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

1. Research areas: Recommendation systems, advertising algorithms, search algorithms (数据挖掘⛏️推广搜相关)
2. 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.

• 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。

• 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

(PhD) Haichao Zhang et al. Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning. (ICDM-25 CCF-B Core: A*))
(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]) 

Data Mining
Recommendation System

INT303 (S1) Big Data Analytics

INT104 (S2) Artificial Intelligence

INT102 (S2) Algorithmic Foundations and Problem Solving