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, and has been serving 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++
DTS408TC Big Data Mining, Analysis, and Management
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
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):
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
Person Types
- Staff
Fingerprint
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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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2024 Natural Science Foundation of the Jiangsu Higher Education Institutions of China Programme - General Programme
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
1/07/24 → 1/07/26
Project: Governmental Research Project
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Jiangsu University Qinglan Project of Backbone Young Educator
1/05/24 → 1/05/27
Project: Governmental Research Project
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Characterize Statistical Structural Patterns in Complex Networks
1/01/24 → 31/12/26
Project: Internal Research Project
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Development and spatial application of common key technologies for intelligent design of resin based composite materials driven by both knowledge and data
1/12/22 → 1/10/25
Project: Collaborative Research Project
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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
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Explore Statistical Properties of Undirected Unweighted Networks from Ensemble Models
Zhao, X., Wu, X. & Wang, 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. 131-145 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15327 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Quantifying Racial Segregation Through Continuous-Time Quantum Walks
Jiang, Y., Wu, X. & Wang, 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. 375-389 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15310 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting
Wu, X., Cai, C., Wang, X., Wang, J., Yao, J., Qian, Q. & 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. 209-223 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15305 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Construction of Gene Expression Patterns to Identify Critical Genes Under SARS-CoV-2 Infection Conditions
Yu, X., Li, W., Wang, J., Wu, X. & Sheng, B., 2024, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21, 4, p. 607-618 12 p.Research output: Contribution to journal › Article › peer-review
Activities
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Scientific Reports (Journal)
Jianjia Wang (Reviewer)
2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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Applied Soft Computing (Journal)
Jianjia Wang (Reviewer)
2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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IET (External organisation)
Jianjia Wang (Member)
2024 → …Activity: Membership › Membership of committee
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Mathematics (Journal)
Jianjia Wang (Editor)
2024Activity: Peer-review and editorial work of publications › Editorial work