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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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Projects
- 2 Active
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Industrial AI Agents Development Powered by LLMs
Xu, P. (Team member), Gan, H. S. (Team member), Liu, Y. (Team member) & Chen, B. (PI)
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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Benchmarking Dimension-Inverted Transformers for High-Precision Forward Kinematics of Industrial Manipulators
You, X., Liu, Y., Xu, P. & Qiu, H., 2026, (Accepted/In press) The 9th IEEE International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2026). IEEE, 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., Mar 2026, The 8th IEEE International Conference on Pattern Recognition and Artificial Intelligence. IEEE, p. 56-60 5 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Submersible Pump Impeller Product Anomaly Detection Using an Advanced Deep Learning Model ─ EfficientNetV2
Liu, Y., Xu, P., Gan, H. S. & Qiu, H., 2026, (Accepted/In press) The 9th International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2026). IEEE, 7 p.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Substantial Discrepancies Across Global Satellite XCO2 Products: A Systematic Evaluation
Yang, J., Tan, J., Xia, R., Liu, Y., Morse, A. P. & Mu, Q., 22 Jan 2026, In: Remote Sensing. 18, 2, 371.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
A Novel Decision Support System for Early Flood Warning Using Cellular Automata and Support Vector Machine
Liu, Y., Feb 2025, The 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