Projects per year
Personal profile
Personal profile
I received the First-class (Hons) degree in Telecommunication Engineering from Jilin University of China in 2001 and the Ph.D. degree in Computing and Mathematics from University of Ulster, UK in 2007. After my PhD study, I worked as a Research Associate at University of Bradford and University of Bristol in the UK. I joined Xi’an Jiaotong-Liverpool University as a Lecturer in 2012. My current research interests include machine learning, data mining and pattern recognition.
Research interests
Machine Learning and Pattern Recognition
Data Mining
Application of machine learning techniques on large scale data
Experience
Senior Associate Professor in Foundational Mathematics, XJTLU, 2019-
Associate Professor in Mathematical Sciences, XJTLU, 2017 to 2019
Lecturer in Mathematical Sciences, XJTLU, 2012 to 2017
Post-doctoral Research Assistant, Bristol University, UK - 2009 to 2012
Post-doctoral Research Assistant, Bradford University, UK - 2007 to 2009
Network Analyzer, HuaWei Technology Ltd. - 2001 to 2002
Education/Academic qualification
PhD, in Computing and Mathematics, University of Ulster, UK
BSc, in Tecommunication Engineering, Jilin University, China
Person Types
- Staff
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Investigation of Robust Generalization of Adversarial Training in Deep Learning
Zhang, R. & Huang, K.
1/01/24 → 31/12/27
Project: Governmental Research Project
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Digitalization on Global Supply Chain
He, M., Zhu, X., Zhang, R. & Ma, F.
12/05/23 → 12/05/27
Project: Collaborative Research Project
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Non-intrusive objective speech quality assessment by optimization in deep learning
Wen, M., Ma, F., Zhang, R. & 王煜
1/01/20 → 31/12/22
Project: Internal Research Project
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EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables
Gao, P., Yang, X., Zhang, R., Guo, P., Goulermas, J. Y. & Huang, K., 2024, (Accepted/In press) In: IEEE Transactions on Cybernetics. p. 1-13 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Decoupled Learning for Long-Tailed Oracle Character Recognition
Li, J., Dong, B., Wang, Q. F., Ding, L., Zhang, R. & Huang, K., 2023, Document Analysis and Recognition – ICDAR 2023 - 17th International Conference, Proceedings. Fink, G. A., Jain, R., Kise, K. & Zanibbi, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 165-181 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14190 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction
Gao, P., Yang, X., Zhang, R., Huang, K. & Goulermas, J. Y., 1 Jun 2023, In: IEEE Transactions on Knowledge and Data Engineering. 35, 6, p. 5837-5850 14 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Generalized image outpainting with U-transformer
Gao, P., Yang, X., Zhang, R., Goulermas, J. Y., Geng, Y., Yan, Y. & Huang, K., May 2023, In: Neural Networks. 162, p. 1-10 10 p.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Graph Neural Networks with Diverse Spectral Filtering
Guo, J., Huang, K., Yi, X. & Zhang, R., 30 Apr 2023, ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, Inc, p. 306-316 11 p. (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access3 Citations (Scopus)