Projects per year
Personal profile
Personal profile
Dr. Jia Wang is currently an Assistant Professor in Xi’an Jiaotong-Liverpool University. She received a Ph.D. degree from the Hong Kong Polytechnic University, M.S. degree from KTH Royal Institute of Technology, B.S. degree in communication engineering from Beijing Jiao Tong University. She had visited the University of Southern California as a visiting scholar. Her research interests span the broadly defined areas of graph mining, reinforcement learning, and Explainable AI.
Call for RAs
I am looking for strongly motivated PhD students and Research Assistants to join our research group. Contact me via: jia.wang02@xjtlu.edu.cn
- Research areas: Explainable AI/ trustworthy AI.
- Topic: Research on Interpretability of Social Recommendation System Based on Causal Inference.
- Requirements: Proficiency in data mining, machine learning and deep learning frameworks (tensorflow or pytorch) ; Good coding ability in Python, Java and so on; Have good experience in system development testing)
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全年招收【博士研究生】【硕士研究生】【本科研究助理】,有较强的学习科研自驱力(self-motivation),能力要求:数学、编程能力较强,同时欢迎喜欢动手做硬件的同学,会为表优异的同学们提供海内外(参加各地的学术会议,前往瑞典、中国香港等地交流访问)交流的机会,有意向同学欢迎通过email发送简历。
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希望同学们都有充分的自驱力!我们共同努力!
Her publications can be founded via Google Scholar https://scholar.google.com/citations?hl=enuser=CcJikxgAAAAJ
Research interests
XAI, Machine Learning, Reinforcement Learning
Graph Mining, Recommendation System
Multi-robot Cooperation
Teaching
INT303 (S1) Big Data Analytics
INT104 (S2) Artificial Intelligence
INT102 (S2) Algorithmic Foundations and Problem Solving
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):
Education/Academic qualification
Ph.D. in Computer Science from the Hong Kong Polytechnic University (Hong Kong)
M.Sc in Computer Science from KTH Royal Institute of Technology University (Stockholm, Sweden)
B.Sc in Communication Engineering from Beijing Jiaotong University (Beijing, China)
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Enhancing Big Data Analytics Teaching through Competition-based Learning Using Kaggle Platform
Fan, P., Wang, J., Li, N., Tay, T. T. & Wang, L.
1/03/24 → 28/02/26
Project: Internal Research Project
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Development of cloud-based intelligent control technology for flexible manufacturing of high-end equipment
Wang, J., Lim, E. G., Wang, Q., Pan, Y. & Wang, X.
5/02/24 → 4/02/28
Project: Collaborative Research Project
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Enhancing Big Data Analytics Teaching through Competition-based Learning Using Kaggle Platform
Fan, P., Li, N., Purwanto, E., Tay, T. T. & Wang, J.
1/09/23 → 30/09/26
Project: Internal Research Project
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Compliant Recommendation Methodology Based on Causal Reasoning
Wang, J., Wang, Q., Zhang, H., Jin, X., Yin, C. & feng, K.
1/07/23 → 1/07/25
Project: Governmental Research Project
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Suzhou Municipal Key Lab for Intelligent Virtual Engineering
Yue, Y., Liang, H. N., Lim, E. G., Man, K. L., Ma, F., Wang, X., Guan, S., Wang, Q., Xiao, J., Ma, J., Meng, J., Zhang, C., Chen, M., Chen, B., Wang, W., Craig, P., Sun, J., Liu, G., Xia, J., Zhu, X., Yu, L., Zhang, J., Qi, J., Huang, M., Yang, R., Li, S., Dong, Y., Yang, X., Li, Y., Wang, J., Zhang, H., Wei, Z., Sun, Q., Elsheikh, A., Levers, A., Konev, B., Coenen, F., Atkinson, K., Gasieniec, L., Wong, P., Payne, T., Garcia-Fernandez, A. & Zhang, Y.
1/11/22 → 30/10/25
Project: Governmental Research Project
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An unknown wafer surface defect detection approach based on Incremental Learning for reliability analysis
Zhao, Z., Wang, J., Tao, Q., Li, A. & Chen, Y., Apr 2024, In: Reliability Engineering and System Safety. 244, 109966.Research output: Contribution to journal › Article › peer-review
23 Citations (Scopus) -
A Security Information Transmission Method Based on DHR for Seafloor Observation Network
Ying, F., Zhao, S. & Wang, J., Feb 2024, In: Sensors. 24, 4, 1147.Research output: Contribution to journal › Article › peer-review
Open Access -
CFTNet: a robust credit card fraud detection model enhanced by counterfactual data augmentation
Kong, M., Li, R., Wang, J., Li, X., Jin, S., Xie, W., Hou, M. & Cao, C., May 2024, In: Neural Computing and Applications. 36, 15, p. 8607-8623 17 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Clustering-based incremental learning for imbalanced data classification
Liu, Y., Du, G., Yin, C., Zhang, H. & Wang, J., 23 May 2024, In: Knowledge-Based Systems. 292, 111612.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement
Menglin, K., Wang, J., Pan, Y., Zhang, H. & Hou, M., 4 Mar 2024, WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 341-349 9 p. (WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
1 Citation (Scopus)
Activities
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The 21st IEEE International Conference on Ubiquitous Intelligence and Computing (UIC2024)
Jia Wang (Chair)
2 Dec 2024 → 7 Dec 2024Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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Expert Systems with Applications (Journal)
Jia Wang (Reviewer)
2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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AI-based Scoring System for Sketch Art Exam
Jia Wang (Supervisor)
2024Activity: Supervision › Master Dissertation Supervision
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IDENTIFY BLOODSTAIN RESIDUES EXPOSURE TIME BASED ON MACHINE LEARNING
Jia Wang (Supervisor)
2024Activity: Supervision › Master Dissertation Supervision
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RESEARCH ON DEBIASING MODELS IN RECOMMENDER SYSTEMS
Jia Wang (Supervisor)
2024Activity: Supervision › Master Dissertation Supervision