Dr Xingjie Wei

Lecturer (Assistant Professor), School of Management, University of Bath

Research Interests: Social computing, computational sociology, big data, social data mining, social network analysis

Email: x.wei[[At}]bath.ac.uk

About

I am a Lecturer (Assistant Professor) in the School of Management at University of Bath. Before this, I worked as a Research Associate in the Psychometrics Centre, Cambridge Judge Business School at University of Cambridge. I received the Ph.D degree in Computer Science from University of Warwick in 2014. 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. My current work focuses on analysing and predicting behavioural and psychological traits (e.g., personality) of human from their social network data (e.g., text, image, activities, etc), which can be applied to improve business practice in marketing and management.

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

Book Chapter

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]
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]

Journal

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]
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]
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)

2018, H. Wang, X. Wei, V. Sanchez and C.-T. Li, "Cumulative Convolutional Neural Network for Age Estimation", IEEE International Conference on Image Processing (ICIP), Oct., 2018, Greece [Bibtex] [PDF]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]

PhD thesis

2014, Unconstrained Face Recognition with Occlusions, University of Warwick, UK, Dec. 2014 [Bibtex] [PDF]

Teaching

Since 2017, University of Bath

2011-2014, University of Warwick

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

Grant

02/2017-11/2017, 'Image pre-processing for automatic face recognition in forensics applications', £37.5K, Metropolitan Police Service
04/2017-03/2018, 'Web user behaviour study by social computing with big data', Seed Corn Fund, £2,000, School of Management, University of Bath

Media

Selected media coverage around our paper How smart does your profile image look? Estimating intelligence from social network profile images:

Attention score:

Professional Activity

Associate Editor

Since 2015, Int. Journal of Digital Crime and Forensics (IJDCF)

Invited Talk

2017, Short course of two lectures, "Computational visual analysis techniques", University of Science and Technology Beijing, China
2017, Invited speaker on "Do you fit in your business school? University personality study from social media", The Jingshi Conference on Educational Data Mining and Applications, China
2017, Panel discussion on "Technology & methodologies in digital mental health", Innovation & Strategies for Digital Interventions in Mental Health, UK

Conference and Workshop Organisation

2017, Track Chair (Identification through Data Mining), The 16th Australian Data Mining Conference(AusDM), Australia
2017, Session Chair, Workshop on Hybrid Human-Machine Computing (HHMC), UK
2017, Workshop leader, "View from the street: visual literacy and digital photographic analysis for helping homeless people", Innovation & Strategies for Digital Interventions in Mental Health, UK

Program Committees Member

2017, Workshop on Hybrid Human-Machine Computing (HHMC), UK
2017, Int. Workshop on Biometrics and Forensics (IWBF), UK
2016, Int. Conf. on Advances in Signal, Image and Video Processing (SIGNAL), Portugal
2015, Int. Conf. on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), Australia
2014, Int. Conf. in Information Security and Digital Forensics (ISDF), Greece
2014, IEEE Int. Conf. on Multimedia and Expo (ICME), China

Journal Reviewer

Conference Reviewer

Personal Hobbies

Photography: Flickr, Instagram