Department of Engineering / Profiles / Dr. Shuai Li

Department of Engineering

Dr. Shuai Li

sl814

Shuai Li

Research Associate

Academic Division: Mechanics, Materials and Design

Research group: Engineering Design

Telephone: +44 1223 7 48245

Email: sl814@eng.cam.ac.uk

Personal website

Publications


Research interests

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

[Contact]

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

Research projects

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 activity

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

Lecturer:  Dr. Shuai Li

Research opportunities

(Invited) Talks/Tutorials

"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 

Other positions

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

Biography

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.

Department role and responsibilities

Selected Papers

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