The 8th IEEE International Conference on Big Knowledge

August 9 -10, 2017

Hefei, China

Big Knowledge deals with fragmented knowledge from heterogeneous, autonomous information sources for complex and evolving relationships, in addition to domain expertise. The IEEE International Conference on Big Knowledge (ICBK) provides a premier international forum for presentation of original research results in Big Knowledge opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Big Knowledge, including algorithms, software, systems, and applications. ICBK draws researchers and application developers from a wide range of Big Knowledge related areas such as statistics, machine learning, pattern recognition, knowledge visualization, expert systems, high performance computing, World Wide Web, and big data analytics. By promoting novel, high quality research findings, and innovative solutions to challenging Big Knowledge problems, the conference seeks to continuously advance the state-of-the-art in Big Knowledge.

Accepted papers will be published in the conference proceedings by the IEEE Computer Society. Awards will be conferred at the conference on the authors of the best paper and the best student paper. A selected number of best papers will be invited for possible inclusion, in an expanded and revised form, in the Knowledge and Information Systems Journal.

Important Dates

  • Paper submission: March 15, 2017  April 7, 2017

  • Notification of acceptance/rejection: May 18, 2017

  • Camera-Ready Papers: June 16, 2017

  • Conference: August 9-10, 2017

All deadlines are 11:59PM, UTC-12; thus submissions are allowed as long as the deadline date is not past anywhere in the world.


For any issue with ICBK 2017, please email: 

Important Dates

  • Paper submission: March 15, 2017  April 7, 2017

  • Notification of acceptance/rejection: May 18, 2017

  • Camera-Ready Papers: June 16, 2017

  • Registration Deadline: June 23, 2017

  • Conference: August 9-10, 2017

All deadlines are 11:59PM, UTC-12; thus submissions are allowed as long as the deadline date is not past anywhere in the world. 

Accepted Papers

(BK237) Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study by Rishabh Gupta and P. Krishna Reddy

(BK253) Keyphrase Extraction Using Sequential Pattern Mining and Entropy by Qingren Wang and Victor Sheng

(BK270) Multi-layered Big Knowledge Visualization Scheme for Comprehending Neoplasm Ontology Content by Ling Zheng, Christopher Ochs, James Geller, Hao Liu, Yehoshua Perl, and Sherri de Coronado

(BK233) Subpopulation-Wise Conditional Correlation Modeling and Analysis by Guozhu Dong and Sanjeev Bhatta

(BK265) Privacy-Preserving Pattern Mining on Online Density Estimates by Michael Geilke and Stefan Kramer

(BK263) Multi-Label Classification using Stacked Hierarchical Dirichlet Processes with Reduced Sampling Complexity by Sophie Burkhardt and Stefan Kramer

(BK239) Crime Hot Spot Forecasting: A Recurrent model with Spatial and Temporal Information by Yong Zhuang, Matthew Almeida, Melissa Morabito, and Wei Ding

(BK272) Self-learning and Embedding Based Entity Alignment by Saiping Guan, Xiaolong Jin, Yantao Jia, Yuanzhuo Wang, Huawei Shen, and Xueqi Cheng

(BK269) Learning Question Similarity with Recurrent Neural Networks by Borui Ye, Guangyu Feng, Anqi Cui, and Ming Li

(BK213) Analyzing Structure of Terrorist Networks by Using Graph Metrics by M Serkan CINAR, Burkay GENC, Hayri SEVER, and Vijay V RAGHAVAN

(BK225) Iteratively Multiple Projections Optimization for Product Quantization in Nearest Neighbor Search by Jin Li, Xuguang Lan, and Nanning Zheng

(BK214) A Novel Three-way Clustering Algorithm for Mixed-type Data by Hong Yu, Zhihua Chang, and Bing Zhou

(BK219) Granger Causality for Multivariate Time Series Classification by Dandan Yang, Huanhuan Chen, Yinlong Song, and Zhichen Gong

(BK220) Factored Proximity Models for Top-N Recommendations by Athanasios N. Nikolakopoulos, Vassilis Kalantzis, Efstratios Gallopoulos, and John Garofalakis

(BK223) A New Online Feature Selection Method Using Neighborhood Rough Set by Peng Zhou, Xuegang Hu, and Peipei Li

(BK221) Revisit Word Embeddings With Semantic Lexicons for Modeling Lexical Contrast by Jiawei Liu, Zhenyu Liu, and Huanhuan Chen

(BK207) TDN: Twice-least-square Double-parallel Neural Networks by Guoqiang Li and Keith C.C. Chan

(BK227) A Global Flight Networks Analysis Approach using Markov Clustering and PageRank by Kecheng Xu, Teng Long, Shaojie Qiao, Yating Zheng, and Nan Han

(BK224) Exploiting Nonlinear Relationships for Top-N Recommender Systems by Zhao Kang, Chong Peng, Ming Yang, and Qiang Cheng

(BK204) Visual Analytics as a tool to assist the preprocess by Glauber Cini and Joao F. Valiati

Author Final Paper Preparation and Submission Instructions

Please refer to the IEEE online submission system for the preparation and submission of the accepted final papers.

Submission Guidelines

Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to Big Knowledge, originality, significance, and clarity. 

The following sections give further information for authors.  

1.      Triple blind submission guidelines

ICBK will adopt a triple blind submission and review policy for all submissions. Authors must hence not use identifying information in the text of the paper and bibliographies must be referenced to preserve anonymity. 

2.      What is triple blind reviewing?

The traditional blind paper submission hides the referee name from the authors. The triple-blind paper submission and review, in addition, also hides the authors’ names from the referees, and the referees’ names during review discussions. The names of authors and referees remain known only to the PC Chairs, and the author names are disclosed only after the ranking and acceptance of submissions are finalized. Although there is much debate on the merits and perceived benefits of triple blind reviewing, these are not discussed here. Our main purpose is to implement this policy in ICBK toward understanding the influence of the authors’ identity, whether conscious or unconscious, on the reviewer’s attitude toward a submission. Hence it is imperative that all authors of ICBK submissions work on concealing their identity in the content of the paper. It does not suffice to simply remove the authors’ names from the first page.

3.      How to prepare your submissions

  • The authors shall omit their names from the submission. For formatting templates with author and institution information, simply replace all these information in the template by “Anonymous”.

  • In the submission, the authors’ should refer to their own prior work like the prior work of any other author, and include all relevant citations. This can be done either by referring to their prior work in the third person or referencing      papers generically. For example, if your name is Jack and you have worked on classification, instead of saying “We extend our earlier classification model (Gordan 2010),” you may say “We extend Gordan’s (Gordan 2010) earlier classification model.”

  • The authors shall exclude citations to their own work which is not fundamental to understanding the paper, including prior versions (e.g., technical reports, unpublished internal documents) of the submitted paper. They should reference only necessary work using point (2). Hence, do not write: “In our previous work [5]” as it reveals that citation 5 is written by the current authors.

  • The authors shall remove mention of funding sources, personal acknowledgments, and other such auxiliary information that could be related to their identities. These can be reinstituted in the camera-ready copy once the paper is accepted for publication.

  • The authors shall make statements on well-known or unique systems that identify an author, as vague in respect to identifying the authors as possible.

  • The submitted files shall be named with care to ensure that authors’ anonymity is not compromised by the file name. E.g., do not name your submission “.pdf”, instead give it a name that is descriptive of the title of your paper, such as “NewApproachForClassfication.pdf” (or a shorter version of the same).

All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is confidential. There is no separate abstract submission step. There are no separate industrial, application, short paper or poster tracks. Manuscripts must be submitted electronically in online submission system. We do not accept email submissions.

LaTeX and Word Templates

To help ensure correct formatting, please use the style files for U.S. Letter as template for your submission. These include LaTeX and Word.

Violations of any of the above paper specifications may result in rejection of your paper. Please note that the Latex template does not allow for keywords. If you are using the Latex template, do not include keywords in your paper.


Honorary Chair:

Nanning Zheng Xi'an Jiaotong University, China

Conference Chairs:

Jim Hendler
Rensselaer Polytechnic Institute, USA 
Ruqian Lu 

Academy of Mathematics and Systems Science, 

Chinese Academy of Sciences

Program Committee Chairs:

Xindong Wu

Hefei University of Technology, China

University of Louisiana at Lafayette, USA

Tamer Ozsu
University of Waterloo, Canada

Panel Chairs:

Guoyin WangChongqing University of Posts and Telecommunications, China
Witold PedryczUniversity of Alberta, Canada

Finance Chair:

Lei Li
Hefei University of Technology, China

Local Arrangement Chair:

Qiping Zhang
Hefei University of Technology, China

Publication Chairs:

Huanhuan ChenUniversity of Science and Technology of China

Award Committee Chairs:

Jun Liu

Xi'an Jiaotong University, China 

Michel DumontierStanford University, USA

PhD Forum Chairs:

Zhi Jin Peking University, China
Dimitris KaragiannisUniversity of Vienna, Austria

Sponsorship Chairs:

Dandan SongBeijing Institute of Technology, China
Angel RubioCeit-IK4 Research Alliance, Spain

Publicity Chairs:

Xiaolong Jin

Institute of Computing Technology, 

Chinese Academy of Sciences

Francoise Soulie Fogelman

KXEN, France

Tianjing University, China

Tutorial Chairs:

Songmao Zhang

Academy of Mathematics and Systems Science, 

Chinese Academy of Sciences

Martin WirsingLudwig-Maximilian's University of Munich, Germany

Workshops Chairs:

Enhong Chen

University of Science and Technology of China

Alfredo CuzzocreaUniversity of Trieste, Italy

Program Committee:

Elena BaralisPolitecnico di TorinoItaly 
Christian BauckhageFraunhofer IAISGermany 
Rohan BaxterAustralian Taxation OfficeAustralia
Michelangelo CeciUniversity of BariItaly  
Keith ChanThe Hong Kong Polytechnic UniversityHong Kong
Huanhuan ChenUniversity of Science and Technology of ChinaChina
Jinjun ChenUniversity of Technology, SydneyAustralia
Lei ChenHong Kong University of Science and TechnologyHong Kong
James ChengThe Chinese University of Hong KongHong Kong 
Qiang ChengSouthern Illinois University CarbondaleUSA 
Xueqi Cheng

Institute of Computing Technology,

Chinese Academy of Sciences

Yiu-ming CheungHong Kong Baptist UniversityHong Kong
Peng CuiTsinghua UniversityChina
Manoranjan DashNanyang Technological UniversitySingapore
Sarah Jane DelanyDublin Institute of TechnologyIreland
Ayhan DemirizGebze Technical UniversityTurkey
Giuseppe DesoldaUniversity of Bari "Aldo Moro"Italy 
Wei DingUniversity of Massachusetts BostonUSA
Nemanja DjuricUber ATGUSA
Josep Domingo-FerrerUniversitat Rovira i VirgiliSpain
Guozhu DongWright State UniversityUSA 
Dejing DouUniversity of OregonUSA 
Stefano FerilliUniversity of Bari Aldo MoroItaly
Yun FuNortheastern UniversityUSA
Efstratios GallopoulosUniversity of PatrasGreece 
Aryya GangopadhyayUniversity of Maryland Baltimore CountyUSA
Ming GaoEast China Normal UniversityChina
Yang GaoBeijing Institute of TechnologyChina
Aris Gkoulalas-DivanisIBM Watson HealthUSA
Le GruenwaldUniversity of OklahomaUSA
Haibing GuanShanghai Jiaotong UniversityChina
Jie Gui

Hefei Institute of Physical Science

Chinese Academy of Sciences

Francesco GulloUniCreditItaly
Howard J. HamiltonUniversity of ReginaCanada
Haibo HeUniversity of Rhode IslandUSA
Jingrui HeArizona State UniversityUSA 
Xiaofeng HeEast China Normal UniversityChina
Shen-Shyang HoRowan UniversityUSA
Jaakko HollménAalto University School of ScienceFinland
Andreas HothoUniversity of WuerzburgGermany
Bin HuLanzhou UniversityChina
Heng HuangUniversity of Texas at ArlingtonUSA
Nitin IndurkhyaAI Data-Miner LLCUSA
Alfred InselbergTel-Aviv UniversityIsrael
Szymon JaroszewiczInstitute of Computer Science, Polish Academy of SciencesPoland
He JiangDalian University of TechnologyChina
Meng JiangUniversity of Illinois at Urbana-ChampaignUSA
Licheng JiaoXidian UniversityChina 
Hai JinHuazhong University of Science and TechnologyChina
Xiaolong JinInstitute of Computing Technology, Chinese Academy of SciencesChina
Konstantinos KalpakisUniversity of Maryland, Baltimore CountyUSA
Kamalakar KarlapalemInternational Institute of Information Technology HyderabadIndia 
Mehmet KayaFirat UniversityTurkey
Larry KerschbergGeorge Mason UniversityUSA
Latifur KhanUniversity of Texas at DallasUSA 
Stefan KramerJohannes Gutenberg University MainzGermany 
Ercan KuruogluISTI-CNR Italy 
Wai LamThe Chinese University of Hong KongHong Kong
Jean-Charles LamirelTALARIS- LORIAFrance
Xuguang LanXi'an Jiaotong UniversityChina 
Anne LaurentUniversity Montpellier 2France 
Aleksandar LazarevicUnited Technology Research CenterUSA 
Guoliang LiTsinghua UniversityChina  
Jiuyong LiUniversity of South AustraliaAustralia  
Ming LiUniversity of WaterlooCanada 
Peipei LiHefei University of TechnologyChina
Qing LiCity University of Hong KongHong Kong
Tao LiFlorida International UniversityUSA
Xiaoli LiInstitute for Infocomm ResearchSingapore
Huan LiuArizona State UniversityUSA
Huawen LiuUniversity of South AustraliaAustralia
Jun LiuXi'an Jiaotong UniversityChina
Lei LiuHuaweiUSA
Mengchi LiuCarleton UniversityCanada
Qi LiuUniversity of Science and Technology of ChinaChina
Grigorios LoukidesKing's College LondonUnited Kingdom
Simone LudwigNorth Dakota State UniversityUSA
Shuai MaBeihang UniversityChina
Sanjay MadriaUniversity of Missouri-RollaUSA
Arun MaiyaInstitute for Defense AnalysesUSA
Donato MalerbaUniversity of BariItaly
Bradley MalinVanderbilt UniversityUSA
Giuseppe MancoICAR-CNRItaly 
Murali ManiUniversity of Michigan, FlintUSA
Brandeis MarshallSpelman CollegeUSA
Sameep MehtaIBMIndia
Nasrullah MemonUniversity of Southern DenmarkDenmark
Ernestina MenasalvasUniversidad Politecnica de MadridSpain
Prasenjit MitraPennsylvania State UniversityUSA
Anna MonrealeUniversity of PisaItaly
Christine O'Keefe

Commonwealth Scientific and Industrial Research Organisation

Riccardo OrtaleICAR-CNRItaly
Dimitris PapadiasHong Kong University of Science and TechnologyChina
Jian PeiSimon Fraser UniversityCanada
Ruggero G. PensaUniversity of TorinoItaly
Jean-Marc PetitUniversity de LyonFrance
Giuseppe PsailaUniversity of BergamoItaly
Ali QamarNational University of Science and Technology Pakistan Pakistan
Chedy RaissiINRIA NancyFrance
Alessandra RaffaetàUniversity of VeniceItaly
Davood RafieiUniversity of AlbertaCanada
Vijay RaghavanUniversity of Louisiana- LafayetteUSA
Ganesh RameshSAP AribaUSA
Jan RamonKatholieke Universiteit LeuvenBelgium
Sanjay RankaUniversity of FloridaUSA
Zbigniew RasUniversity of North Carolina at CharlotteUSA
Jan RauchUniversity of Economics, PragueCzech Republic
Sourav S BhowmickNanyang Technological UniversitySingapore
Reza SadoddinUniversity of AlbertaCanada
Lorenza SaittaUniversity del Piemonte OrientaleItaly
Saeed SalemNorth Dakota State UniversityUSA
Yucel SayginSabanci UniversityTurkey
Peter ScheuermannNorthwestern UniversityUSA
Friedhelm SchwenkerUniversity of UlmGermany
Jialie ShenSingapore Management UniversitySingapore
Victor ShengUniversity of Central ArkansasUSA
Zhongzhi Shi

Institute of Computing Technology, Chinese Academy of Sciences

Kyuseok ShimSeoul National UniversityRepublic of Korea
Dan SimoviciUniversity of Massachusetts at BostonUSA
Andrzej Skowron

University of Warsaw and Systems Research Institute, Polish Academy of Siences  

V.S. SubrahmanianUniversity of Maryland, College ParkUSA
Chih-Hua TaiNational Taipei UniversityTaiwan
Ah-Hwee TanNanyang Technological UniversitySingapore
Maguelonne TeisseireTETIS - CemagrefFrance
Masahiro TerabeMitsubishi Research Institute, Inc.Japan
Takao TeranoTokyo Institute of TechnologyJapan
Hang Hang TongArizona State UniversityUSA
Panayiotis TsaparasMicrosoft ResearchUSA
Shusaku TsumotoShimane UniversityJapan
K.P. Unnikrishnan

Global Data Insight & Analytics (GDIA), Ford Motor Company

Vassilios VerykiosHellenic Open UniversityGreece
Chang-Dong WangSun Yat-sen UniversityChina
Guoyin WangChongqing University of Posts and TelecommunicationsChina
Hao WangChinese Academy of SciencesChina
Jason T. L. WangNew Jersey Institute of TechnologyUSA
Jianyong WangTsinghua UniversityChina
Lipo WangNanyang Technological UniversitySingapore
Ji-Rong WenRenmin University of ChinaChina
Adalbert WilhelmJacobs University BremenGermany
Stefan WrobelFraunhofer IAIS and University of BonnGermany
Gongqing WuHefei University of TechnologyChina
Yanghua XiaoFudan UniversityChina
Xing XieMicrosoft ResearchChina
Hui XiongRutgers UniversityUSA
Guandong XuUniversity of Technology, SydneyAustralia
Takahira YamaguchiKeio UniversityJapan
Yiyu YaoUniversity of ReginaCanada
Jin Soung YooIndiana University - Purdue University Fort WayneUSA
Linlin YouSingapore University of Technology and DesignSingapore
Jeffrey YuThe Chinese University of Hong KongChina
Demetris ZeinalipourUniversity of CyprusCyprus
Aidong ZhangUniversity at Buffalo, The State University of New YorkUSA
Jing ZhangNanjing University of Science and TechnologyChina
Min-Ling ZhangSoutheast UniversityChina 
Peng ZhangUniversity of Technology, SydneyAustralia
Songmao ZhangAcademy of Mathematics and Systems Science, Chinese Academy of SciencesChina
Weixiong ZhangWashington University in St. LouisUSA
Yanchun ZhangVictoria UniversityAustralia
Yu ZhengMicrosoft Research AsiaChina
Ning ZhongMaebashi Institute of TechnologyJapan
Aoying ZhouEast China Normal UniversityChina
Zhi-Hua ZhouNanjing UniversityChina
Feida ZhuSingapore Management UniversitySingapore
Xingquan ZhuFlorida Atlantic UniversityUSA


All attendees/participants should register to the conference through the online registration system. We have discounts for IEEE members and students. There is also an early-bird rate. The registration fees in US Dollar are as follows.

1. Advance Registration (early-bird deadline is June 23, 2017)

 IEEE Member Registration (conference & workshop) $600
 Non IEEE Member Registration (conference & workshop) $720
 Student IEEE Member Registration (conference & workshop) $330
 Student Non IEEE Member Registration (conference & workshop) $600
 Life/Retired members Fee (conference & workshop) $330

2. Late/On-site Registration


 IEEE Member Registration (conference & workshop) $720
 Non IEEE Member Registration (conference & workshop) $864
 Student IEEE Member Registration (conference & workshop) $396
 Student Non IEEE Member Registration (conference & workshop) $720
 Life/Retired members Fee (conference & workshop) $396


(1) The registration allows you to participate both the conference and affiliated workshops, daily coffee breaks, lunch, reception, and banquet. Also it includes the conference or workshop proceedings on a USB drive.

(2) The Advance registration deadline is June 23, 2017. Late/On-site registration is also available with a higher fee.

(3) For each accepted paper, at least one author must register at the full rate (IEEE Member Registration $600\ Non IEEE Member Registration $720 before early-bird deadline), even if all authors are students.

(4) Authors of each accepted paper can publish up to 2 extra pages at a charge of  $125/page.

(5) If you have multiple accepted papers, each paper must have a separate full registration. 

(6) IEEE Member Registration: IEEE Members (including professional members and student members) must provide their Membership Number for verification during registration.

Visa Application 

 If you need an invitation letter for visa application to China for the IEEE ICBK 2017 conference, please contact: with the following information:

  • Name

  • Address

  • Email

  • Citizenship

  • Passport Number

    If you are an author of IEEE ICBK 2017 paper (main conference paper, or workshop paper), please also include the paper id, title.


ICBK is a premier forum for presenting and discussing current research in big knowledge science and engineering. Therefore, at least one author of each accepted paper should complete the conference registration and present the paper at the conference, in order for the paper to be included in the proceedings and conference program.


The conference hotel will be Shangri-La Hefei (

Shangri-la Hotel Hefei Reservation Information:

Deluxe King Room (45㎡): CNY430 net

Deluxe Twin Room (45㎡): CNY430 net

The above rates include: service charge, government tax and Breakfast. The price is limited to the duration of the meeting. 

Reservation Tel: 0551-6297 9766

                           (09:00am-18:00pm GMT+8) 

Reservation E-mail:

                                (09:00am-18:00pm GMT+8)

Online Booking: Individual reservations under the group rate can now be booked on the website with the following direct hyperlink. The hotel and Group Code will be pre-selected if this direct hyperlink is used:

Alternatively, guests can make their bookings directly on Shangri-La website using the Group Code:
1) Go to the Shangri-La website.
2) Select the appropriate hotel and enter all the necessary stay requirements like check-in date, check-out date, number of rooms, adults and children.
3) Under the "Special Rate" area, select "Group Code" and enter the Group Code.
4) Click the Check Availability button to continue.
5) If all the search criteria are correct and rooms are still available for the group, the group rate will be returned in the availability search result. Simply follow the on-screen instructions to complete the online booking

Tourist information

Should you have some time off to visit Huanshan, which is near to Hefei and very famous in China, during your stay, please find below some additional information.

The description about Huangshan in Wikipedia:

The description about Huangshan in UNESCO World Heritage Centre:

Keynote 1: Tracking in Dynamic Networks

Keynote Speaker: Jian Pei, Simon Fraser University.


In many application scenarios ranging from social networks to IoT, we need to process and analyze a huge amount of data, connected, evolving, linkages being more interesting than entities individually.  Modeling such temporal data in nature as graphs provides a conceptually convenient way to support novel and meaningful intelligent applications.  At the same time, it also posts grant challenges in many aspects, such as algorithm design and computing system development.  In this talk, I will present some interesting and novel application scenarios where graphs play a central role, as well as the corresponding algorithms.  Moreover, I will briefly introduce our on-going effort to build a distributed cloud-based graph computing engine that can query huge graphs and networks in seconds.

Short Bio:

Jian Pei is a Canada Research Chair (Tier 1) in Big Data Science and a Professor in the School of Computing Science at Simon Fraser University. His expertise is on developing effective and efficient data analysis techniques for novel data intensive applications. He is one of the most cited authors in data mining, database systems, and information retrieval. Since 2000, he, with H-index 73, has published one textbook, two monographs and over 200 research papers in refereed journals and conferences, which have been cited by more than 67,000 in literature. His research has generated remarkable impact substantially beyond academia. He is the recipient of several prestigious awards, such as the IEEE ICDM Research Contributions Award and the ACM SIGKDD Service Award. He is an ACM Fellow and an IEEE Fellow.

Keynote 2: Deep Learning in Bioinformatics

Keynote Speaker: Ming Li, University of Waterloo.


I will discuss several applications of deep learning in bioinformatics, and focus on our recent work on de novo peptide sequencing by deep learning. De novo peptide sequencing from tandem mass spectrometry data is the key technology in proteomics for the characterization of proteins, especially for antibodies. During the past 20 years, many traditional computer science algorithms were developed for this problem. These algorithms include dynamic programming, linear programming, HMM, graph algorithms, and statistical methods. Deep learning significantly improves these traditional approaches.

This is joint work with H.N. Tran, X. Zhang, L. Xin and P. Shan, to appear in PNAS.

Short Bio:

Dr. Ming Li is a Canada Research Chair in Bioinformatics and a University Professor at the University of Waterloo. He is a fellow of the Royal Society of Canada, ACM, and IEEE. He is a recipient of E.W.R. Steacie Fellowship Award in 1996, the 2001 Killam Fellowship, and the 2010 Killam Prize. Together with Paul Vitanyi they have co-authored the book "An Introduction to Kolmogorov Complexity and Its Applications".