Projects per year
Personal profile
Personal profile
Dr. Qi Jun（祁君） is an associate professor at Xi'an Jiaotong-Liverpool University. She is also recognized as National High-level Talent of China (入选国家级高层次人才)，and one of the "Top 100 Outstanding Overseas Chinese Scholars" by China Ministry of Human Resources and Social Security. She holds a PhD in Computer Science from Liverpool John Moores University in the UK and completed her postdoctoral research at the University of Oxford UK. Her research focuses on medical-related artificial intelligence algorithms and brain computer interface. She has published over 80 high-quality papers and led two subprojects of the National Key Research and Development Program, one project funded by the National Natural Science Foundation of China, and other key support projects for Chinese returnees, with a total funding of more than RMB 9 million.
Research interests
Healthcare informatics
AI clinical application
Wearable sensing
Experience
2024-present, Associate professor, Xi’an JiaoTong-Liverpool University, China
2020-2024, Assistant professor, Xi’an JiaoTong-Liverpool University, China
2019-2020, Post-doctoral researcher, University of Oxford, U.K.
2013-2014, Research Associate, University of Ulster, U.K.
Teaching
CPT406 Artificial Intelligence
CPT103, Introduction to Database
CPT406 Artificial Intelligence
CPT103, Introduction to Database
Awards and honours
National high-level talent of China in 2024
2018 Chinese government award for outstanding self-finance students abroad
ESI Highly Cited Paper Award in 2018
Best Student Paper Award, The 2017 International Workshop on Internet of Things and Big Data for Healthcare (IoTBDH), Exeter, UK, 2017
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):
Education/Academic qualification
Liverpool John Moores Unviersity, UK, PhD, 2019
Research areas
- Biomedical engineering
- Biomedical Informatics
- Artificial Intelligence (AI)
Person Types
- Staff
Fingerprint
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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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Suzhou SIP Extended-Energy Big Data and Intelligent Computing High-Level Innovation (Research) Platform
Ma, J., Xue, F., Lim, E. G., Xu, Z., Xu, D., Xiao, J., Chen, M., Yue, Y., Man, K. L., Yao, L., Jin, X., Liu, D., Ji, C., Pan, Y., Zhu, X., Xiang, N., Zhang, H., Chen, X., Xu, X., Han, B., Qi, J., Fang, L., Zhang, J., Zhao, Y., Dong, Y., Cai, J., Wang, Y., Lin, Y. & Cao, S.
1/10/24 → 30/09/26
Project: Governmental Research Project
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Application of Machine Learning and Transform Methods to Classify ASD EEG Signals
Melinda, Li, N., Juwono, F., Qi, J., Seong, M., Purwanto, E., Oktiana, M. & Yunidar
28/03/24 → 31/12/25
Project: Collaborative Research Project
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Research on Key techniques for predicting the progression of Alzheimer's disease based on MRI images
1/01/24 → 31/12/26
Project: Governmental Research Project
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Research and Development of Manufacturing Resource Management Based on Knowledge Graph
Ma, J., Zhu, X., Pan, Y. & Qi, J.
20/12/23 → 20/12/26
Project: Collaborative Research Project
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Background suppression and comprehensive prototype pyramid distillation for few-shot object detection
Li, N., Wang, M., Yang, G., Li, B., Yuan, B., Xu, S. & Qi, J., May 2025, In: Robotics and Autonomous Systems. 187, 104938.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
DistilCLIP-EEG: Enhancing Epileptic Seizure Detection Through Multi-modal Learning and Knowledge Distillation
Wang, Z., Shi, L., Wu, H., Luo, J., Kong, X. & Qi, J., 2025, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review
Open Access -
EEG-TBSANet: Temporal-Spectral Fusion Network for Robust Epilepsy Diagnosis from EEG
Ji, S., Wang, W., Chen, J. & Qi, J., 2025, IEEE International Conference on Industrial Informatics (INDIN).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis
Chen, Z., Wang, M., Nan, F., Yang, Y., Li, S., Zhou, M., Qi, J., Wang, H. & Yang, P., 15 Sept 2025, In: Engineering Applications of Artificial Intelligence. 156, 111102.Research output: Contribution to journal › Article › peer-review
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SentireCache: Accelerate Sentiment Classification With Saliency-Based Caching
Zhu, Y., Jia, J., Dong, M. & Qi, J., 2025, In: IEEE Transactions on Affective Computing. 16, 3, p. 1349-1361 13 p.Research output: Contribution to journal › Article › peer-review
Activities
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IoTBDH-2024: The 6th International Workshop on Internet of Things of Big Data for Healthcare
Jun Qi (Organiser)
3 Dec 2024Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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Advanced artificial intelligence for internet of autonomous things
Jun Qi (Chair)
30 Oct 2024Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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IEEE Journal of Selected Areas in Sensors (Journal)
Jun Qi (Reviewer)
23 Jul 2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare (Event)
Jun Qi (Chair)
22 Oct 2023Activity: Membership › Membership of committee
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IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare
Jun Qi (Participant)
22 Oct 2023Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …