Personal profile
Personal profile
Hejia Qiu is an Assistant Professor at the School of AI and Advanced Computing, XJTLU Entrepreneur College (Taicang). He received his Ph.D in Computer Science at The University of Nottingham in 2024. Hejia's research mainly focus on machine learning theory, tensor neural networks, and healthcare applications. He also has experience in the development of VR/MR programs, recommendation system, and block-chain retrieval system.
Please feel free to contact him for any research collaboration opportunities by Hejia.Qiu@xjtlu.edu.cn.
Research interests
- machine learning
- tensor model
- artificial intelligence
- healthcare
- computation decomposition
- stability optimization
- block-chain
Experience
- Assistant Professor, Xi'an Jiaotong-Liverpool University, 2024-Present
- Senior AI Developer, RSS3, 2022
- Research Assistant, NVIDIA-Joint MR Lab, University of Nottingham, 2018-2019
Teaching
- DTS207TC Database Development and Design
- DTS311TC Final Year Project (Supervisor)
- DTS103TC Data Structure and Algorithm
- DTS408TC Big Data Mining, Analysis, and Management (Module-Leader)
- DTS111TC Computer Architecture and Operating Systems
Related documents
Education/Academic qualification
PhD, Computer Science, University of Nottingham
Award Date: 14 Jul 2024
Bachelor, (Hons) Computer Science, University of Nottingham
Award Date: 14 Jul 2019
Research areas
- machine learning
- tensor model
- Healthcare
- Blockchain
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 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 6 Clean Water and Sanitation -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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Advancing Cancer Bioimage and Bioinformation Analysis through Artificial Intelligence Methods
Qiu, H. (PI)
1/07/25 → 30/06/28
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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Q2VA: A Bayesian Adaptive Method for Visual Acuity Assessment with Tumbling E Stimuli
Tao, H., Liang, X., Wang, J., Xu, B., Qiu, H. & Xu, P., Apr 2026, (Accepted/In press) The 39th IEEE International Symposium on Computer-Based Medical Systems (CBMS-2026).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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Machine Learning based Breast Cancer Prognosis Analysis on Multi-Source Big Data
Qiu, H. & Weng, Y., 2025, 2025 8th International Conference on Big Data and Artificial Intelligence (BDAI).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory
Qiu, H., 2023, In: IEEE Transactions on Neural Networks and Learning Systems. 10 p.Research output: Contribution to journal › Article › peer-review