Projects per year
Personal profile
Personal profile
Yang Liu graduated with an MSc in Autonomous System and a PhD in Engineering from University of Exeter, UK. He worked at University of Manchester and University of Edinburgh on AI and optimisation until moving to Bank of America Merrill Lynch (Top 2 investment bank in the world) to work on Artificial Intelligence model validation for financial forecasting. After working on Artificial Intelligence model development for UK industries at University of Sheffield, UK , he is now appointed senior associate professor at Xi’an Jiaotong-Liverpool University. Research interests are in artificial intelligence, statistical pattern recognition and optimisation. Particular current interests are in real time anomaly detection and forecasting for industry problems using advanced artificial intelligence techniques (e.g. deep learning, AI with big data, computer vision and explainable AI).
Welcome excellent students to apply for PhD studies in Artificial Intelligence (e.g., Computer Vision, Big Data and Deep Learning and Explainable AI) and anomaly detection for engineering and medical applications.
Research interests
Artificial Intelligence
Statistical Pattern Recognition
Optimisation
Teaching
- Python Programming
- Pattern Recognition (Module Leader)
Awards and honours
- The Excellent Presentation Winner for the 7th IEEE International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2024).
- The Best Oral Presentation Winner for the 4th ACM International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2024).
Education/Academic qualification
MSc, University of Exeter
PhD, University of Exeter
Research areas
- Big Data and Deep Learning
- Computer Vision
- Pattern Recognition
- Industry Anomaly Detection
- Optimization and Simulation
- Data Mining and Machine Learning
- FinTech
- Robotics
Person Types
- Staff
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Collaborations and top research areas from the last five years
Projects
- 2 Active
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Industrial AI Agents Development Powered by LLMs
Chen, B. (PI), Xu, P. (Team member), Gan, H. S. (Team member) & Liu, Y. (Team member)
1/09/25 → 1/09/28
Project: Collaborative Research Project
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A Fast Optimisation Using Advanced Artificial Intelligence Model for Fitness Estimation and Differential Evolution Optimisation
Liu, Y. (PI)
1/07/24 → 30/06/27
Project: Internal Research Project
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A Novel Decision Support System for Early Flood Warning Using Cellular Automata and Support Vector Machine
Liu, Y., Feb 2025, Proceedings of the 2024 4th International Joint Conference on Robotics and Artificial Intelligence, JCRAI 2024. Association for Computing Machinery (ACM), p. 72-77 6 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Brain Tumor Detection Using Advanced Deep Learning Models ─ Vision Transformer and EfficientNetV2
Liu, Y. & Yu, L., Aug 2025, (Accepted/In press) IEEE 8th International Conference on Pattern Recognition and Artificial Intelligence. IEEE, 5 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Deep Learning with Gated Recurrent Unit Recurrent Neural Networks and Multi-objective Optimisation for Portfolio Management
Liu, Y. & Yu, L., 14 Jan 2025, IEEE 7th International Conference on Pattern Recognition and Artificial Intelligence. IEEE, p. 1037-1042Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Novel Volatility Forecasting Using Deep Learning - Long Short Term Memory Recurrent Neural Networks
Liu, Y., 22 Apr 2019, In: Expert Systems with Applications. 132, p. 99 109 p., 132.Research output: Contribution to journal › Article › peer-review
166 Citations (Scopus) -
A novel battery network modelling using constraint differential evolution algorithm optimisation
Liu, Y., Rowe, M., Holderbaum, W. & Potter, B., 1 May 2016, In: Knowledge-Based Systems. 99, p. 10-18 9 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus)