Projects per year
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
SOE106TC Programming with C++
ADS105TC Numberical Methods
PSP303TC Final Year Project
PSP406TC Master's Dissertation Projects
Awards and honours
2026 Research Excellence Award, 46th Edition of International Research Excellence and Best Paper Awards, Scifax Company Group.
2026 Best Researcher Award, 25th Edition of Global Particle Physics Excellence Awards.
2025-2026 Outstanding Faculty Advisor, Collaborative Explorers' Learning Network (CELN) Students’ Club, School of AI and Advanced Computing.
2025, 2026 Excellent Poster Award (as Academic Supervisor), Student Summer Research Fellowship (SURF) .
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
Master, Postgraduate Certificate in Teaching and Supporting Learning in Higher Education, University of Liverpool, UK
Award Date: 13 Aug 2024
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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Medical-Engineering Interdisciplinary Research Grants
Wang, J. (PI)
1/10/26 → 30/09/27
Project: Collaborative Research Project
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AI-enhanced Chinese Education
Wang, J. (PI)
22/07/26 → 21/07/27
Project: Collaborative Research Project
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TDF: Implement a Modular Pedagogy to Enhance Students’ Comprehension of Artificial Intelligence Programming
Wang, J. (PI)
1/03/26 → 1/03/28
Project: Internal Research Project
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TDF: Enhancing Student-Centered Learning through AI-Driven Personalization
Wang, J. (CoPI)
1/03/25 → 1/03/27
Project: Internal 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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Multimodal Contrastive Enhancement Network for Cross-Ethnic Analysis of Degenerative Brain Regions in Alzheimer’s Disease
Zhu, H., Yu, T., Hua, Z., Ge, L. & Wang, J., 2027, Pattern Recognition - 28th International Conference, ICPR 2026, Proceedings. De Marsico, M., Ho, T. K., Jurie, F., Liu, C.-L., Lopresti, D., Nyström, I., Ogier, J.-M., Ross, A. & Wang, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 375-388 14 p. (Lecture Notes in Computer Science; vol. 16815 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Multimodal fusion for complete motion trajectory reasoning in articulated object manipulation
Song, J., Wu, X., Qian, Q., Dai, J., Wang, J., Song, J. & Cui, Q., Jan 2027, In: Information Fusion. 137, 104659.Research output: Contribution to journal › Article › peer-review
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Time-Domain Quantum Diffusion Graph Networks for fMRI in Alzheimer’s Disease Diagnosis
Zhu, H., Yu, T., Wang, C. & Wang, J., 2027, Pattern Recognition - 28th International Conference, ICPR 2026, Proceedings. De Marsico, M., Ho, T. K., Jurie, F., Liu, C.-L., Lopresti, D., Nyström, I., Ogier, J.-M., Ross, A. & Wang, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 389-401 13 p. (Lecture Notes in Computer Science; vol. 16815 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A Method for Information Propagation Based on Quantum Random Walk Graph Diffusion Neural Network and Related Devices
Wang, J. (Inventor), Jul 2026, Patent No. 202610632758.XResearch output: Patent
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An Automated Processing and Analysis Method for Urban Geographic Data
Wang, J. (Inventor), Feb 2026, Patent No. 202511975604.2Research output: Patent
Activities
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Semantically Routed Evidence Encoding for Zero-Shot Relation Prediction in Knowledge Graphs
Wang, J. (Supervisor)
Jun 2026Activity: Supervision › Master Dissertation Supervision
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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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2025 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025 (Event)
Wang, J. (Member)
2025Activity: Membership › Membership of committee