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Engineering Design Centre

Dr. Shuai Li

 

Dr. Shuai Li

Dr. Shuai Li

Telephone: +44 1223 748245
Email: sl814@cam.ac.uk or sl814@cam.eng.cam.ac.uk

Departmental webpage

Personal website

Photo of Dr. Shuai Li

Biography

 

[Contact]

shuai.li@eng.cam.ac.uk or shuaili.sli@gmail.com

 

[Interest]

Machine Learning, Data Science, Artificial Intelligence, Information Retrieval, Computer Science, Mathematics, Robotics, Deep Learning, Reinforcement Learning, Human-Computer Interaction, Computer Vision, Natural Language Processing, Embedded Systems

 

[Introduction]

Dr. Shuai Li is a researcher at the University of Cambridge; he has 7+ years professional experience across Europe, North America, Middle East, and Asia Pacific; and 19+ years project experience in Computer and Information Engineering, Hardware and Software R&D, etc; also he served as CEO for the industry and released several successful products.

 

[Research Area]

Shuai's main area of research lies in machine learning approaches to data analysis. He has particular interests in the mathematical foundations of machine learning and corresponding practical real-world applications in a number of engineering domains with uncertain information, as well as expertise and experience in information and computer engineering. His recent research contains statistical learning theory, graph and matrix theory, algorithmic game theory, unsupervised learning, clustering, reinforcement learning, deep neural networks, collaborative filtering, and multi-armed bandits. He has been engaged in internationally leading research in the analysis of complex, dynamic data at scale, and brought state-of-the-art data mining and machine learning to the heart of industrial scale big data analytics and data science.

 

[Research Project]

The research projects develop ambitious and novel assistive technology for people with disabilities. Specifically, it aims to increase the communication rate and improve the user experience of people who use Augmentative and Alternative Communication Aids by developing the theory, algorithm, and application, which leverages environmental data to the probabilistic learning module. The role presents an opportunity to make major inroads into a novel application area of state-of-the-art machine learning techniques in real-time that takes the context information into account, etc.

 

[Teaching]

2012–2013 Course for postgraduate and undergraduate students: Data Mining Techniques, Inje University, South Korea

Lecturer:  Dr. Shuai Li

 

[Invited Talk]

"Recent Progress in Real-time Prediction" at University of Cambridge, Trumpington Street, Cambridge, UK, May 26, 2017

"Cutting-Edge Machine Learning for Finance" at University of Oxford, Walton Well Road, Oxford, UK, Apr 7, 2017

"The Art of Clustering Bandits" at University of Oxford, Parks Road, Oxford, UK, Mar 6, 2017

"State-of-the-art Recommender Systems" at Amazon Global HQ, Seattle, Washington, US, Feb 20, 2017

"Large-Scale Machine Learning" at PARC (Palo Alto Research Center), a Xerox company, California, US, Dec 6, 2016

"Beyond Big Data Analysis and Artificial Intelligence" at Yahoo Research, New York City, New York, US, Nov 7 - Nov 8, 2016

"Recent Advances in Reinforcement Learning" at Samsung Semiconductor, Inc., Los Angeles, California, US, Oct 31, 2016

"Stochastic Low-Rank Bandits: A Novel Online Approach" at Adobe, Inc., San Francisco Bay Area, California, US, Oct 20, 2016

"Online Optimization Methods for the Quantification Problem" at the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, California, US, Aug 13 - Aug 17, 2016

"Collaborative Filtering Bandits" at the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, Pisa, Tuscany, Italy, July 17 - July 21, 2016

"Distributed Clustering of Linear Bandits in Peer to Peer Networks" at the 33rd International Conference on Machine Learning, New York City, NY, US, June 19 - June 24, 2016

 

[Academic Service]

Advisory/Editorial Board Member/Associate Editor

The World Academy of Research in Science and Engineering (WARSE)

Journal of Astrophysics and Aerospace Technology (JAAT)

GSTF Journal on Computing (JoC)

International Journal of Engineering Business Management (AI Publications, IJEBM)

International Journal of Advances in Computer Science and Technology (IJACST)

International Journal of Research and Analytical Reviews (IJRAR)

International Journal of Psychotherapy Practice and Research (IJPR)

International Journal of Advanced Engineering Research and Science (IJAERS)

International Journal of Smart Device and Appliance (IJSDA)

Open Engineering, Central European Journal of Engineering

International Journal of Latest Trends in Engineering and Technology (IJLTET)

Journal of Communications Technology, Electronics and Computer Science (JCTECS)

Journal of Electrical Engineering and Electronic Technology (JEEET)

 

Advisory Committee/General Chair/Program Chair

The 2nd International Conference on Inventive Computation Technologies, Aug 24 - Aug 25, Coimbatore, Tamil Nadu, India (ICICT 2017)

The 6th World Conference on Applied Sciences, Engineering and Technology, Aug 26 - Aug 27, Universitas Muhammadiyah Ponorogo, Indonesia (WCSET 2017)

The International Conference on Computational Vision and Bio Inspired Computing, Sep 21 - Sep 22, Coimbatore, Tamil Nadu, India (ICCVBIC 2017)

The 2017 IEEE International Conference on Ubiquitous Intelligence and Computing, Main Research Track: Data Science and Computational Intelligence, Aug 4 - Aug 8, San Francisco, US (UIC-DSCI 2017)

The 2017 International Workshop on Social Media Mining and Analysis with IEEE International Conference on Cyber, Physical and Social Computing (CPSCom), Jun 21 - Jun 23, Exeter, UK (SMMA 2017)

The 2016 International Workshop on Social Media Mining and Analysis with IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), Smart World Congress (SWC) 2016, Jul 18 - Jul 21, Toulouse, France (SMMA 2016)

 

Area Chair/(Senior) Program Committee/Reviewer Service

The 21st International Conference on Artificial Intelligence and Statistics, Apr 9 - Apr 11, Lanzarote, Canary Islands, Atlantic Ocean (AISTATS 2018)

The 27th International Conference on World Wide Web, Apr 23 - Apr 27, Lyon, France (WWW 2018)

The 17th SIAM (Society for Industrial and Applied Mathematics) International Conference on Data Mining, May 3 - May 5, San Diego, California, US (SDM 2018)

The 11th ACM International Conference on Web Search and Data Mining, Feb 5 - Feb 9, Los Angeles, California, US (WSDM 2018)

The International IEEE Computing Conference, Jul 10 - Jul 12, London, UK (CC 2018)

The International IEEE Future of Information and Communication Conference, Apr 5 - Apr 6, Singapore (FICC 2018)

The International Workshop on Knowledge Extraction and Semantic Annotation, Apr 22 - Apr 26, Athens, Greece (KESA 2018)

The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Aug 7 - Aug 11, Tokyo, Japan (SIGIR 2017)

The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Aug 13 - Aug 17, Halifax, Nova Scotia, Canada (SIGKDD 2017)

The 17th IEEE International Conference on Data Mining, Nov 18 - Nov 21, New Orleans, Louisiana, US (ICDM 2017)

The 17th SIAM (Society for Industrial and Applied Mathematics) International Conference on Data Mining, Apr 27 - Apr 29, Houston, Texas, US (SDM 2017)

The 33rd International Conference on Uncertainty in Artificial Intelligence, Aug 12 - Aug 15, Sydney, Australia (UAI 2017)

The 31st Annual Conference on Neural Information Processing Systems, Dec 4 - Dec 9, Long Beach, California, US (NIPS 2017)

The 20th International Conference on Artificial Intelligence and Statistics, Apr 20 - Apr 22, Fort Lauderdale, Florida, US (AISTATS 2017)

The 26th International Joint Conference on Artificial Intelligence, Aug 19 - Aug 25, Melbourne, Australia (IJCAI 2017)

The International Workshop on Knowledge Extraction and Semantic Annotation, Apr 23 -  Apr 27, Venice, Italy (KESA 2017)

The International IEEE Intelligent Systems Conference, Sep 7 - Sep 8, London, UK (IntelliSys 2017)

The International IEEE Future Technologies Conference, Nov 29 - Nov 30, Vancouver, BC, Canada (FTC 2017)

The International IEEE Computing Conference, Jul 18 - Jul 20, London, UK (CC/SAI 2017)

The 3rd International Conference on Machine Learning, Optimization and Big Data, Sep 14 - Sep 17, Volterra, Tuscany, Italy (MOD 2017)

The 30th Annual Conference on Neural Information Processing Systems, Dec 5 - Dec 10, Barcelona, Spain (NIPS 2016)

The 25th International Conference on World Wide Web, Apr 11 - Apr 15, Montreal, Canada (WWW 2016)

The 16th SIAM (Society for Industrial and Applied Mathematics) International Conference on Data Mining, May 5 - May 7, Miami, Florida, US (SDM 2016)

The 10th ACM Conference on Recommender Systems, Sep 15 - Sep 19, Boston, MA, US (RecSys 2016)

The International Workshop on Social Media Mining and Analysis with IEEE International Conference on Computer and Information Technology (CIT), Oct 26 - Oct 28, Liverpool, UK (SMMA 2015)

IEEE Transactions on Knowledge and Data Engineering (TKDE)

Journal of Machine Learning Research (JMLR)

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

International and Interdisciplinary Scientific Journal of Computers

International and Interdisciplinary Scientific Journal of Entropy

IEEE Systems Journal

IEEE Transactions on Systems

International Journal of Operational Research

Springer Journal Neural Computing and Applications

 

Selected Publications

 

On Context-Dependent Clustering of Bandits

Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, and Evans Etrue

Proceedings of the 34th International Conference on Machine Learning, Journal of Machine Learning Research, pp. 1253-1262, Sydney, New South Wales, AU (ICML 2017)

 

Collaborative Filtering Bandits

Shuai Li, Alexandros Karatzoglou, and Claudio Gentile

Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 539-548, Pisa, Tuscany, IT (SIGIR 2016)

 

Distributed Clustering of Linear Bandits in Peer to Peer Networks

Nathan Korda, Balázs Szörényi, and Shuai Li

Proceedings of the 33rd International Conference on Machine Learning, Journal of Machine Learning Research, pp. 1301-1309, New York City, New York, US (ICML 2016)

 

Online Optimization Methods for the Quantification Problem

Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, and Fabrizio Sebastiani

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1625-1634, San Francisco, California, US (SIGKDD 2016)

 

Mining λ-Maximal Cliques from a Fuzzy Graph

Fei Hao, Doo-Soon Park, Shuai Li, and HwaMin Lee

Advanced IT based Future Sustainable Computing, Journal of Sustainability 2016, 8(6), pp. 553; doi: 10.3390/su8060553, Jun. 2016

 

The Art of Clustering Bandits

Shuai Li

Università degli Studi dell'Insubria, Dissertation, 2016

 

An Efficient Approach to Generating Location-Sensitive Recommendations in Ad-hoc Social Network Environments

Fei Hao, Shuai Li, Geyong Min, Hee-Cheol Kim, Stephen S. Yau, and Laurence T. Yang

IEEE Transactions on Services Computing, ISSN: 1939-1374, DOI: 10.1109, Issue: 99, pp. 520-533, IEEE Computer Society (TSC 2015)

 

Online Clustering of Bandits

Claudio Gentile, Shuai Li, and Giovanni Zappella

Proceedings of the 31st International Conference on Machine Learning, Journal of Machine Learning Research, pp. 757-765, Beijing, CN (ICML 2014)

 

Dynamic Fuzzy Logic Control of Genetic Algorithm Probabilities

Huijuan Guo, Yi Feng, Fei Hao, Shengtong Zhong, and Shuai Li

Journal of Computers, DOI: 10.4304/jcp. 9.1.22-27, Vol. 9, No. 1, pp. 22-27, Jan. 2014

 

Social Media Review Mining for Living Items with Probabilistic Approach

Shuai Li, Fei Hao, and Hee-Cheol Kim

Smart Media Journal, Media, Information Systems, ISSN:2287-1322, Vol. 2, No. 2, pp. 20-27, 2013

 

Medicine Rating Prediction and Recommendation in Mobile Social Networks

Shuai Li, Fei Hao, Mei Li, and Hee-Cheol Kim

Proceedings of the International Conference on Green and Pervasive Computing, Vol. 7861, pp. 216-223, Seoul, Korea, May. 9-11, 2013

 

(Best Paper Award) Machine Learning for Personalized Medicine

Shuai Li, Fei Hao, Mei Li, and Hee-Cheol Kim

Proceedings of Korea Institute of Smart Media Fall Conference, Vol. 1, No. 2, pp. 25-27, Korea, Nov. 30 - Dec. 1, 2012