I'm a fourth year Ph.D. student in UoN, working on causal learning, fuzzy systems and explainable artificial intelligent (XAI).

E-mail: te.zhang@nottingham.ac.uk

Te Zhang

I'm a fourth year Ph.D. student in Prof. Christian Wagner's Group, at School of Computer Science, University of Nottingham, Nottingham, UK. I'm also a member of LUCID. Prior to UoN, I'm a research assistant in Prof. Hisao Ishibuchi's Group. I received my bachelor degree and master degree from Shijiazhuang University and Jiangnan University, respectively.  My research interests are causal learning, fuzzy systems and explainable artificial intelligent (XAI). 

Supervisors

First supervisor: Prof. Christian Wagner
Second supervisor: Prof. Jonathan.M.Garibaldi

Research

My research interests are fuzzy systems and XAI. Particularly, I focus on how to use the causality between different variables to generate fuzzy rules with highly interpretability.

Publications

[Google Scholar Link]

​Journal:

• Te Zhang, Zhaohong Deng, Hisao Ishibuchi, Lie Meng Pang, "Robust TSK Fuzzy System based on Semi-Supervised Learning for Label Noise Data", IEEE Transactions on Fuzzy Systems, Vol. 29, No. 8, pp. 2145-2157, 2021
• Te Zhang, Zhaohong Deng, Dongrui Wu, Shitong Wang, "Multiview fuzzy logic system with the cooperation between visible and hidden views", IEEE Transactions on Fuzzy Systems, Vol. 27, No.6, pp. 1163-1173, 2019
• Peng Xu, Zhaohong Deng, Chen Cui, Te Zhang, Kup-Sze Choi, Suhang Gu, Shitong Wang, "Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning", IEEE Transactions on Fuzzy Systems, Vol. 27, No. 11, pp. 2176-2189, 2019
• Zhaohong Deng,Junyong Chen, Te Zhang, Longbing Cao, Shitong Wang, "Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models", Information Science, Vol. 436-437, pp. 302-319, 2018

Conference:

• Te Zhang, Christian Wagner. "Learning Causal Fuzzy Logic Rules by Leveraging Markov Blankets", 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2794-2799
• Te Zhang, Zhaohong Deng, Kup-Sze Choi, Jiefang Liu, Shitong Wang. "Robust extreme learning fuzzy systems using ridge regression for small and noisy datasets", 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-7

If you are struggling to find a pdf (or code) for one of my papers, please do send me an email and I will send you an author's copy where possible.