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Ming Li 0001
Person information
- affiliation: University of Waterloo, ON, Canada
- affiliation (former): Cornell University, Ithaca, NY, USA
- affiliation (former): York University, Toronto, Canada
- affiliation (former): Harvard University, Cambridge, MA, USA
Other persons with the same name
- Ming Li — disambiguation page
- Ming Li 0002 — East China Normal University, Shanghai, China (and 1 more)
- Ming Li 0003 (aka: Ming (Fred) Li) — University of Arizona, Tucson, AZ, USA (and 2 more)
- Ming Li 0004 — Xidian University, National Key Lab of Radar Signal Processing, Xi'an, China
- Ming Li 0005 — Nanjing University, National Key Laboratory for Novel Software Technology, China
- Ming Li 0006 — University of Texas at Arlington, TX, USA (and 2 more)
- Ming Li 0007 — California State University, Fresno, CA, USA (and 1 more)
- Ming Li 0008 — Worcester Polytechnic Institute, MA, USA
- Ming Li 0009 — IBM T. J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)
- Ming Li 0010 — Deakin University, VIC, Australia
- Ming Li 0011 — Dalian University of Technology, School of Information and Communication Engineering, China (and 2 more)
- Ming Li 0012 — Taiyuan University of Technology, College of Mathematics, China (and 1 more)
- Ming Li 0013 — China University of Mining & Technology, Xuzhou, China
- Ming Li 0014 — Unilever Corporate Research, Sharnbrook, Bedford, UK
- Ming Li 0015 — Lanzhou University of Technology, China
- Ming Li 0016 — RWTH Aachen University, Germany
- Ming Li 0017 — Zhejiang University, State Key Laboratory of CAD&CG, China
- Ming Li 0018 — Max-Planck-Institut für Informatik, Saarbrücken, Germany
- Ming Li 0019 — Carleton University, Ottawa, ON, Canada
- Ming Li 0020 — Google (and 1 more)
- Ming Li 0021 — Oracle (and 1 more)
- Ming Li 0022 — Vanderbilt University, Department of Biostatistics, Nashville, TN, USA
- Ming Li 0023 — Simon Fraser University, Burnaby, BC, Canada
- Ming Li 0024 — Concordia University, Department of Economics, Montreal, QC, Canada
- Ming Li 0025 — Chinese Academy of Sciences, Institute of Semiconductors, China (and 1 more)
- Ming Li 0026 — Duke Kunshan University, Data Science Research Center, China (and 3 more)
- Ming Li 0028 — National University of Defense Technology, College of Mechatronic Engineering and Automation, Changsha, China
- Ming Li 0029 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China (and 2 more)
- Ming Li 0030 — Auburn University MRI Research Center, Auburn, USA
- Ming Li 0031 — China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China
- Ming Li 0032 — Heidelberg University, Institute of Geography, Germany
- Ming Li 0033 — Chinese Academy of Sciences, Institute of Information Engineering, State Key Laboratory of Information Security, Beijing, China
- Ming Li 0034 — Beihang University, Institute of Solid Mechanics, Beijing, China
- Ming Li 0035 — Aalto University, Department of Computer Science, Espoo, Finland
- Ming Li 0036 — Honghe University, Department of Mathematics, Mengzi, Yunnan, China
- Ming Li 0037 — Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, China
- Ming Li 0038 — Second Military Medical University, Changhai Hospital, Department of Orthopaedics, Shanghai, China
- Ming Li 0039 — China Jiliang University, Department of Mathematics, Hangzhou, China
- Ming Li 0040 — Nanchang University, ISST, China (and 1 more)
- Ming Li 0041 — Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, China (and 1 more)
- Ming Li 0042 — Hamburg University of Technology, Germany
- Ming Li 0043 — Unilever China (and 1 more)
- Ming Li 0044 — Colorado School of Mines, Department of Electrical Engineering and Computer Science, Golden, CO, USA
- Ming Li 0045 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- Ming Li 0046 — Yanshan University, College of Electrical Engineering, Qinhuangdao, China
- Ming Li 0047 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Ming Li 0048 — Sun Yat-sen University, School of Geography and Planning, Guangzhou, China
- Ming Li 0049 — Jinan University, College of Information Science and Technology, China
- Ming Li 0051 — China University of Petroleum, School of Economics and Management, Beijing, China
- Ming Li 0052 — National Institutes of Health, Center for Interventional Oncology / National Heart, Lung, and Blood Institute, Bethesda, MD, USA (and 1 more)
- Ming Li 0053 — Macquarie University, Sydney, NSW, Australia (and 3 more)
- Ming Li 0054 — Beihang University, School of Transportation Science and Engineering / Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China
- Ming Li 0055 — Hong Kong Polytechnic University, Department of Industrial and Systems Engineering, Hong Kong (and 2 more)
- Ming Li 0056 — Nanchang Hangkong University, MOE Key Laboratory of Nondestructive Testing, China (and 1 more)
- Ming Li 0057 — Ocean University of China, College of Engineering, Department of Automation, Qingdao, China (and 1 more)
- Ming Li 0058 — Shenyang University of Technology, School of Electrical Engineering, China
- Ming Li 0059 — National University of Defense Technology, College of Meteorology and Oceanography, Nanjing, China
- Ming Li 0060 — Harbin Engineering University, College of Computer Science and Technology, China
- Ming Li 0061 — Rizhao People's Hospital, Department of Nuclear Medicine, China
- Ming Li 0062 — CRRC Tangshan Company, Ltd., Tangshan, China
- Ming Li 0063 — Harbin Institute of Technology, Communication Research Center, China
- Ming Li 0064 — Beijing Institute of Technology, State Key Laboratory of Explosion Science and Technology, China
- Ming Li 0065 — Zhejiang Normal University, Department of Computer Science, Jinhua, China (and 2 more)
- Ming Li 0066 — National University of Defense Technology, College of Electronic Science and Technology, State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Changsha, China
- Ming Li 0067 — Lappeenranta University of Technology, LUT, Laboratory of Intelligent Machines, Department of Mechanical Engineering, Finland
- Ming Li 0068 — University of Amsterdam, IRLab, Netherlands (and 1 more)
- Ming Li 0069 — Nanjing University, School of Electronic Science and Engineering, China
- Ming Li 0070 — China University of Petroleum, School of Science, Qingdao, China (and 1 more)
- Ming Li 0071 — Jiangsu Ocean University, Department of Computer Science and Technology, China (and 1 more)
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2020 – today
- 2024
- [i28]Ziguang Li, Chao Huang, Xuliang Wang, Haibo Hu, Cole Wyeth, Dongbo Bu, Quan Yu, Wen Gao, Xingwu Liu, Ming Li:
Understanding is Compression. CoRR abs/2407.07723 (2024) - 2023
- [j120]Zeping Mao, Ruixue Zhang, Lei Xin, Ming Li:
Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model. Nat. Mac. Intell. 5(11): 1250-1260 (2023) - [i27]Cynthia Huang, Yuqing Xie, Zhiying Jiang, Jimmy Lin, Ming Li:
Approximating Human-Like Few-shot Learning with GPT-based Compression. CoRR abs/2308.06942 (2023) - 2022
- [j119]Ngoc Hieu Tran, Jinbo Xu, Ming Li:
A tale of solving two computational challenges in protein science: neoantigen prediction and protein structure prediction. Briefings Bioinform. 23(1) (2022) - [c117]Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin:
Few-Shot Non-Parametric Learning with Deep Latent Variable Model. NeurIPS 2022 - [i26]Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin:
Few-Shot Non-Parametric Learning with Deep Latent Variable Model. CoRR abs/2206.11573 (2022) - 2021
- [j118]Rui Qiao, Ngoc Hieu Tran, Lei Xin, Xin Chen, Ming Li, Baozhen Shan, Ali Ghodsi:
Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices. Nat. Mach. Intell. 3(5): 420-425 (2021) - [j117]Wenju Zhang, Zhewei Liang, Xin Chen, Lei Xin, Baozhen Shan, Zhigang Luo, Ming Li:
ChimST: An Efficient Spectral Library Search Tool for Peptide Identification from Chimeric Spectra in Data-Dependent Acquisition. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1416-1425 (2021) - [c116]He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li:
Segatron: Segment-Aware Transformer for Language Modeling and Understanding. AAAI 2021: 12526-12534 - [c115]He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li:
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2. ACL (student) 2021: 148-162 - [c114]Mohan Zhang, Luchen Tan, Zihang Fu, Kun Xiong, Jimmy Lin, Ming Li, Zhengkai Tu:
Don't Change Me! User-Controllable Selective Paraphrase Generation. EACL 2021: 3522-3527 - [c113]Minghan Li, Ming Li, Kun Xiong, Jimmy Lin:
Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering. EMNLP (Findings) 2021: 274-287 - [c112]Anup Anand Deshmukh, Qianqiu Zhang, Ming Li, Jimmy Lin, Lili Mou:
Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach. EMNLP (Findings) 2021: 3626-3634 - 2020
- [j116]Ngoc Hieu Tran, Rui Qiao, Lei Xin, Xin Chen, Baozhen Shan, Ming Li:
Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines. Nat. Mach. Intell. 2(12): 764-771 (2020) - [c111]Hamidreza Shahidi, Ming Li, Jimmy Lin:
Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data. ACL 2020: 3864-3870 - [c110]Zhengkai Tu, Wei Yang, Zihang Fu, Yuqing Xie, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
Approximate Nearest Neighbor Search and Lightweight Dense Vector Reranking in Multi-Stage Retrieval Architectures. ICTIR 2020: 97-100 - [c109]Yuqing Xie, Wei Yang, Luchen Tan, Kun Xiong, Nicholas Jing Yuan, Baoxing Huai, Ming Li, Jimmy Lin:
Distant Supervision for Multi-Stage Fine-Tuning in Retrieval-Based Question Answering. WWW 2020: 2934-2940 - [i25]He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li:
Semantics of the Unwritten. CoRR abs/2004.02251 (2020) - [i24]He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Ming Li:
SegaBERT: Pre-training of Segment-aware BERT for Language Understanding. CoRR abs/2004.14996 (2020) - [i23]Mohan Zhang, Luchen Tan, Zhengkai Tu, Zihang Fu, Kun Xiong, Ming Li, Jimmy Lin:
To Paraphrase or Not To Paraphrase: User-Controllable Selective Paraphrase Generation. CoRR abs/2008.09290 (2020) - [i22]Minghan Li, He Bai, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures. CoRR abs/2010.11351 (2020)
2010 – 2019
- 2019
- [b6]Ming Li, Paul M. B. Vitányi:
An Introduction to Kolmogorov Complexity and Its Applications, 4th Edition. Texts in Computer Science, Springer 2019, ISBN 978-3-030-11297-4, pp. 1-761 - [j115]Ming Li:
Deep Learning Deciphers Protein-RNA Interaction. Genom. Proteom. Bioinform. 17(5): 475-477 (2019) - [c108]Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin:
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features. NAACL-HLT (2) 2019: 56-63 - [c107]Wei Yang, Yuqing Xie, Aileen Lin, Xingyu Li, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
End-to-End Open-Domain Question Answering with BERTserini. NAACL-HLT (Demonstrations) 2019: 72-77 - [i21]Wei Yang, Yuqing Xie, Aileen Lin, Xingyu Li, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
End-to-End Open-Domain Question Answering with BERTserini. CoRR abs/1902.01718 (2019) - [i20]Wei Yang, Yuqing Xie, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering. CoRR abs/1904.06652 (2019) - [i19]Rui Qiao, Ngoc Hieu Tran, Ming Li, Lei Xin, Baozhen Shan, Ali Ghodsi:
DeepNovoV2: Better de novo peptide sequencing with deep learning. CoRR abs/1904.08514 (2019) - [i18]Hamidreza Shahidi, Ming Li, Jimmy Lin:
Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data. CoRR abs/1909.10158 (2019) - 2018
- [c106]Ming Li:
Challenges from Cancer Immunotherapy. COCOON 2018: xii-x - 2017
- [j114]Chunyi Yue, Hanqiang Cao, Kun Xiong, Anqi Cui, Haocheng Qin, Ming Li:
Enhanced question understanding with dynamic memory networks for textual question answering. Expert Syst. Appl. 80: 39-45 (2017) - 2016
- [c105]Anqi Cui, Guangyu Feng, Borui Ye, Kun Xiong, Xing Yi Liu, Ming Li:
UWNLP at the NTCIR-12 Short Text Conversation Task. NTCIR 2016 - [r4]Lusheng Wang, Ming Li, Bin Ma:
Closest String and Substring Problems. Encyclopedia of Algorithms 2016: 321-324 - [r3]Bhaskar DasGupta, Xin He, Ming Li, John Tromp, Louxin Zhang:
Nearest Neighbor Interchange and Related Distances. Encyclopedia of Algorithms 2016: 1402-1405 - [i17]Kun Xiong, Anqi Cui, Zefeng Zhang, Ming Li:
Neural Contextual Conversation Learning with Labeled Question-Answering Pairs. CoRR abs/1607.05809 (2016) - 2015
- [j113]Ming Li, Limsoon Wong:
John Wooley and JBCB. J. Bioinform. Comput. Biol. 13(4): 1501001:1 (2015) - [c104]Guangyu Feng, Kun Xiong, Yang Tang, Anqi Cui, Jing Bai, Hang Li, Qiang Yang, Ming Li:
Question Classification by Approximating Semantics. WWW (Companion Volume) 2015: 407-417 - 2014
- [j112]Xuefeng Cui, Shuai Cheng Li, Lin He, Ming Li:
Fingerprinting protein structures effectively and efficiently. Bioinform. 30(7): 949-955 (2014) - [j111]John C. Wooley, Ming Li, Limsoon Wong:
JBCB, the first decade. J. Bioinform. Comput. Biol. 12(3) (2014) - [j110]Xianglilan Zhang, Zhigang Luo, Ming Li:
Merge-Weighted Dynamic Time Warping for Speech Recognition. J. Comput. Sci. Technol. 29(6): 1072-1082 (2014) - [j109]Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma:
Estimating feature ratings through an effective review selection approach. Knowl. Inf. Syst. 38(2): 419-446 (2014) - [p7]Tao Jiang, Ming Li, Bala Ravikumar:
Formal Models and Computability. Computing Handbook, 3rd ed. (1) 2014: 8: 1-37 - 2013
- [j108]Xuefeng Cui, Shuai Cheng Li, Dongbo Bu, Babak Alipanahi, Ming Li:
Protein Structure Idealization: How accurately is it possible to model protein structures with dihedral angles? Algorithms Mol. Biol. 8: 5 (2013) - [j107]Yang Tang, Di Wang, Jing Bai, Xiaoyan Zhu, Ming Li:
Information distance between what I said and what it heard. Commun. ACM 56(7): 70-77 (2013) - [j106]Daniel Holtby, Shuai Cheng Li, Ming Li:
LoopWeaver: Loop Modeling by the Weighted Scaling of Verified Proteins. J. Comput. Biol. 20(3): 212-223 (2013) - [j105]Babak Alipanahi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson, Ming Li:
Determining Protein Structures from NOESY Distance Constraints by Semidefinite Programming. J. Comput. Biol. 20(4): 296-310 (2013) - [c103]Xuefeng Cui, Shuai Cheng Li, Dongbo Bu, Ming Li:
Towards Reliable Automatic Protein Structure Alignment. WABI 2013: 18-32 - 2012
- [j104]Richard Jang, Xin Gao, Ming Li:
Combining automated peak tracking in SAR by NMR with structure-based backbone assignment from 15N-NOESY. BMC Bioinform. 13(S-3): S4 (2012) - [j103]Shuai Cheng Li, Dongbo Bu, Ming Li:
Residues with Similar Hexagon Neighborhoods Share Similar Side-Chain Conformations. IEEE ACM Trans. Comput. Biol. Bioinform. 9(1): 240-248 (2012) - [j102]Shuai Cheng Li, Dongbo Bu, Ming Li:
Clustering 100, 000 Protein Structure Decoys in Minutes. IEEE ACM Trans. Comput. Biol. Bioinform. 9(3): 765-773 (2012) - [c102]Ming Li:
(2) Protein structure determination on demand. BIBM 2012: 1 - [c101]Xianglilan Zhang, Hongnan Wang, Tony J. Collins, Zhigang Luo, Ming Li:
Classifying Stem Cell Differentiation Images by Information Distance. ECML/PKDD (1) 2012: 269-282 - [c100]Babak Alipanahi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson, Ming Li:
Protein Structure by Semidefinite Facial Reduction. RECOMB 2012: 1-11 - [c99]Daniel Holtby, Shuai Cheng Li, Ming Li:
LoopWeaver - Loop Modeling by the Weighted Scaling of Verified Proteins. RECOMB 2012: 113-126 - [c98]Xuefeng Cui, Shuai Cheng Li, Dongbo Bu, Babak Alipanahi Ramandi, Ming Li:
How Accurately Can We Model Protein Structures with Dihedral Angles? WABI 2012: 274-287 - 2011
- [j101]Babak Alipanahi, Xin Gao, Emre Karakoç, Shuai Cheng Li, Frank J. Balbach, Guangyu Feng, Logan Donaldson, Ming Li:
Error Tolerant NMR Backbone Resonance Assignment and Automated Structure Generation. J. Bioinform. Comput. Biol. 9(1): 15-41 (2011) - [j100]Richard Jang, Xin Gao, Ming Li:
Towards Fully Automated Structure-Based NMR Resonance Assignment of 15N-Labeled Proteins From Automatically Picked Peaks. J. Comput. Biol. 18(3): 347-363 (2011) - [j99]Shuai Cheng Li, Dongbo Bu, Jinbo Xu, Ming Li:
Finding Nearly Optimal GDT Scores. J. Comput. Biol. 18(5): 693-704 (2011) - [j98]Fan Bu, Xiaoyan Zhu, Ming Li:
A New Multiword Expression Metric and Its Applications. J. Comput. Sci. Technol. 26(1): 3-13 (2011) - [c97]Ming Li:
Information Distance and Its Extensions. ALT 2011: 39 - [c96]Richard Jang, Xin Gao, Ming Li:
Combining ambiguous chemical shift mapping with structure-based backbone and NOE assignment from 15N-NOESY. BCB 2011: 76-86 - [c95]Ming Li:
Partial Match Distance - In Memoriam Ray Solomonoff 1926-2009. Algorithmic Probability and Friends 2011: 55-64 - [c94]Ming Li:
Information Distance and Its Extensions. Discovery Science 2011: 18-28 - 2010
- [j97]Yuzhong Zhao, Babak Alipanahi, Shuai Cheng Li, Ming Li:
Protein Secondary Structure Prediction Using NMR Chemical Shift Data. J. Bioinform. Comput. Biol. 8(5): 867-884 (2010) - [j96]Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li:
A New Approach for Multi-Document Update Summarization. J. Comput. Sci. Technol. 25(4): 739-749 (2010) - [c93]Fan Bu, Xiaoyan Zhu, Ming Li:
Measuring the Non-compositionality of Multiword Expressions. COLING 2010: 116-124 - [c92]Richard Jang, Xin Gao, Ming Li:
Towards Automated Structure-Based NMR Resonance Assignment. RECOMB 2010: 189-207 - [i16]Charles H. Bennett, Péter Gács, Ming Li, Paul M. B. Vitányi, Wojciech H. Zurek:
Information Distance. CoRR abs/1006.3520 (2010)
2000 – 2009
- 2009
- [j95]Babak Alipanahi, Xin Gao, Emre Karakoç, Logan Donaldson, Ming Li:
PICKY: a novel SVD-based NMR spectra peak picking method. Bioinform. 25(12) (2009) - [j94]Xin Gao, Jinbo Xu, Shuai Cheng Li, Ming Li:
Predicting Local Quality of a Sequence-Structure Alignment. J. Bioinform. Comput. Biol. 7(5): 789-810 (2009) - [j93]Ying Xu, Ming Li, Tao Jiang:
Preface. J. Comput. Sci. Technol. 25(1): 1-2 (2009) - [j92]Ming Li:
Can We Determine a Protein Structure Quickly? J. Comput. Sci. Technol. 25(1): 95-106 (2009) - [j91]Shuai Cheng Li, Ming Li:
On two open problems of 2-interval patterns. Theor. Comput. Sci. 410(24-25): 2410-2423 (2009) - [j90]Dongbo Bu, Ming Li, Shuai Cheng Li, Jianbo Qian, Jinbo Xu:
Finding compact structural motifs. Theor. Comput. Sci. 410(30-32): 2834-2839 (2009) - [c91]Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li:
Multi-document Summarization by Information Distance. ICDM 2009: 866-871 - [c90]Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma:
Specialized Review Selection for Feature Rating Estimation. Web Intelligence 2009: 214-221 - 2008
- [b5]Ming Li, Paul M. B. Vitányi:
An Introduction to Kolmogorov Complexity and Its Applications, Third Edition. Texts in Computer Science, Springer 2008, ISBN 978-0-387-33998-6, pp. i-xxiii, 1-790 - [j89]Hao Lin, Zefeng Zhang, Michael Q. Zhang, Bin Ma, Ming Li:
ZOOM! Zillions of oligos mapped. Bioinform. 24(21): 2431-2437 (2008) - [j88]Zefeng Zhang, Hao Lin, Ming Li:
Mango: Multiple Alignment with n Gapped Oligos. J. Bioinform. Comput. Biol. 6(3): 521-541 (2008) - [j87]Xian Zhang, Yu Hao, Xiaoyan Zhu, Ming Li:
New Information Distance Measure and Its Application in Question Answering System. J. Comput. Sci. Technol. 23(4): 557-572 (2008) - [c89]Chong Long, Xiaoyan Zhu, Ming Li, Bin Ma:
Information shared by many objects. CIKM 2008: 1213-1220 - [c88]Shuai Cheng Li, Dongbo Bu, Jinbo Xu, Ming Li:
Finding Largest Well-Predicted Subset of Protein Structure Models. CPM 2008: 44-55 - [c87]Shuai Cheng Li, Dongbo Bu, Xin Gao, Jinbo Xu, Ming Li:
Designing succinct structural alphabets. ISMB 2008: 182-189 - [c86]Jing Zhang, Xin Gao, Jinbo Xu, Ming Li:
Rapid and Accurate Protein Side Chain Prediction with Local Backbone Information. RECOMB 2008: 285-299 - [r2]Bhaskar DasGupta, Xin He, Tao Jiang, Ming Li, John Tromp, Louxin Zhang:
Nearest Neighbor Interchange and Related Distances. Encyclopedia of Algorithms 2008 - [i15]Paul M. B. Vitányi, Frank J. Balbach, Rudi Cilibrasi, Ming Li:
Normalized Information Distance. CoRR abs/0809.2553 (2008) - 2007
- [j86]Jing Zhang, Bo Jiang, Ming Li, John Tromp, Xuegong Zhang, Michael Q. Zhang:
Computing exact P-values for DNA motifs. Bioinform. 23(5): 531-537 (2007) - [j85]Ming Li:
Information Distance and its Applications. Int. J. Found. Comput. Sci. 18(4): 669-681 (2007) - [j84]Brendan Lucier, Tao Jiang, Ming Li:
Average-case analysis of QuickSort and Binary Insertion Tree height using incompressibility. Inf. Process. Lett. 103(2): 45-51 (2007) - [j83]Bin Ma, Lusheng Wang, Ming Li:
Near optimal multiple alignment within a band in polynomial time. J. Comput. Syst. Sci. 73(6): 997-1011 (2007) - [j82]Bin Ma, Ming Li:
On the complexity of the spaced seeds. J. Comput. Syst. Sci. 73(7): 1024-1034 (2007) - [j81]Ming Li, Paul M. B. Vitányi:
Applications of algorithmic information theory. Scholarpedia 2(5): 2658 (2007) - [c85]Ming Li:
Information Distance from a Question to an Answer. COCOON 2007: 3 - [c84]Jianbo Qian, Shuai Cheng Li, Dongbo Bu, Ming Li, Jinbo Xu:
Finding Compact Structural Motifs. CPM 2007: 142-149 - [c83]Jing Zhang, Xi Chen, Ming Li:
Computing Exact p-Value for Structured Motif. CPM 2007: 162-172 - [c82]Ming Li:
Invited Talk: Modern Homology Search. ISBRA 2007: 145 - [c81]Xuefeng Cui, Tomás Vinar, Brona Brejová, Dennis E. Shasha, Ming Li:
Homology search for genes. ISMB/ECCB (Supplement of Bioinformatics) 2007: 97-103 - [c80]Xian Zhang, Yu Hao, Xiaoyan Zhu, Ming Li, David R. Cheriton:
Information distance from a question to an answer. KDD 2007: 874-883 - 2006
- [j80]Minlie Huang, Xiaoyan Zhu, Ming Li:
A hybrid method for relation extraction from biomedical literature. Int. J. Medical Informatics 75(6): 443-455 (2006) - [j79]Jian Liu, Bin Ma, Ming Li:
Prima: Peptide Robust Identification from Ms/ms Spectra. J. Bioinform. Comput. Biol. 4(1): 125-138 (2006) - [j78]Jinbo Xu, Daniel G. Brown, Ming Li, Bin Ma:
Optimizing Multiple Spaced Seeds for Homology Search. J. Comput. Biol. 13(7): 1355-1368 (2006) - [c79]Minlie Huang, Xiaoyan Zhu, Shilin Ding, Hao Yu, Ming Li:
ONBRIRES: Ontology-Based Biological Relation Extraction System. APBC 2006: 327-336 - [c78]Ming Li:
Information distance. GrC 2006: 1 - [c77]Ming Li:
From Three Ideas in TCS to Three Applications in Bioinformatics. MFCS 2006: 84-85 - [c76]Ming Li, Bin Ma, Louxin Zhang:
Superiority and complexity of the spaced seeds. SODA 2006: 444-453 - [c75]Shuai Cheng Li, Ming Li:
On the Complexity of the Crossing Contact Map Pattern Matching Problem. WABI 2006: 231-241 - [c74]Ming Li:
Information Distance and Its Applications. CIAA 2006: 1-9 - 2005
- [j77]Derek Kisman, Ming Li, Bin Ma, Li Wang:
tPatternHunter: gapped, fast and sensitive translated homology search . Bioinform. 21(4): 542-544 (2005) - [j76]Hao Yu, Xiaoyan Zhu, Minlie Huang, Ming Li:
Discovering patterns to extract protein-protein interactions from the literature: Part II. Bioinform. 21(15): 3294-3300 (2005) - [j75]Jian Liu, Ming Li:
Finding Cancer Biomarkers from Mass Spectrometry Data by Decision Lists. J. Comput. Biol. 12(7): 971-979 (2005) - [c73]Jinbo Xu, Libo Yu, Ming Li:
Consensus fold recognition by predicted model quality. APBC 2005: 73-83 - [c72]Jian Liu, Bin Ma, Ming Li:
PRIME: Peptide robust identification from MS/MS spectra. APBC 2005: 181-190 - [c71]Yu Hao, Xiaoyan Zhu, Ming Li:
A New Algorithm for Pattern Optimization in Protein-Protein Interaction Extraction System. IbPRIA (2) 2005: 397-404 - [c70]Brona Brejová, Daniel G. Brown, Ming Li, Tomás Vinar:
ExonHunter: a comprehensive approach to gene finding. ISMB (Supplement of Bioinformatics) 2005: 57-65 - [c69]Thomas Tang, Jinbo Xu, Ming Li:
Discovering Sequence-Structure Motifs from Protein Segments and Two Applications. Pacific Symposium on Biocomputing 2005 - 2004
- [j74]Minlie Huang, Xiaoyan Zhu, Hao Yu, Donald G. Payan, Kunbin Qu, Ming Li:
Discovering patterns to extract protein-protein interactions from full texts. Bioinform. 20(18): 3604-3612 (2004) - [j73]Uri Keich, Ming Li, Bin Ma, John Tromp:
On spaced seeds for similarity search. Discret. Appl. Math. 138(3): 253-263 (2004) - [j72]