Profile

A highly educated academic with over 35 years of research and teaching experience in 4 British Universities and 2 Chinese Universities. His research interests include Big Data Analytics, Distributed AI, Knowledge Engineering (KE), Agent and Multi-agent Systems, Grid Technology and HCI. He has taught modules include AI, Disruptive Technologies, Big Data Analytics, Semi-structured Databases, and Technologies for e-Commerce. He has supervised two PhD students to completion and three PhD students on going and many master students. He has published a Book in title of "Foundation for Big Data Analytics: Concepts, Technologies, Methods and Business" (ISBN: 978-7-03-058148-8), and over 120 Journal and Conference papers. He has wide industrial research connections and worked with IBM, Oracle and Microsoft, Baidu and iFlyTek, etc. He has extensive experience in the application of big data analysis, artificial intelligence and knowledge maps in the fields of business, industry and finance.
Gangmin Li
  • Qualifications

    • Ph.D. , The Open University, - 1998
    • MSc , University of York, - 1995
    • B.Sc (hons) , Northwest Polytechnic University, - 1983
  • Experience

    • CSSE, Xi'an Jiaotong Liverpool University - 2009 to Present
    • Senior Research Fellow, OMII, University of Southampton - 2004 to 2009
    • Research Fellow, KMI, The Open University - 2000 to 2004
    • Research fellow, HDCI, The City University - 1999 to 2000
    • Research Fellow, University of York - 1994 to 1995
    • Lecturer, NorthenWest Polytechnic University - 1983 to 1994
  • Research interests

    • Distributed AI
    • Big Data Analytics
    • Grid, Clouds Computing
    • Web Science
    • Knowledge Enginerring
  • Articles

    • Gautam Pal, Xianbin Hong, Zhuo Wang, Hongyi Wu, Gangmin Li, Katie Atkinson (2019) “Lifelong Machine Learning and Root Cause Analysis for Large-Scale Cancer Patient Data”. Journal of Big Data, Big Data BIGD-D-19-00093R1
    • Gautam Pal* , Gangmin Li and Katie Atkinson (2018) “Multi-Agent Big-Data Lambda Architecture Model for E-Commerce Analytics”, Data 2018, 3(4), 58; https://doi.org/10.3390/data3040058
    • Gangmin Li, Minghuang Chi (2018), "Expert CF: Solving Data Matrix Sparsity and Computation Complexity Problems", Transactions on Machine Learning and Artificial Intelligence, Volume 6, No. 2. 2018. ISBN 2054-7390. DOI: 10.14738/tmlai.62.4337, URL: http://dx.doi.org/10.14738/tmlai.62.4337
    • Gautam Pal *, Gangmin Li , Katie Atkinson (2018). “Multi-agent Big Data Lambda Architecture Model for E-Commerce Analytics”, accepted by International journal of Data by MDPI Postfach, CH-4020 Basel, Switzerland
    • Gangmin Li, Minghuang Chi (2017), “expertSFCF: Improving CF with Expert and Fusion”. Special Issue of the International Journal IJDATICS (ISSN: 2223523X) , 2017.
    • Wei Bai, Emmanuel Tadjouddine, Terry Payne, Gangmin Li (2017), “Dialogue Based Decision Making in Online Trading”, Transactions on Machine Learning and Artificial Intelligence, Volume 5, No 3, June 2017, ISSN (online) 2169-4726,  DOI: http://dx.doi.org/10.14738/tmlai.53.3390.
    • Gangmin Li (2016). “Organisational Knowledge Acquisition with Contested Collective Intelligence in the Web Environment”, Software Engineering, 2016; 4(2); 41-49;
    • Sun, Gang, Chang, Victor, Ramachandran, Muthu, Sun, Zhili, Li, Gangmin, Yu, Hongfang and Liao, Dan (2016), “Efficient location privacy algorithm for Internet of Things (IoT) services and applications”, Journal of Network and Computer Applications, pp. 1-11.
    • Gangmin Li, Zhun Shen (2013), “A Middleware Architecture for Price Comparison Service on Mobile Phones”, Procedia Computer Science, Volume 17, 2013, Pages 545-553;
    • Simon Buckingham Shum, Victoria S. Uren, Gangmin Li, Bertrand Sereno, Clara Mancini (2007), “Modeling naturalistic argumentation in research literatures: Representation and interaction design issues”. Int. J. Intell. Syst. 22(1) (2007): 17-47
    • Buckingham Shum, S., Bachler, M., Li, G.(2006), “Sensemaking Tools for Understanding Research Literatures: Design, Implementation and User Evaluation.” International Journal of Human Computer Studies, Vol.64, (2006) 5, PP:420-445.
    • G. Li, A. A. Hopgood, and M. J. Weller (2003), “Shifting Matrix Management: a model for multi-agent cooperation”. Engineering Applications of Artificial Intelligence, 16 (2003), pp191-201.
    • Uren, V., Shum, S.B., Li, G., Domingue, J., Motta, E.(2003) “Scholarly publishing and argument in hyperspace”, Proceedings of the 12th International Conference on World Wide Web, WWW 2003, pp. 244-250
    • Gangmin Li, Victoria S. Uren, Enrico Motta, Simon Buckingham Shum, John Domingue (2002), “ClaiMaker: Weaving a Semantic Web of Research Papers.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2342 LNCS , 2002, pp. 436-441.
  • Proceedings

    • (2019-2020) Zhuo Wang, Yanghui Zhou and Gangmin Li (2020), “Anomaly detection by using Streaming K-Means and Batch K-Means”, IEEE 5th International Conference on Big Data Analysis (ICBDA 2020, March 6-9, 2020, Xiamen, China.
    • (2018-2019) Gangmin Li, Jinying Zhong (2019), “Evaluation of Ensemble Approaches in Sentiment Analysis”, 2019 International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC2019), Sanya, China, December 19-21, 2019.
    • (2018-2019) Ziyue Qiu, Yuming Li, Pin Ni and Gangmin Li (2019), “Credit Risk Scoring Analysis Based on Machine Learning Models”, in the proceedings of IEEE 2019 6th International Conference on Information Science and Control Engineering (ICISCE 2019), December 20-22, 2019, in Shanghai, China.
    • (2018-2019) Zhuo Wang, Yanghui Zhou and Gangmin Li (2019), “Anomaly detection for machinery by using Big Data Real-Time  processing and clustering technique”, The 3rd International Conference on Big Data Research (ICBDR 2019), EISTI, Paris, France, Nov. 20-22, 2019
    • (2018-2019) Yuming Li, Pin Ni, Gangmin Li, Xutao Wang and Zhenjin Dai (2019), “Inter-Personal Relation Extraction Model Based on Bidirectional GRU and Attention Mechanism”, 2019 5th IEEE International Conference on Computer and Communications (ICCC), Chengdu, China, December 6-9, 2019. Proceddings p1867-1871. ISBN:978-1-7281-4742-0.
    • (2018-2019) Haowei song, Gangmin Li, Suzhe Hou, Yuanying Qu, Xuming Bai (2019), “Using Structured event to represent complaints of patients: a medical assistant for doctors”, 2019 5th IEEE International Conference on Computer and Communications (ICCC), Chengdu, China, December 6-9, 2019. Proceddings p2193-2197. ISBN:978-1-7281-4742-0.
    • (2018-2019) Yuming Li, Pin Ni, Junkun Peng, Jiayi Zhu, Zhenjin Dai, Gangmin Li and Xuming Bai, “A Joint Model of Clinical Domain Classification and Slot Filling Based on RCNN and BiGRU-CRF”, 2019 IEEE International Conference on Big Data (IEEE BigData 2019), December 9-12,2019, Los Angeles, CA, USA.
    • (2018-2019) Junkun Peng, Pin Ni, Jiayi Zhu, Zhenjin Dai, Yuming Li, Gangmin Li, and Xuming Bai, “Automatic Generation of Electronic Medical Record Based on GPT2 Model”, 2019 IEEE International Conference on Big Data (IEEE BigData 2019), December 9-12,2019, Los Angeles, CA, USA.
    • (2018-2019) Jiayi Zhu, Pin Ni, Yuming Li, Junkun Peng, Zhenjin Dai, Gangmin Li, and Xuming Bai, A Word2vec Based on Chinese Biomedical Domain Knowledge”, 2019 IEEE International Conference on Big Data (IEEE BigData 2019), December 9-12,2019, Los Angeles, CA, USA.
    • (2018-2019) Pin Ni, Yuming Li, Jiayi Zhu, Junkun Peng, Zhenjin Dai, Gangmin Li, and Xuming Bai, Disease Diagnosis Prediction of EMR Based on BiGRU-Att-CapsNetwork Model”, 2019 IEEE International Conference on Big Data (IEEE BigData 2019), December 9-12,2019, Los Angeles, CA, USA.
    • (2018-2019) Haowei song, Gangmin Li, Suzhe Hou, Yuanying Qu, Xuming Bai (2019), “Translate and Summarize Complaints of Patient to Electronic Health Record by BiLSTM-CNN Attention model”, the 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2019), Huaqiao, Suzhou, China, 19 - 21 October 2019.
    • (2018-2019) Gangmin Li, Haowei Song, yuanying qu, Liu Lu, Xuming Bai (2019), “Medical diagnosis by of Patients’ Complaints and Machine Learning”, the 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2019), Huaqiao, Suzhou, China, 19 – 21, October, 2019.
    • (2018-2019) Zhenjin Dai, Xutao Wang, Pin Ni, Yuming Li, Gangmin Li, Xuming Bai (2019), “Named Entity Recognition based on Language Model and BiLSTM-CRF for Chinese Electronic Health Records”, the 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2019), Huaqiao, Suzhou, China, 19 - 21 October 2019.
    • (2018-2019) Gangmin Li *# , Yifu Qian, Yingjian Huang Jiamin Chen and Xuming Bai (2019), “Building Electronic Health Record using Voice Recognition and Big Data Techniques”, Proceedings of the 2nd Symposium on Health and Education 2019 (SOHE 2019) May 24-26, 2019, Suzhou, China. Published on “Advances in Social Science, Education and Humanities Research”, May 2019, ISBN 978-94-6252-731-7, ISSN, 2352-5398, DOI: https://doi.org/10.2991/sohe-19.2019.23, https://download.atlantis-press.com/article/125909252.pdf
    • (2018-2019) Gangmin Li#, Yilin Zhao and Yong Yue (2019), “A Model to Harness Heterogeneous data for Urban Traffic”, proceddings of 2019 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, ELECTRICAL AND ELECTRONIC ENGINEERING (ITEEE 2019), P296-301, Sanya, China. Jan 20-21, 2019, ISBN: 978-1-60595-606-0, ISSN: 2475-8841, DOI: 10.12783/dtcse/iteee2019/28759, http://www.dpi-proceedings.com/index.php/dtcse/article/view/28759/27843
    • (2017-2018) Gangmin Li#, Jianze Gu and Xuming Bai (2018). “Study of the Effectiveness of TIVAPDS Treatment on Cancer through BD”, ICSAI2018, Nanjing, China, 10-12th Nov, 2018. Due to publish on IEEE Conference Record Number 46413XP, ISBN:978-1-7281-0119-4. DOI: 10.1109/ICSAI.2018.8599466, https://ieeexplore.ieee.org/document/#
    • (2017-2018) Gangmin Li# and Songhua Liu (2018) , “Research on Design a Patient Satisfaction Scoring Model”, ISERD - 466th International Conference on Medical and Health Sciences (ICMHS), Paper Code – 8609, 2018-10-02, Dublin, Ireland
    • (2017-2018) Gautam Pal, Gangmin Li and Katie Atkinson (2018), “Implicit Feedback Based Recommender System Using Big Data Item-to-Item Collaborative Filtering", IEEE Big Data 2018, Dec 10-13, 2018, Seattle, WA, USA
    • (2017-2018) Gangmin Li and Shiyang Zhang (2018), “Evaluate Cancer Patients Quality of Life after Receiving TIVAPDS Treatment through Big Data Analytics”, CICET’2018, 29-31 October 2018, Tamsui Campus, Tamkang University, New Taipei, Taiwan, paper 28
    • (2017-2018) Gangmin Li and Bei Yao (2018), “Classification of Genetic Mutations for Cancer Treatment with Machine Learning Approaches”, CICET’2018, 29-31 October 2018, Tamsui Campus, Tamkang University, New Taipei, Taiwan. Paper 27
    • (2016-2017) Scenario-based iterative teaching model for building innovative skills In: The conference on teaching and learning reform and skills build in Internet+ age, pp.
    • (2016-2017) Big Data Analytics: Another buzzword with in an old concept - but why? In: International conference on Big Data Analytics and Business Intelligence, pp.
    • (2016-2017) Collaborative Filtering with Experts' Opinion In: International conference on Big Data Analytics and Business Intelligence, pp.
    • (2016-2017) Geographical Data Driven-Service For Mobile Applications In: International conference on Big Data Analytics and Business Intelligence, pp.
    • (2016-2017) Predicting users' demographic characteristics with XGboost In: International conference on Big Data Analytics and Business Intelligence, pp.
    • (2016-2017) Valuable users predication with Gradient Boosting for Rad Hat In: International conference on Big Data Analytics and Business Intelligence, pp.
    • (2016-2017) Chaining different analyses in a Big Data Application In: International conference on Big Data Analytics and Business Intelligence, pp.
    • (2016-2017) Innovation driven teaching and learning: CSE313 Big Data Analytics module report In: 2017 XJTLU Annual Learning and Teaching Colloquium, pp.
    • (2016-2017) A Multi-Agent Model for Big Data Analytics through Knowledge Graph In: International conference on Big Data Analytics and Business Intelligence, pp.
    • (2016-2017) Innovation-Driven Teaching and Learning in Internet+ Age In: The third International conference on Education and Social Development, ICESD2017, pp.
    • (2016-2017) Organisational Knowledge Acquisition with Contested Collective Intelligence in the Web Environment In: ICEECS2016, pp.
    • (2016-2017) Formalisation of Contested Collective Intelligence In: IIE Int'l Conference on Latest Trends in Engineering and Technology (ICLTET'2016), pp.
    • (2015-2016) Contested Collective Intelligece for Knowledge Networks Construction and Services In: International conference on Computing and Technoligy Innovation (CTI 2015), pp.
    • (2013-2014) A Middleware Architecture for Price Comparison Service on Mobile Phones In: the First International Conference on Information Technology and Quantitative Management, pp.
    • (2008-2009) Economic sense of Metcalfe's Law In: International Workshop on Understanding Web Evolution (WebEvolve2008), pp.
    • (2007-2008) Towards Grid Interoperability In: All Hands Meeting 2007, pp.
    • (2005-2006) The OMII Software Distribution In: All Hands Meeting 2006, pp.
    • (2004-2005) Computer Supported Collaborative Modelling of Naturalistic Argumentation in Research Literatures In: European Conference on Artificial Intelligence, pp.
    • (2004-2005) Modelling Naturalistic Argumentation in Research Literatures In: European Conference on Artificial Intelligence, pp.
    • (2002-2003) Scholarly Publishing and Argument in Hyperspace In: Twelfth International World Wide Web Conference, Budapest, Hungary, pp.
    • (2001-2002) ClaiMaker: Weaving a Semantic Web of Research Papers In: The 1st International Semantic Web Conference (ISWC2002), pp.
    • (2002-2003) Interfaces for capturing interpretations of research literature In: Knowledge Capture Conference, Florida, USA, pp.
    • (2001-2002) Designing Representational Coherence into an Infrastructure for Collective Sensemaking In: International Workshop on Infrastructures for Distributed Collective Practices, pp.
    • (2000-2001) E-Commerce and Inter-organisational Relationships In: Proceedings of ICeCE 2001, pp.
    • (2000-2001) Compendium: Making Meetings into Knowledge Events In: In Proc. of Knowledge Technologies 2001, pp.
    • (2000-2001) Connecting Business Modelling to Requirements Engineering In: SEBPC program, pp.
    • (1999-2000) Disembodied Agents: achieving decentralised control through a centralised blackboard In: Workshop on telematics, pp.
    • (1998-1999) Multi-agent systems: Towards Computers and Humans Cohabitation In: The 3rd Annual Meeting of Young Scientists, pp.
    • (1997-1998) Shifting Matrix Management - A Framework for Multi-agent Cooperation In: In Proceedings of PAAM'97, pp.
  • Books, monographs, compilations and manuals

    • “Foundation of Big Data Analytics: Concepts, Technologies and Business”. Autum, 2018. Publisher: China Science Publishing & Media Ltd.(CSPM). ISBN: 978-7-03-058148-8
  • Chapters, cases, readings and supplements

    • Sutcliffe, Alistair & Li, Gangmin 2002, 'Connecting Business Modelling to Requirements Engineering' in (eds) Systems Engineering for Business Process Change, Springer, pp.
    • Shum, S, Uren, Victoria, Li, Gangmin, Domingo, J & Motta, E 2002, 'Visualizing Internetworked Argumentation' in (eds) Visualizing Argumentation: Software Tools for Collaborative and Educational Sense-Making, Springer Verlag, pp.
  • Conference presentations

    • 2004-2005, Xi'an Interanltion Business Week / Economics View – impact of internet for Business
    • 2007-2008, Chinese Science of Academy, Beijing, 2007 / UK e-Sceince and Grid". Invited talk to Institute of Computing Technology
    • 2010-2011, Yancheng / Pragmatic Web – science or technology: Internet, Grid, Clouds and Internet of things
  • Grants

    • Li, Gangmin 2017, Principal Investigator, Jiangsu MooC module, 0.0000,
    • Li, Gangmin 2017, Principal Investigator, BDA-Med-Treat, 24000.0000,
    • Li, Gangmin 2017, Co-Principal Investigator, Conference supporting, 0.0000, Suzhou Science and Technology
    • Li, Gangmin 2017, Principal Investigator, BDA-Credit, 0.0000,
    • Li, Gangmin 2017, Principal Investigator, Accenture, 20000.0000,
    • Li, Gangmin 2017, Principal Investigator, SURF, 11500.0000,
    • Li, Gangmin 2017, Principal Investigator, RDF-BDA-CCI, 72000.0000,
    • Li, Gangmin 2016, Principal Investigator, Jiangsu Elite module Teach in English, 100000.0000,
    • Li, Gangmin 2016, Principal Investigator, RDF-BDA-MAS, 100000.0000,
    • Li, Gangmin 2016, Principal Investigator, New English Textbook, 50000.0000, Jiangsu Branding programme
    • Li, Gangmin 2016, Co-Investigator, Jiangsu Branding Programme, ,
    • Li, Gangmin 2008, Co-Investigator, SocialLearn, ,
    • Li, Gangmin 2004, Co-Investigator, OMII, ,
    • Li, Gangmin 2004, Co-Investigator, ScholOnto, ,
    • Li, Gangmin 2002, Co-Investigator, D3E, ,
    • Li, Gangmin 2000, Co-Investigator, CorK, ,
  • Professional service activities

    • 2017 International conference on Big Data Analytics and Business Intelligence.
  • Courses taught

    • CSE313 Big data analytics
    • CSE308 Technologies for E-Commerce
    • CSE309 Semi-structured or Web-like Databases
  • Awards and honours

    • 2016 Jiangsu Elite Module taught in English, Jiangsu DOE
  • Telephone

    +86 (0)512 512 8816 1510
  • Email

    Gangmin.Li@xjtlu.edu.cn
  • Address

    SD441
    Suzhou Dushu Lake Science and Education Innovation District
    Suzhou Industrial Park
    Suzhou
    P.R.China
    215123