Research Output per year
Personal profile
Biography
Tianhua Chen received the Ph.D. degree in Computational Intelligence from Aberystwyth University, U.K., in 2017. He is currently a Lecturer at the Department of Computer Science, School of Computing and Engineering, University of Huddersfield. Prior to this, Tianhua held an indefinite post of Research Fellow in the same department, where he has been working across a number of projects as a co-investigator applying Artificial Intelligence.
With firsthand experience working with NHS and medical stakeholders in areas such as diabetes and ADHD diagnosis, Tianhua's main research interests lies in the realm of computational intelligence, data mining and analysis with application to healthcare intelligence. Tianhua is a regular reviewer for highly prestigous journals such as IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.
Research Expertise and Interests
Areas of research interest:
- Machine Learning
- Computational Intelligence
- Intelligent Systems
- Fuzzy Systems
Services:
- Special Session Chair, the 12th International Conference on Intelligent Robotics and Applications (ICIRA 2019)
- Programme Committee Member, the 28th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019)
- Programme Committee Member, the 19th Annual UK Workshop on Computational Intelligence (UKCI-2019)
- Programme Committee Member, the 16th IEEE International Conference on e-Business Engineering (ICEBE 2019)
- Programme Committee Member, 16th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2019)
- Programme Committee Member, the 27th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018)
- Session Chair, the 18th Annual UK Workshop on Computational Intelligence (UKCI-2018)
- Programme Committee Member, the 15th IEEE International Conference on e-Business Engineering (ICEBE 2018)
- Programme Committee Member, the 2018 IEEE International Symposium on Smart City and Informatization (iSCI 2018)
Keywords
- Machine Learning
- Computational Intelligence
- Intelligent Systems
- Deep Learning
- Fuzzy Systems
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Fuzzy rules
Engineering & Materials Science
Agglomeration
Engineering & Materials Science
Particle swarm optimization (PSO)
Engineering & Materials Science
Fuzzy clustering
Engineering & Materials Science
Fuzzy Rules
Mathematics
Classifiers
Engineering & Materials Science
Feature extraction
Engineering & Materials Science
Linguistics
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2014 2019
A New Approach for Transformation-based Fuzzy Rule Interpolation
Chen, T., Shang, C., Yang, J., Li, F. & Shen, Q., 9 Oct 2019, (Accepted/In press) In : IEEE Transactions on Fuzzy Systems.Research output: Contribution to journal › Article
Fuzzy rules
Fuzzy Rules
Interpolation
Interpolate
Rule Base
On the Application of Preaggregation Functions to Fuzzy Pattern Tree
Su, P., Chen, T., Mao, H., Xie, J., Zhao, Y. & Liu, J., 8 Apr 2019, (Accepted/In press) IEEE International Conference on Fuzzy Systems 2019. IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Agglomeration
Mathematical operators
Binary trees
Fuzzy set theory
Knowledge based systems
Sentiment Classification of Drug Reviews Using Fuzzy-rough Feature Selection
Chen, T., Su, P., Shang, C., Hill, R., Zhang, H. & Shen, Q., 5 Apr 2019, (Accepted/In press) IEEE International Conferences on Fuzzy Systems 2019. IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Feature extraction
Public health
Dominant-Set-Based Consensus for Fuzzy C-Means Clustering Ensemble
Su, P., Chen, T., Xu, W., Shao, X., Wang, H. & Zhao, Y., 12 Nov 2018, Proceedings of 2018 International Conference on Machine Learning and Cybernetics, ICMLC 2018. IEEE, Vol. 1. p. 85-90 6 p. 18232967Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Experiments
Effective Diagnosis of Diabetes with a Decision Tree-initialised Neuro-Fuzzy Approach
Chen, T., Shang, C., Su, P., Antoniou, G. & Shen, Q., 12 Aug 2018, Advances in Computational Intelligence Systems: Contributions Presented at the 18th UK Workshop on Computational Intelligence. Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C. & McGinnity, M. (eds.). Springer, Cham, p. 227-239 13 p. (Advances in Intelligent Systems and Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Medical problems
Decision trees
Fuzzy rules
Hazards
Health
Activities 2018 2019
The 12th International Conference on Intelligent Robotics and Applications
Tianhua Chen (Chair)8 Aug 2019 → 11 Aug 2019
Activity: Participating in or organising an event types › Organising a conference, workshop, ...
Artificial Intelligence in Medicine (Journal)
Tianhua Chen (Editor), Grigoris Antoniou (Editor)2019 → …
Activity: Publication peer-review and editorial work types › Editorial work
18th Annual UK Workshop on Computational Intelligence
Tianhua Chen (Chair)5 Sep 2018
Activity: Participating in or organising an event types › Organising a conference, workshop, ...
Effective Diagnosis of Diabetes with a Decision Tree-Initialised Neuro-Fuzzy Approach
Tianhua Chen (Speaker), Grigoris Antoniou (Contributor to Paper or Presentation), Changjing Shang (Contributor to Paper or Presentation), Pan Su (Contributor to Paper or Presentation), Qiang Shen (Contributor to Paper or Presentation)5 Sep 2018
Activity: Talk or presentation types › Oral presentation
Weighted Fuzzy Rules Optimised by Particle Swarm for Network Intrusion Detection
Tianhua Chen (Speaker), Pan Su (Speaker), Changjing Shang (Speaker), Qiang Shen (Speaker)8 Jul 2018
Activity: Talk or presentation types › Oral presentation