About

I am a Lecturer (Assistant Professor) in the Centre for Decision Research, Leeds University Business School, University of Leeds. I received the Ph.D degree in Computer Science from University of Warwick and worked as a Research Associate in the Psychometrics Centre, Cambridge Judge Business School at University of Cambridge. Before joining in Leeds, I was a lecturer in University of Bath. I was also a Visiting Researcher in the National Lab of Pattern Recognition (NLPR) at the Chinese Academy of Sciences.

I have been working in Computer Science, Psychology and Business School departments doing interdisciplinary research investigating the relationship between human factors and computational techniques, and how humans interact with new data technologies. Specifically, my work focuses on analysing and predicting behavioural and psychological traits (e.g., personality, interests) of human by psychological experiments, big data analytics, and machine learning modelling, which can be applied to improve business practice in management.

I am accepting PhD students and interested in supervising topics related to behavioural finance decision making and consumer satisfaction using big data and data mining models. Students are also welcome to propose their own topics. Please send me an email for further discussion if you are interested in doing a PhD with me.

News

• Our paper "Emotion Analysis for Personality Inference from EEG Signals" has been accepted by the IEEE Transactions on Affective Computing.
• Our paper "How smart does your profile image look? Estimating intelligence from social network profile images" has been accepted by the ACM WSDM 2017 (accept rate: 16%). [Slides] [Poster]
• Our book chapter "Face Recognition Technologies for Evidential Evaluation of Video Traces" in the "Handbook of Biometrics for Forensic Science" is in press now.
• Our paper "The science and detection of tilting" has been accepted by the ACM ICMR 2016.
• Our paper "On the Generalization Power of Face and Gait in Gender Recognition" published in the International Journal of Digital Crime and Forensics has won the IGI Global's Excellence in Research Journal Award for 2014.

Publication

Working paper

1. 2019, W. Huang, S. Vismara and X. Wei, "Confidence and Capital Raising", Under review [PDF] [SSRN link]

Journal

1. 2018, A. Doukani, X. Wei, B. Kader, F. Soazandry, & B. Inkser (2018). "Views From the Street Pilot Study: Constraints and Difficulties of Using Photographs in Research of a Complex Nature Such as Homelessness", Biomedical Informatics Insights. [PDF] [DOI]
2. 2017, G. Zhao, Y. Ge, B. Shen, X. Wei, and H. Wang, "Emotion Analysis for Personality Inference from EEG Signals", IEEE Trans. Affective Computing, Dec. 2017 [Bibtex] [PDF]
3. 2014, X. Wei, C.-T. Li, Z. Lei, D. Yi, Stan Z. Li, "Dynamic Image-to-Class Warping for Occluded Face Recognition", IEEE Trans. Information Forensics and Security (TIFS), vol. 9, no. 12, Dec. 2014 [Bibtex] [PDF] [Code]
4. 2014, Y. Guan, X. Wei, and C.-T. Li, "On the Generalization Power of Face and Gait in Gender Recognition", International Journal of Digital Crime and Forensics (IJDCF), vol. 6, no. 1, Jan. 2014 [Bibtex] [PDF] (Winner of the 2014 IGI Global's Excellence in Research Journal Award)

Conference (Proceeding)

1. 2018, H. Wang, X. Wei, V. Sanchez and C.-T. Li, "Fusion Network for Face-Based Age Estimation", IEEE International Conference on Image Processing (ICIP), Oct., 2018, Greece [Bibtex] [PDF]
2. 2017, X. Wei and D. Stillwell, “How smart does your profile image look? Estimating intelligence from social network profile images”, ACM International Conference on Web Search and Data Mining (WSDM), Feb., 2017, UK [Bibtex] [PDF] [Slides] [Poster]
3. 2016, X. Wei*, J. Palomaki*, J. Yan and P. Robinson, "The Science and Detection of Tilting", ACM International Conference in Multimedia Retrieval (ICMR), Jun., 2016, US (*denotes equal contribution) [Bibtex] [PDF] [Slides]
4. 2015, B.-B. Liu, X. Wei and J. Yan, "Enhancing sensor pattern noise for source camera identification: an empirical evaluation", ACM Workshop on Information Hiding and Multimedia Security (IH&MMSEC), Jun., 2015, US [Bibtex] [PDF]
5. 2014, Y. Guan, X. Wei, C.-T. Li, and Y. Keller, "People Identification and Tracking through Fusion of Facial and Gait Features", Invited Paper, Int. Workshop on Biometrics (BIOMET), Jun., 2014, Bulgaria [Bibtex] [PDF]
6. 2014, X. Lin, X. Wei and C.-T. Li, "Two improved forensic methods of detecting contrast enhancement in digital images", IS&T/SPIE Conf. on Media Watermarking, Security, and Forensics, Feb., 2014, US [Bibtex] [PDF]
7. 2013, Y. Guan, X. Wei, C.-T. Li, G. L. Marcialis, F. Roli and M. Tistarelli, "Combining Gait and Face for Tackling the Elapsed Time Challenges" IEEE Int. Conf. on Biometrics: Theory, Applications and Systems (BTAS), Sep. 2013, US [Bibtex] [PDF]
8. 2013, X. Wei and C.-T. Li, "Fixation and Saccade based Face Recognition from Single Image per Person with Various Occlusions and Expressions", IEEE Conf. on Computer Vision and Pattern Recognition Workshop on Biometrics (CVPRW), Jun. 2013, US [Bibtex] [PDF] [Slides]
9. 2013, X. Wei, C.-T. Li and Y. Hu, "Face Recognition with Occlusion Using Dynamic Image-to-Class Warping (DICW)", IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG), Apr. 2013, China [Bibtex] [PDF] [Slides] [Poster] [Code]
10. 2013, X. Wei, C.-T. Li and Y. Hu, "Robust Face Recognition with Occlusions in both Reference and Query Images", Int. Workshop on Biometrics and Forensics (IWBF), Apr. 2013, Portugal [Bibtex] [PDF] [Slides]
11. 2012, X. Wei, C.-T. Li and Y. Hu, “Robust Face Recognition under Varying Illumination and Occlusion considering Structured Sparsity”, Int. Conf. on Digital Image Computing: Techniques and Applications (DICTA), Dec. 2012, Australia [Bibtex] [PDF] [Slides]

Book Chapter

1. 2016, X. Wei and C.-T. Li, “Face Recognition Technologies for Evidential Evaluation of Video Traces”, Handbook of Biometrics for Forensic Science, ed. by M. Tistarelli and C. Champod, Springer (in press) [Bibtex] [PDF]
2. 2015, B. Arbab-Zavar, X. Wei, J.D. Bustard, M.S. Nixon and C.-T. Li, "On Forensic Use of Biometrics", Handbook of Digital Forensics of Multimedia Data and Devices, ed. by A. T. S. Ho and S Li, John Wiley & Sons, Inc.[Bibtex] [PDF]

Teaching

Since 2018, University of Leeds

• LUBS1086 Exploring Your Potential
• LUBS2940 Business Analytics 2
• LUBS3200 Business Analytics 3: Analytics Project
• LUBS5990M Machine Learning in Practice

2017-2018, University of Bath

• MN20014 Managing Enterprise Information Systems
• MN20074 Digital Business Innovation
• MN50361 E-marketing
• MN50645 Data Mining

2011-2014, University of Warwick

• CS130 Mathematics for Computer Scientists I
• CS403 Multimedia Processing, Communications and Storage

Grant

• 02/2017-11/2017, PI, 'Image pre-processing for automatic face recognition in forensics applications', £37.5K, Metropolitan Police Service

Media