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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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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Suzhou Municipal Key Lab of Cognitive Computing and Applied Technology
Wang, Q., Man, K. L., Wang, X., Ma, F., Wen, H., Jin, X., Xiao, J., Xu, M., Chen, M., Lee, S., Wang, Z., Liu, G., Niu, Q., Wen, M., Yu, L., Zhang, R., Wang, W., Liu, W., Ma, J., Zhao, C., Yang, R., Liu, Q., Zhang, Q., Yang, X., Song, P., Wang, J., Li, S., Li, Y., Yu, L., Zhu, X., Chen, J., Selig, T., Lim, E. G., Huang, K., Hussain, A., Coenen, F., Tillo, T., Huang, X., Yi, X., Guan, S., Yue, Y., Liang, H. & Kim, J.
1/07/19 → 30/06/21
Project: Governmental Research Project
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Open-Pose 3D zero-shot learning: Benchmark and challenges
Zhao, W., Yang, G., Zhang, R., Jiang, C., Yang, C., Yan, Y., Hussain, A. & Huang, K., Jan 2025, In: Neural Networks. 181, 106775.Research output: Contribution to journal › Article › peer-review
Open Access -
Cipher-Prompt: Towards a Safe Diffusion Model via Learning Cryptographic Prompts
Jiang, S., Wang, S., Zhang, R., Yang, X. & Huang, K., 22 May 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., 28 Feb 2024, In: IEEE Transactions on Cybernetics. 54, 9, p. 5381-5393 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting
Guo, J., Huang, K., Zhang, R. & Yi, X., Sept 2024, (Accepted/In press) In: IEEE Transactions on Pattern Analysis and Machine Intelligence.Research output: Contribution to journal › Article › peer-review
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Investigation of Explainable Arbitrary-Step Time Series Prediction with Deep Neural Networks
Rui Zhang (Supervisor), Qiufeng Wang (Co-supervisor) & Yi Dong (Co-supervisor)
1 Sept 2024 → …Activity: Supervision › PhD Supervision
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Unified Spectral Graph Neural Networks with Diverse Spectral Filters
Rui Zhang (Supervisor), Qiufeng Wang (Co-supervisor) & Guangliang Cheng (Co-supervisor)
1 Dec 2023 → …Activity: Supervision › PhD Supervision
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Investigation of Generalized Graph Neural Networks with Diverse Spectral Filtering
Rui Zhang (Supervisor), Qiufeng Wang (Co-supervisor) & Guangliang Cheng (Co-supervisor)
1 Sept 2023 → …Activity: Supervision › PhD Supervision
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Investigation of object segmentation based on high-density 3-D point cloud data
Rui Zhang (Supervisor), Xinheng Wang (Co-supervisor), Xinping Yi (Co-supervisor) & Kaizhu Huang (Co-supervisor)
1 Jun 2022 → …Activity: Supervision › PhD Supervision
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Deep Learning in Finance and Risk Prediction with Reliable Modelling
Rui Zhang (Supervisor), Yannis Goulermas (Co-supervisor), Kaizhu Huang (Co-supervisor) & Jinchang Ren (External PhD examiner)
1 Jun 2019 → 22 Oct 2023Activity: Supervision › PhD Supervision