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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)

Qualifications
- 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
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
Research interests
- Statistical and structural pattern recognition
- Complex networks
- Machine learning for graph and networks
- Thermodynamic and quantum statistics
- Information theory
- Network neuroscience
- Smart city and urban science
Articles
- Jianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock, “Statistical Mechanical Analysis for Unweighted and Weighted Stock Market Networks”, Pattern Recognition, (2021): 108123.
- Wu Xing, Cheng Chen, Pan Li, Mingyu Zhong, Jianjia Wang, Quan Qian, Peng Ding, Junfeng Yao, and Yike Guo. "FTAP: Feature transferring autonomous machine learning pipeline." Information Sciences 593 (2022): 385-397.
- Jianjia Wang, Richard C. Wilson, and Edwin R. Hancock. "Network Edge Entropy Decomposition with Spin Statistics." Pattern Recognition (2021): 108040.
- Jianjia Wang, Jiayu Huo, and Lichi Zhang. “Thermodynamic edge entropy in Alzheimer’s disease”. Pattern Recognition Letters, 125 (2019): 570-575.
- Wu Xing, Jianjia Wang, P. Li, X. Luo and Y. Yang, "Internet of Things as Complex Networks," in IEEE Network, vol. 35, no. 3, pp. 238-245, June 2021
- Zhihong Zhang, Jianjia Wang, Da Zhou, Lu Bai, Edwin R. Hancock, “Quantum-based Subgraph Convolutional Neural Networks”. Pattern Recognition, 88 (2019): 38-49.
- Zhang Zhihong, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin Hancock. "Graph Motif Entropy for Understanding Time-Evolving Networks." IEEE Transactions on Neural Networks and Learning Systems (2020): 1-15.
- Jianjia Wang, Chenyue Lin, Yilei Wang. “Thermodynamic Entropy in Quantum Statistics for Stock Market Networks”. Complexity 2019 (2019).
- Cai Penghao, Fuqian Yang, Jianjia Wang, Xing Wu, Yang Yang, and Xiliang Luo. “JOTE: Joint Offloading of Tasks and Energy in Fog-Enabled IoT Networks”. IEEE Internet of Things Journal 7, no. 4 (2020): 3067-3082.
- Jianjia Wang, Richard C. Wilson, and Edwin R. Hancock, “Directed and Undirected Network Evolution from Euler-Lagrange Dynamics”. Pattern Recognition Letters, 134 (2020): 135-144.
- Jianjia Wang, Richard C. Wilson, and Edwin R. Hancock, “Spin Statistics, Partition Functions and Network Entropy”. Journal of Complex Networks, Volume 5, Issue 6, Pages 858–883, 2017.
Books, monographs, compilations and manuals
- Jianjia Wang, Zhihong Zhang, Dongdong Chen, Edwin Hancock “Cluster Expansion Analysis for Dynamic Networks”, New Ideas Concerning Science and Technology, vol 9, Book Publisher International, ISBN: 978-93-90768-43-1, March 2021.
- Jianjia Wang, Chenyue Lin, Yilei Wang, “Investigation on Thermodynamic Entropy in Quantum Statistics for Stock Market Networks”, New Ideas Concerning Science and Technology, Book Publisher International, ISBN:978-93-90149-31-5, 2020.
- Jianjia Wang, Prime Archives in Complex Systems, Vide Leaf, ISBN:978-93-90014-10-1, 2020.
Conference presentations
- 2022, 2020, 2018 International Conference on Pattern Recognition (ICPR, Mexico/China/Italy)
- 2022, 2015 International School and Conference on Network Science (NetSci, Spain/China)
- 2022, 2020, 2018 Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (S+SSPR)
Grants
- Principal Investigator, Automatic Testing Aging System in New Energy, Innovative Entrepreneurial Program of Technique Leader in Fei-Feng Talent, Wuxi Science and Technology Bureau in High-tech Zone, No. 202125-28, CNY 3,000,000, 2021.01 to 2023.12.
- Principal Investigator, Using Complex Networks to Analyze Urban Spatial Density and Population, Shanghai Pujiang Talent Program, Science and Technology Commission of Shanghai Municipality, No.21PJ1404200, CNY 300,000, 2021.10 to 2023.9.
- Principal Investigator, Statistical Structural Pattern Recognition in Complex Networks, Oversea Visiting Fellowship Scheme, Science and Technology Commission of Shanghai Municipality, No.22WZ2505000, CNY 150,000, 2022.01 to 2023.01.
- Principal Investigator, Study the Structural Properties in Complex Networks with Statistical Pattern Recognition, Oversea Visiting Fellowship Scheme, Ministry of Science and Technology of P.R.China, No.G2022013024L, CNY 350,000, 2022.01 to 2023.12.
- Principal Investigator, Young Professor Funding of Shanghai University, Shanghai Municipal Education Commission. No.202131, CNY 40,000, 2021.01 to 2022.12
- Co-Investigator, Multi-center Capsule Endoscopy Image Federation Active Learning, National Natural Science Foundation of China (NSFC), No.62172267, CNY 700,000, 2022.01 to 2025.12.
- Co-Investigator, Active Learning Assists Diagnosis of Gastrointestinal Diseases, Science and Technology Commission of Shanghai Municipality, No. 20ZR1420400, CNY 200,000, 2020.04 to 2023.06.
- Co-Investigator, Epidemic Spread and Prediction Model in Complex Spatio-temporal Environment, Ministry of Science and Technology of China, No.22JZ00016, CNY 700,000, 2021.10 to 2024.10
Professional service activities
- 2022 - present, Associate Editor, Pattern Recognition
Professional memberships
- Member in IEEE, IEEE Computer Society, IET, CCF, IAPR, BMVA
Awards and honours
- 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
- 2020-2022 Outstanding/Meritorious Winner, Faculty Advisor in Mathematical Contest in Modeling (MCM)
- 2021 Outstanding Supervisor Award, Undergraduate Academic Conference, Shanghai University

电话
+86 (0)51289167683
电子邮件
Jianjia.Wang@xjtlu.edu.cn
地址
D-5016(TC Campus-Building D)
Suzhou Dushu Lake Science and Education Innovation District
Suzhou Industrial Park
Suzhou
P.R.China
215123

Jianjia WangPh.D.

Profile

Qualifications

Experience

Research interests

Articles

Books, monographs, compilations and manuals

Conference presentations

Grants

Professional service activities

Professional memberships

Awards and honours