I'm a Ph.D. candidate at Swinburne University of Technology specializing in designing efficient machine learning algorithms for various domains to enhance performance. My research has been published in top journals like ACM TOIS and conference COLING, and I'm passionate about using research results to solve real-life problems.

My expertise lies in data mining and machine learning techniques such as deep learning and meta-learning. I'm particularly interested in leveraging side information with time-series data to improve the accuracy, diversity, and explanation of recommender systems. With my extensive knowledge and experience, I am committed to providing innovative solutions that can drive growth and success in the ever-changing world of technology.

Publications

• Wang, J., Zhang, L., Sun, Z. and Yong, K., 2023. Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. PAKDD2023.

• Wang, Jinze, Tiehua Zhang, Lu Zhang, Yang Bai, Xin Li and Jiong Jin. “HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation.” ICME (2025). 

• Wang, J., Ren, Y., Li, J. and Deng, K., 2021. The Footprint of Factorization Models and Their Applications in Collaborative Filtering. ACM Transactions on Information Systems (TOIS), 40(4), pp.1-32.

• Wang, J., Zhang, T., Chai, B.X., Di Pietro, A., Georgakopoulos, D. and Jin, J., 2024. Leveraging Auxiliary Task Relevance for Enhanced Industrial Fault Diagnosis through Curriculum Meta-learning. arXiv preprint arXiv:2410.20351. 

• Wang, Y. Liu, T. FENG, C. Wang, J. Yang, Y. Bao, J. Li,B. Wu, L. Hardware-Based Time Synchronization for a Multi-Sensor System. IROS2024.

• Liu, Y., Liu, T., Zhang, T., Xia, Y., Wang, J., Shen, Z., Jin, J. and Yu, F.R., 2024. GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning. PAKDD 2025. 

• Chai, B.X.; Gunaratne, M.; Ravandi, M.; Wang, J.; Dharmawickrema, T.; Di Pietro, A.; Jin, J.; Georgakopoulos, D. Smart Industrial Internet of Things Framework for Composites Manufacturing. Sensors, 24, 4852.

Credentials

• AIRHub PhD Scholarship - Aerostructures Innovation Research Hub

• PhD Scholarship Industrial Top-up 

• Vice-Chancellor’s 2023 Engaged Award 

• The 19th  'Chunhui Cup'  Best AI Talent Award 

• The 18th 'Chunhui Cup'  Innovation and Entrepreneurship Competition Outstanding Award 

• Vice-Chancellor’s 2022 Future-Focused Award - Swinburne University of Technology

• Data@ANZ Program - ANZ

• Machine Learning Specialization - DeepLearning.AI

• Google Cloud Computing Foundations - Google

• Microsoft SQL Server Developments - Udemy

• Study Australia Industry Experience Project(SAIEP) - Practera

• Professional Member of the Association for Computing Machinery, ACM.

-Credential ID: 5809829

-Issued: Feb 2022