Dr Bowei Chen

  • Senior Lecturer in Marketing Analytics and Data Science (Management)

telephone: 01413307032
email: Bowei.Chen@glasgow.ac.uk

241L, Gilbert Scott Building, G12 8QQ

ORCID iDhttps://orcid.org/0000-0002-4045-3253

Biography

Bowei Chen is a Senior Lecturer at the Adam Smith Business School. He has broad research interests related to the applications of probabilistic modelling and deep learning in business, with special focuses on marketing and finance. Previously, he was a Lecturer in the School of Computer Science at University of Lincoln, and has also held visiting, research and internship positions at Copenhagen Business School, University College London, Aarhus University, Université de Technologie de Belfort-Montbéliard, University of Bath, National University of Singapore, and Microsoft Research. Bowei received a PhD in Computer Science from University College London. [Homepage]

Research interests

Bowei is a member of the School's Marketing Research Cluster.

Areas of expertise:

  • Data Science
  • Machine Learning
  • Quantitative Marketing
  • Mathematical Finance
  • Information Systems

Publications

List by: Type | Date

Jump to: 2020 | 2019 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
Number of items: 13.

2020

Zheng, Y., Chen, B. , Hospedales, T. M. and Yang, Y. (2020) Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. In: 34th AAAI Conference on Artificial Intelligence (AAAI-20), New York, NY, USA, 07-12 Feb 2020, pp. 1242-1249. ISBN 9781577358350 (doi:10.1609/aaai.v34i01.5478)

Ni, J., Chen, B. , Allinson, N. M. and Ye, X. (2020) A hybrid model for predicting human physical activity status from lifelogging data. European Journal of Operational Research, 281(3), pp. 532-542. (doi: 10.1016/j.ejor.2019.05.035)

Chen, B. , Huang, J., Huang, Y., Kollias, S. and Yue, S. (2020) Combining guaranteed and spot markets in display advertising: selling guaranteed page views with stochastic demand. European Journal of Operational Research, 280(3), pp. 1144-1159. (doi: 10.1016/j.ejor.2019.07.067)

2019

Chen, B. and Kankanhalli, M. (2019) Pricing average price advertising options when underlying spot market prices are discontinuous. IEEE Transactions on Knowledge and Data Engineering, 31(9), pp. 1765-1778. (doi: 10.1109/TKDE.2018.2867027)

2017

Chen, X., Chen, B. and Kankanhalli, M. (2017) MM2RTB: Bringing Multimedia Metrics to Real-Time Bidding. In: 10th International Workshop on Data Mining for Online Advertising (ADKDD), Halifax, NS, Canada, 14 Aug 2017, ISBN 9781450351942 (doi:10.1145/3124749.3124757)

Chen, X., Chen, B. and Kankanhalli, M. (2017) Optimizing Trade-offs Among Stakeholders in Real-Time Bidding by Incorporating Multimedia Metrics. In: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Tokyo, Japan, 7-11 Aug 2017, pp. 205-214. ISBN 9781450350228 (doi:10.1145/3077136.3080802)

2016

Chen, B. (2016) Risk-Aware Dynamic Reserve Prices of Programmatic Guarantee in Display Advertising. In: 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), Barcelona, Spain, 12-15 Dec 2016, pp. 511-518. ISBN 9781509059102 (doi:10.1109/ICDMW.2016.0079)

2015

Chen, B. , Wang, J., Cox, I. J. and Kankanhalli, M. S. (2015) Multi-keyword multi-click advertisement option contracts for sponsored search. ACM Transactions on Intelligent Systems and Technology, 7(1), 5. (doi: 10.1145/2743027)

Chen, B. and Wang, J. (2015) A lattice framework for pricing display advertisement options with the stochastic volatility underlying model. Electronic Commerce Research and Applications, 14(6), pp. 465-479. (doi: 10.1016/j.elerap.2015.07.002)

2014

Chen, B. , Yuan, S. and Wang, J. (2014) A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising. In: Eighth International Workshop on Data Mining for Online Advertising (ADKDD), New York, NY, USA, 24-27 Aug 2014, ISBN 9781450329996 (doi:10.1145/2648584.2648585)

Yuan, S., Wang, J., Chen, B. , Mason, P. and Seljan, S. (2014) An Empirical Study of Reserve Price Optimisation in Real-time Bidding. In: 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), New York, NY, USA, 24-27 Aug 2014, pp. 1897-1906. ISBN 9781450329569 (doi:10.1145/2623330.2623357)

2013

Zhang, W., Wang, J., Chen, B. and Zhao, X. (2013) To Personalize or Not: a Risk Management Perspective. In: 7th ACM Conference on Recommender Systems (RecSys), Hong Kong, China, 12-16 Oct 2013, pp. 229-236. ISBN 9781450324090 (doi:10.1145/2507157.2507167)

2012

Wang, J. and Chen, B. (2012) Selling Futures Online Advertising Slots via Option Contracts. In: 21st International Conference on World Wide Web (WWW), Lyon, France, 16-20 Apr 2012, pp. 627-628. ISBN 9781450312301 (doi:10.1145/2187980.2188160)

This list was generated on Sat Dec 5 06:37:35 2020 GMT.
Number of items: 13.

Articles

Ni, J., Chen, B. , Allinson, N. M. and Ye, X. (2020) A hybrid model for predicting human physical activity status from lifelogging data. European Journal of Operational Research, 281(3), pp. 532-542. (doi: 10.1016/j.ejor.2019.05.035)

Chen, B. , Huang, J., Huang, Y., Kollias, S. and Yue, S. (2020) Combining guaranteed and spot markets in display advertising: selling guaranteed page views with stochastic demand. European Journal of Operational Research, 280(3), pp. 1144-1159. (doi: 10.1016/j.ejor.2019.07.067)

Chen, B. and Kankanhalli, M. (2019) Pricing average price advertising options when underlying spot market prices are discontinuous. IEEE Transactions on Knowledge and Data Engineering, 31(9), pp. 1765-1778. (doi: 10.1109/TKDE.2018.2867027)

Chen, B. , Wang, J., Cox, I. J. and Kankanhalli, M. S. (2015) Multi-keyword multi-click advertisement option contracts for sponsored search. ACM Transactions on Intelligent Systems and Technology, 7(1), 5. (doi: 10.1145/2743027)

Chen, B. and Wang, J. (2015) A lattice framework for pricing display advertisement options with the stochastic volatility underlying model. Electronic Commerce Research and Applications, 14(6), pp. 465-479. (doi: 10.1016/j.elerap.2015.07.002)

Conference Proceedings

Zheng, Y., Chen, B. , Hospedales, T. M. and Yang, Y. (2020) Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. In: 34th AAAI Conference on Artificial Intelligence (AAAI-20), New York, NY, USA, 07-12 Feb 2020, pp. 1242-1249. ISBN 9781577358350 (doi:10.1609/aaai.v34i01.5478)

Chen, X., Chen, B. and Kankanhalli, M. (2017) MM2RTB: Bringing Multimedia Metrics to Real-Time Bidding. In: 10th International Workshop on Data Mining for Online Advertising (ADKDD), Halifax, NS, Canada, 14 Aug 2017, ISBN 9781450351942 (doi:10.1145/3124749.3124757)

Chen, X., Chen, B. and Kankanhalli, M. (2017) Optimizing Trade-offs Among Stakeholders in Real-Time Bidding by Incorporating Multimedia Metrics. In: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Tokyo, Japan, 7-11 Aug 2017, pp. 205-214. ISBN 9781450350228 (doi:10.1145/3077136.3080802)

Chen, B. (2016) Risk-Aware Dynamic Reserve Prices of Programmatic Guarantee in Display Advertising. In: 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), Barcelona, Spain, 12-15 Dec 2016, pp. 511-518. ISBN 9781509059102 (doi:10.1109/ICDMW.2016.0079)

Chen, B. , Yuan, S. and Wang, J. (2014) A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising. In: Eighth International Workshop on Data Mining for Online Advertising (ADKDD), New York, NY, USA, 24-27 Aug 2014, ISBN 9781450329996 (doi:10.1145/2648584.2648585)

Yuan, S., Wang, J., Chen, B. , Mason, P. and Seljan, S. (2014) An Empirical Study of Reserve Price Optimisation in Real-time Bidding. In: 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), New York, NY, USA, 24-27 Aug 2014, pp. 1897-1906. ISBN 9781450329569 (doi:10.1145/2623330.2623357)

Zhang, W., Wang, J., Chen, B. and Zhao, X. (2013) To Personalize or Not: a Risk Management Perspective. In: 7th ACM Conference on Recommender Systems (RecSys), Hong Kong, China, 12-16 Oct 2013, pp. 229-236. ISBN 9781450324090 (doi:10.1145/2507157.2507167)

Wang, J. and Chen, B. (2012) Selling Futures Online Advertising Slots via Option Contracts. In: 21st International Conference on World Wide Web (WWW), Lyon, France, 16-20 Apr 2012, pp. 627-628. ISBN 9781450312301 (doi:10.1145/2187980.2188160)

This list was generated on Sat Dec 5 06:37:35 2020 GMT.

Grants

  • Co-I, National Natural Science Foundation Grant on “Investigating the Impact of AI Empowered Mobile Marketing Strategies on Customer Acquisition, Retention, Defection, and Win-back Links” in 2020-2023, 480K RMB, China, 2020
  • PI, Accelerated Data Science Grant, Nvidia Corporation, 2019
  • PI (Awarded Researcher), Region Bourgogne Franche Comté Mobility Grant on “Road Scene Understanding and Autonomous Driving with Deep Learning”, €8K, France, 2019
  • PI, ESRC IAA Business Booster Fund on "Machine Learning for Financial Technology (FinTech)", £7K, UK, 2018
  • PI, Academic GPU Grant, Nvidia Corporation, 2018
  • PI, Academic GPU Grant, Nvidia Corporation, 2017

Prior to joining the Adam Smith Business School, Bowei was involved in the following two projects leading the development of data mining platforms:

  • Co-I, the North Sea Region programme on "Big Data and Eco-Innovative Resource Use in the NSR – Greenhouse Industry Greening the Growth in Horticultural Production" in 2017-2022. Total €3M of the project and €576K for Lincoln’s WP, EU, 2017
  • PI (Academic Supervisor), the Knowledge Transfer Partnerships (KTP) programme on "Developing a Data Mining Platform to Revolutionise Synthetic Sport Surface Maintenance Practice and Principles" in 2017-2019. Total £187K funded by Innovative UK and Replay Ltd, UK, 2017

Supervision

Bowei is interested in supervising new doctoral or visiting researchers, particularly in the applications of machine learning and AI in business. Expectations are that potential candidates have a passion and skills for quantitative research and are highly self-motivated.

Teaching

  • Data Science for Marketing Analytics (MSc)
  • Digital Marketing Strategy (MSc)

Additional information

Academic services:

  • Editorial board
    • Electronic Commerce Research and Applications
    • Frontiers in Big Data
    • Frontiers in Artificial Intelligence
  • Reviewer
    • European Journal of Operational Research
    • European Journal of Finance
    • International Journal of Finance & Economics
    • ACM Transactions on Economics and Computation
    • ACM Transactions on Information Systems
    • IEEE Transactions on Neural Networks and Learning Systems
    • IEEE Transactions on Knowledge and Data Engineering 
    • Communications of the ACM
    • Neurocomputing
    • Journal of the American Society for Information Science & Technology
    • Information and Management
    • NeurIPS, ICML, AAAI, AISTATS, SIGIR, WWW, WSDM, CIKM

Membership:

  • Fellow of Higher Education Academy

Selected awards:

  • BITE Industry Award Exchange Scheme, University College London, UK, 2014
  • Best Paper Award, The 8th International Workshop on Data Mining for Online Advertising (AdKDD, KDD Workshop), New York City, USA, 2014
  • UCL Advances PhD Enterprise Scholarship, University College London, UK, 2014
  • Second Prize Award, Hedge Fund Trading Competition, IEEE Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr), London, UK, 2014
  • Dean’s Prize, University College London, UK, 2012
  • Postgraduate Research Studentship, University College London, UK, 2011