kolmogorov complexity and its applications M Li, P Vitányi Springer 3, 11, 2008	7942	2008
PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry B Ma, K Zhang, C Hendrie, C Liang, M Li, A Doherty‐Kirby, G Lajoie Rapid communications in mass spectrometry 17 (20), 2337-2342, 2003	1704	2003
The similarity metric M Li, X Chen, X Li, B Ma, PMB Vitányi IEEE transactions on Information Theory 50 (12), 3250-3264, 2004	1680	2004
PatternHunter: faster and more sensitive homology search B Ma, J Tromp, M Li Bioinformatics 18 (3), 440-445, 2002	1156	2002
Kolmogorov complexity and its applications, in ‘‘Handbook of Theoretical Computer Science, Vol. A’’(J. van Leeuwen, Ed.) M Li, PMB Vitanyi Elsevier, Amsterdam, The Netherlands, 1990	1044*	1990
Information distance CH Bennett, P Gács, M Li, PMB Vitányi, WH Zurek IEEE Transactions on information theory 44 (4), 1407-1423, 1998	786	1998
An information-based sequence distance and its application to whole mitochondrial genome phylogeny M Li, JH Badger, X Chen, S Kwong, P Kearney, H Zhang Bioinformatics 17 (2), 149-154, 2001	703	2001
Approximation algorithms for directed Steiner problems M Charikar, C Chekuri, TY Cheung, Z Dai, A Goel, S Guha, M Li Journal of Algorithms 33 (1), 73-91, 1999	665	1999
Learning in the presence of malicious errors M Kearns, M Li Proceedings of the twentieth annual ACM symposium on Theory of computing …, 1988	657	1988
End-to-end open-domain question answering with bertserini W Yang, Y Xie, A Lin, X Li, L Tan, K Xiong, M Li, J Lin arXiv preprint arXiv:1902.01718, 2019	604	2019
The Schistosoma japonicum genome reveals features of host–parasite interplay Functional genomics analysis Liu Feng 1 2 Hu Wei 7 Wang Zhi-Qin 1 Zhang Qin ... Nature 460 (7253), 345-351, 2009	561	2009
De novo peptide sequencing by deep learning NH Tran, X Zhang, L Xin, B Shan, M Li Proceedings of the National Academy of Sciences 114 (31), 8247-8252, 2017	431	2017
On the learnability of Boolean formulae M Kearns, M Li, L Pitt, L Valiant Proceedings of the nineteenth annual ACM symposium on Theory of computing …, 1987	414	1987
A compression algorithm for DNA sequences and its applications in genome comparison X Chen, S Kwong, M Li Proceedings of the fourth annual international conference on Computational …, 2000	387	2000
Shared information and program plagiarism detection X Chen, B Francia, M Li, B Mckinnon, A Seker IEEE Transactions on Information Theory 50 (7), 1545-1551, 2004	365	2004
RAPTOR: optimal protein threading by linear programming J Xu, M Li, D Kim, Y Xu Journal of bioinformatics and computational biology 1 (01), 95-117, 2003	358	2003
Minimum description length induction, Bayesianism, and Kolmogorov complexity PMB Vitányi, M Li IEEE Transactions on information theory 46 (2), 446-464, 2000	354	2000
Discovering patterns to extract protein–protein interactions from full texts M Huang, X Zhu, Y Hao, DG Payan, K Qu, M Li Bioinformatics 20 (18), 3604-3612, 2004	347	2004
Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry NH Tran, R Qiao, L Xin, X Chen, C Liu, X Zhang, B Shan, A Ghodsi, M Li Nature methods 16 (1), 63-66, 2019	337	2019

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