Personal profile
Personal profile
I am currently working at XJTLU as the Assistant Professor in the School of AI and Advanced Computing. I received the Ph.D. degree from the Department of Computer Science at the University of York, U.K in 2018, and the M.Sc. degrees in Electronic Engineering from Hong Kong University of Science and Technology (HKUST) in 2013. Before joining XJTLU, I worked as lecturer at Shanghai University in the School of Computer Science and Engineering from 2018 to 2023. During Sept 2020 till 2022, I worked as adjunct professor at Rutgers, the State University of New Jersey USA, with Council on International Educational Exchange (CIEE), and an adjunct lecturer at Monash University. My research interests include statistical and structural pattern recognition, complex networks, information theory, thermodynamic and quantum statistics, especially in graph and network analysis. I received the Shanghai Pujiang Talent Award in 2021, Jiangsu Qinglan Project of Backbone Young Educator in 2024, and served as the Associate Editor of Pattern Recognition Journal since 2022. I am now the reviewer of Pattern Recognition, Pattern Recognition Letters, Scientific Reports, CVPR, ICPR, BMVC, ICCV, etc.I am actively looking for self-motivated Ph.D. students or postgraduate and undergraduate students working on pattern recognition, machine learning, complex networks, network neuroscience, etc. If you are interested, please send me an e-mail with your CV or drop by my office. I will be happy talking with you. (Email: Jianjia.Wang@xjtlu.edu.cn)
Research interests
Statistical Mechanics in Pattern Recognition
Complex networks
Machine learning for graph and networks
Thermodynamic and quantum statistics
Information theory
Network neuroscience
Smart city and urban science
Experience
Assistant Professor, School of AI and Advanced Computing, XJTLU, 2023-present
Adjunct Professor, Rutgers, The State University of New Jersey, USA, Council on International Educational Exchange (CIEE), 2020-2022
Lecturer, School of Computer Science and Engineering, Shanghai University, 2018-2023
Teaching
DTS101TC Introduction to Neural Networks
DTS102TC Programming with C++
DTS104TC Numberical Methods
DTS411TC Master's Dissertation Projects
Awards and honours
2024-2027 Youth Backbone Educator, Jiangsu Qinglan Project
2021-2023 Shanghai Pujiang Talent Award, Science and Technology Commission of Shanghai Municipality
2021 Best Teaching Award, ROSE Program, Rutgers, State University of New Jersey
2020-2022Outstanding/Meritorious Winner, Faculty Advisor in Mathematical Contest in Modeling (MCM)
2021Outstanding Supervisor Award, Undergraduate Academic Conference, Shanghai University
Related documents
Education/Academic qualification
Ph.D. Computer Science, University of York, UK, 2018
MS.c. Electronic Engineering, Hong Kong University of Science and Technology (HKUST), 2013
B.Eng. Nanjing University of Posts and Telecommunications, 2011
Research areas
- Complex networks
- Data Science
- machine learning & Pattern Recognition
- Statistical mechanics models
- Smart Cities
- Big Data and Deep Learning
Keywords
- QA75 Electronic computers. Computer science
Person Types
- Staff
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production
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Collaborations and top research areas from the last five years
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2024 Natural Science Foundation of the Jiangsu Higher Education Institutions of China Programme - General Programme
Wang, J. (PI)
1/07/24 → 1/07/26
Project: Governmental Research Project
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Using Thermodynamic Models to Study Statistical Structural Characteristics of Complex Networks
Wang, J. (PI), Xu, P. (Team member) & Hua, Z. (Team member)
1/07/24 → 1/07/26
Project: Governmental Research Project
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Impact of AI on Student Engagement and Motivation in Program Learning
Wang, J. (PI)
1/07/24 → 1/07/27
Project: Internal Research Project
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Jiangsu University Qinglan Project of Backbone Young Educator
Wang, J. (PI)
1/05/24 → 1/05/27
Project: Governmental Research Project
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Characterize Statistical Structural Patterns in Complex Networks
Wang, J. (PI)
1/01/24 → 31/12/26
Project: Internal Research Project
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Bi-level Consensus in Large-Scale Group Decision-Making: Integrating Structural Holes and Community Dynamics
Hua, Z., Xu, S., Wang, J., Liu, J. & Martinez, L., 2026, (Accepted/In press) In: IEEE Transactions on Fuzzy Systems.Research output: Contribution to journal › Article › peer-review
Open Access -
DAED: Dynamic Additive Effect Decomposition for Interpretable Time Series Forecasting
Wang, C., Sun, X., Wang, J., Ren, G. & Hua, Z., 2026, Database Systems for Advanced Applications - 31st International Conference, DASFAA 2026, Proceedings. Jung, H., Wang, T., Toyoda, M., Kwon, H.-Y. & Lee, J.-W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 330-340 11 p. (Lecture Notes in Computer Science; vol. 16537 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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DAED: Dynamic Additive Effect Decomposition for Interpretable Time Series Forecasting
Wang, C., Sun, X., Wang, J., Ren, G. & Hua, Z., 2026, International Conference on Database Systems for Advanced Applications. p. 330-340 11 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Heterogeneous biological graph convolutional network for drug-target interaction prediction
Zhu, H., Wang, J., Hua, Z., Wang, C., Zhang, Z., Yu, T. & Ge, L., May 2026, In: PLoS ONE. 21, 5 May, e0348895.Research output: Contribution to journal › Article › peer-review
Open Access -
Candidate Evaluation with Multimodal Data-Driven for Recruitment
Wu, X., Liu, K., Wang, J., Yao, J., Deng, B., Lv, R. & Song, J., 2025, Pattern Recognition - 27th International Conference, ICPR 2024, Proceedings. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer Science and Business Media Deutschland GmbH, p. 81-96 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15308 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
5 Citations (Scopus)
Activities
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Fuzzy Statistical Analysis on Complex Network Characterisation: Bridging the Ihara Zeta Function and Thermodynamic Partition Functions
Wang, J. (Speaker)
8 Jul 2025Activity: Talk or presentation › Presentation at conference/workshop/seminar
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Urban Spatial Network Segmentation with Continuous-time Quantum Walks
Wang, J. (Speaker)
2 Jun 2025Activity: Talk or presentation › Presentation at conference/workshop/seminar
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Introduction to Artificial Intelligent
Wang, J. (Speaker)
28 Mar 2025Activity: Talk or presentation › Invited talk
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16th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discover, CyberC 2024
Wang, J. (Participant)
24 Oct 2024 → 26 Oct 2024Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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Urban Building Data Collection and Analysis
Wang, J. (Supervisor)
1 Jun 2024 → 1 Sept 2024Activity: Supervision › Completed SURF Project