Bowei Chen

Smiley face I am a Lecturer (~Assistant Professor) in Data Science in the School of Computer Science at the University of Lincoln, and a member of the Machine Learning Group. Prior to joining Lincoln, I received my PhD in Computer Science from the University College London, where I was with the Media Futures Group and the Centre for Doctoral Training in Financial Computing and Analytics. I am a Visiting Research Fellow at the University of Bath School of Management, and an Associate Editor of Electronic Commerce Research and Applications. I have served as reviewer for Information and Management, Journal of the American Society for Information Science and Technology, WWW, SIGIR, AISTATS, WSDM, CIKM, ICANN, etc. Previously, I was a Visiting Scholar at the National University of Singapore, Internship Researcher at Microsoft Research Cambridge, Data Scientist & Quantitative Consultant in several IT and financial companies.

My research interests are broadly in the overlap among machine learning, data mining and business analytics. I am interested in developing intelligent algorithms and data solutions around three main themes: computational advertising, quantitative finance, and computer information systems. If you are interested in my research or have any suggestions, please get in touch with me.

Contact Info

  • Office: Room 3106, Isaac Newton Building, University of Lincoln, UK, LN6 7TS
  • Phone: +44(0)1522886781 | Email: bchen@lincoln.ac.uk | Skype: bowei_chen_
  • Office hours: Monday 14:00-16:00, 2017-2018 Semester B (please do email ahead if you'd like to see me)

Opportunities

I shall join the Adam Smith Business School of the University of Glasgow in early 2018. I am interested in supervising new PhD researchers in the areas of data science, computational advertising, quantitative finance, and business analytics. I would expect potential candidates to have a passion for research and be highly self-motivated, and particuarly welcome canidates from technical background such as computer science, engineering, mathematics and statistics. If you are interested, please contact me at bowei.chen@hotmail.com


Research

Preprints

  • Pricing average price advertisement options when underlying spot market prices are discontinuous
    Bowei Chen and Mohan S. Kankanhalli
    In arXiv (under Review), 2017
    PDF (paper) | Link

  • Combining guaranteed and spot markets in display advertising: selling guaranteed page views with stochastic demand
    Bowei Chen, Jingmin Huang, Yufei Huang, Stefanos Kollias and Shigang Yue
    In arXiv (Working Paper), 2017
    PDF (paper) | Link

Publications

  • MM2RTB: bringing multimedia metrics to real-time bidding
    Xiang Chen, Bowei Chen and Mohan S. Kankanhalli
    In Proceedings of International Workshop on Data Mining for Online Advertising (AdKDD, KDD Workshop), 2017
    PDF (paper) | Data | Link

  • Optimizing trade-offs among stakeholders in real-time bidding by incorporating multimedia metrics
    Xiang Chen, Bowei Chen and Mohan S. Kankanhalli
    In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 205-214, 2017
    PDF (paper) | Data | Link

  • Risk-aware dynamic reserve prices of programmatic guarantee in display advertising
    Bowei Chen
    In Proceedings of the 16th IEEE International Conference on Data Mining Workshops (ICDMW), pp. 511-518, 2016
    PDF (paper) | PDF (slides) | Link

  • A lattice framework for pricing display advertisement options with the stochastic volatility underlying model
    Bowei Chen and Jun Wang
    Electronic Commerce Research and Applications, Volume 14, Issue 6, pp. 465-479, 2015
    PDF (paper) | PDF (supplymentary material) | Codes (Matlab) | Link

  • Multi-keyword multi-click advertisement option contracts for sponsored search
    Bowei Chen, Jun Wang, Ingemar J. Cox, and Mohan S. Kankanhalli
    ACM Transactions on Intelligent Systems and Technology, Volume 7, Issue 1, Article No. 5, 2015
    PDF (paper) | PDF (slides) | Link

  • A dynamic pricing model for unifying programmatic guarantee and real-time bidding in display advertising
    Bowei Chen, Shuai Yuan, and Jun Wang
    In Proceedings of the 8th International Workshop on Data Mining for Online Advertising (AdKDD, KDD Workshop), pp. 1-9, 2014 (Best Paper Award)
    PDF (paper) | PDF (slides) | Link

  • An empirical study of reserve price optimisation in real-time bidding
    Shuai Yuan, Jun Wang, Bowei Chen, Peter Mason, and Sam Seljan
    In Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 1897-1906, 2014
    PDF (paper) | Link

  • To personalize or not: a risk management perspective
    Weinan Zhang, Jun Wang, Bowei Chen, and Xiaoxue Zhao
    In Proceedings of the 7th ACM Conference on Recommender Systems (RecSys), pp. 229-236, 2013
    PDF (paper) | Link

  • Selling futures online advertising slots via option contracts
    Jun Wang and Bowei Chen
    In Proceedings of the 21st International World Wide Web Conference (WWW), pp. 627-628, 2012
    PDF (paper) | PDF (poster) | Link


Teaching

University of Lincoln

  • Business Intelligence (2016-2017 | 2017-2018, Year 3)
  • Data Science Tools and Techniques (2017-2018, Year 3)
  • Algorithms for Data Mining (2017-2018, Year 3)
  • Data Science (2016-2017, Year 3)
  • Business Processes (2015-2016 | 2016-2017, Year 2)
  • Information Systems for Practice (2015-2016, Year 1)
  • Social Media and Society (2015-2016, Year 1)


Miscellaneous

© Bowei Chen 2017