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
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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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Cipher-Prompt: Towards a Safe Diffusion Model via Learning Cryptographic Prompts
Jiang, S., Wang, S., Zhang, R., Yang, X. & Huang, K., 2024, Advances in Brain Inspired Cognitive Systems - 13th International Conference, BICS 2023, Proceedings. Ren, J., Hussain, A., Liao, I. Y., Chen, R., Huang, K., Zhao, H., Liu, X., Ma, P. & Maul, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 322-332 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14374 LNAI).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Continuous Image Outpainting with Neural ODE
Gao, P., Yang, X., Zhang, R. & Huang, K., 25 Apr 2024, In: ACM Transactions on Multimedia Computing, Communications and Applications. 20, 7, 203.Research output: Contribution to journal › Article › peer-review
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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 -
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning
Yang, G., Huang, K., Zhang, R. & Yang, X., 23 Apr 2024, In: Neural Computation. 36, 5, p. 936-962 27 p.Research output: Contribution to journal › Letter › peer-review
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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