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Jia Wang

Assistant Professor

Calculated based on number of publications stored in Pure and citations from Scopus

Research activity per year

Personal profile

Personal profile

Dr. Jia Wang is currently a lecturer 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.I am looking for strongly motivated PhD students and Research Assistant to join our research group. Contact me via: areas: Explainable AI/ trustworthy AI.Topic: Research on Interpretability of Social Recommendation System Based on Causal Inference.Requirements:1. Proficiency in data mining, machine learning and deep learning frameworks (tensorflow or pytorch) ; Good coding abilityin Python, Java and so on; Have good experience in system development testing; Familiar with)2. The applicants should have good English writing and communication skills.Her publications can be founded via Google Scholar

Research interests

XAI, Machine Learning, Reinforcement Learning

Graph Mining, Recommendation System

Multi-robot Cooperation


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):

  • SDG 7 - Affordable and Clean Energy

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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