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 broadly span data mining, recommendation systems, advertising algorithms, search algorithms, and Explainable AI (XAI), with a focus on developing controllable and efficient solutions for large-scale recommendation applications.
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: Recommendation systems, advertising algorithms, search algorithms (数据挖掘⛏️推广搜相关)
- 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 recommendation system development.
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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,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
2025
(PG) Kaiyue Feng et al. COFA: counterfactual attention framework for trustworthy wafer map failure classification. (SCI JCR-Q2)
(PG) Yichen Luo et al. MMET: A Multi-Input and Multi-Scale Transfomer for Efficient PDEs Solving. (IJCAI-25 CCF-A Accept rate: 19%)
(PhD) Chenke Yin et al. Uncertainty-Aware Semantic Decoding for LLM-Based Sequential Recommendation. (APWeb-WAIM-25 CCF-C)
(PG) Jing Zhen et al. AgriGPT: A Strong Plant Disease Detection Model via Visual-Language Model. (ICIC-25 CCF-C)
(PG) Dongxiao Hu et al. Embodied AI Through Cloud-Fog Computing: A Framework for Everywhere Intelligence. (IEEE 33rd International Symposium on Industrial Electronics [Best Paper Award])
Research interests
Data Mining
Recommendation System
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)
Research areas
- Data Mining
- Recommendation System
- Advertising Algorithms
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
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A Data-Driven Approach to Intelligent Decision Making and Control for Customized Precision Manufacturing Processes
1/01/25 → 31/12/28
Project: Governmental Research Project
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Research on user-controllable personalized content recommendation and interpretability: a new perspective on breaking filter bubble
1/01/25 → 31/12/27
Project: Governmental Research Project
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TDF: 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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Autonomous unmanned surface vehicle docking using large language model guide reinforcement learning
Xu, C., Chu, Y., Gao, Q., Wu, Z., Wang, J., Yue, Y., Dominik, W. & Zhu, X., 15 Apr 2025, In: Ocean Engineering. 323, 120608.Research output: Contribution to journal › Article › peer-review
Open Access -
COFA: counterfactual attention framework for trustworthy wafer map failure classification
Feng, K., Wang, J., Yin, C. & Li, A., May 2025, In: Applied Intelligence. 55, 7, 598.Research output: Contribution to journal › Article › peer-review
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Knowledge-Aware Multi-view Contrastive Learning for Recommendation
Xie, X., Xie, Z., Liu, Y., Wang, J. & Zhan, Q., Apr 2025, In: Neural Processing Letters. 57, 2, 36.Research output: Contribution to journal › Article › peer-review
Open Access -
Leveraging sensory knowledge into Text-to-Text Transfer Transformer for enhanced emotion analysis
Zhao, Q., Xia, Y., Long, Y., Xu, G. & Wang, J., Jan 2025, In: Information Processing and Management. 62, 1, 103876.Research output: Contribution to journal › Article › peer-review
Open Access -
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
Activities
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31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 25) (Event)
Jia Wang (Reviewer)
2025 → …Activity: Peer-review and editorial work of publications › Publication Peer-review
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28TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI2025) (Event)
Jia Wang (Programme Committee Member)
2025Activity: Peer-review and editorial work of publications › Publication Peer-review
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33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (Event)
Jia Wang (Reviewer)
2025 → …Activity: Peer-review and editorial work of publications › Publication Peer-review
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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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Applied Intelligence (Journal)
Jia Wang (Reviewer)
2024Activity: Peer-review and editorial work of publications › Publication Peer-review