Research output per year
Research output per year
Personal profile
Research Interests
- Computational Intelligence
- Operation Research
- Machine Learning
- Reinforcement Learning
- Computational Finance
Personal profile
Dr.Tianxiang Cui is an assistant professor in the School of Computer Science at the University of Nottingham Ningbo China (UNNC) and a senior member of IEEE. Before joining UNNC, he was a senior AI engineer in Huawei and a senior algorithm researcher in PingAn. He was involved in some frontier industrial projects, including autonomous driving and quantitative trading. His main research interests include Computational Intelligence, particularly metaheuristic, evolutionary computation and neural networks; Machine Learning and Reinforcement Learning.
Teaching
Dr.Tianxiang Cui has taught the following modules at undergraduate level since 2016.
- Computer Communications and Networks
- Systems and Architecture
- Languages and Computation
- Database and Interface
- Mathematics for Computer Scientist
- Machine Learning
Person Types
- Staff
Fingerprint
Dive into the research topics where Tianxiang Cui is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem
Lin, B., Li, J., Cui, T., Jin, H., Bai, R., Qu, R. & Garibaldi, J., 1 Sept 2024, In: Expert Systems with Applications. 249, part AResearch output: Journal Publication › Article › peer-review
Open Access3 Citations (Scopus) -
A scenario-customizable and visual-rendering simulator for on-vehicle vibration energy harvesting
Guo, F., Li, J., Thein, C. K., Gao, A., Ren, J., Lee, C. H., Li, J., Cui, T. & Yu, H., Dec 2024, In: Sustainable Computing: Informatics and Systems. 44, 101039.Research output: Journal Publication › Article › peer-review
Open Access -
Cardinality and Bounding Constrained Portfolio Optimization Using Safe Reinforcement Learning
Li, Y., Du, N., Song, X., Yang, X., Cui, T., Xue, N., Farjudian, A., Ren, J. & Cheah, W. P., 2024, 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Commodity market stability and sustainable development: The effect of public health policies
Ding, S., Wang, A., Cui, T., Du, A. M. & Zhou, X., Jun 2024, In: Research in International Business and Finance. 70, 102386.Research output: Journal Publication › Article › peer-review
Open Access2 Citations (Scopus) -
Container port truck dispatching optimization using Real2Sim based deep reinforcement learning
Jin, J., Cui, T., Bai, R. & Qu, R., 16 May 2024, In: European Journal of Operational Research. 315, 1, p. 161-175 15 p.Research output: Journal Publication › Article › peer-review
Open Access8 Citations (Scopus)