Projects per year
Personal profile
Personal profile
Dr. Mian Zhou is a Senior Associate Professor at the School of AI and Advanced Computing, XJTLU Entrepreneur College (Taicang), Xi’an Jiaotong-Liverpool University. With a Ph.D. in Computer Science from the University of Reading, and extensive experience in both academia and industry, he has cultivated expertise in artificial intelligence, machine vision, and intelligent autonomous technologies. Dr. Zhou has successfully led numerous high-impact research projects funded by esteemed organizations, such as the NSFC and the Ministry of Science and Technology of China, resulting in groundbreaking contributions to AI-based network security, blockchain technology, and human action recognition. A prolific researcher with publications in top-tier journals and conferences, he is also a recipient of prestigious awards, including the First Prize at the Multi-Target Multi-Camera Tracking Challenge. His innovative teaching methods and strong leadership skills continue to inspire the next generation of AI professionals.
Research interests
Dr. Mian Zhou’s research interests lie at the intersection of artificial intelligence and intelligent autonomous systems, focusing on the development and application of cutting-edge technologies to address real-world challenges. His areas of expertise include:
- Multi-Modal Machine Learning: Advancing methods that integrate and process diverse data modalities (e.g., visual, textual, and sensor data) to enhance intelligent decision-making for autonomous vehicles, drones, and vessels.
- Computer Vision and Pattern Recognition: Investigating innovative approaches for object detection, human action recognition, and semantic scene understanding using deep learning and vision-based techniques.
- Blockchain and Data Security: Exploring secure, decentralized frameworks for data sharing and collaboration in social governance and network security.
- Reinforcement Learning and Autonomous Systems: Designing adaptive algorithms for real-time decision-making and optimization in intelligent autonomous technologies.
- Human-Centric AI: Developing AI solutions that improve interaction between humans and machines, including emotion recognition, facial analysis, and visual storytelling.
Dr. Zhou is committed to advancing the field of artificial intelligence while fostering interdisciplinary collaboration and contributing to sustainable and intelligent future technologies.
Education/Academic qualification
PhD, Gabor-Boosting Face Recognition, University of Reading
1 Apr 2003 → 1 Sept 2008
Award Date: 1 Dec 2008
Master, Visual Perception for Human Body Language, Queen Mary University of London
1 Sept 2001 → 1 Aug 2002
Award Date: 1 Dec 2002
Bachelor, Image Processing Tools and System, Wuhan University of Technology
1 Sept 1997 → 1 Jul 2001
Award Date: 1 Jul 2001
Research areas
- Artificial Intelligence (AI) and Image Processing
- Computer Vision (CV)
- machine learning
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 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 17 Partnerships for the Goals
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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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Continuous Learning on Retrieval-Augmented Generation in Large Langauge Models
Zhou, M. (PI)
1/01/26 → 31/12/28
Project: Internal Research Project
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Innovative Syntegrative Education: Emotions Understanding in Human–Robot Interaction through Industry-Engaged Project-Based Learning
Li, C. (PI), Su, J. (Team member), Zhou, M. (Team member), Dang, K. (Team member), Jiang, Z. (Team member), Bai, T. (Team member), Hasan, M. M. (Team member), Stefanidis, A. (Team member), Zhong, H. (Team member), Hu, B. (Team member), Dong, Y. (Team member), Chen, S.-H. (Team member), Zhang, J. (Team member) & Sun, H. (Team member)
1/01/26 → 31/12/28
Project: Internal Research Project
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XJTLU-Deepleaper Instant Knowledge Engine Joint Laboratory
Zhou, M. (PI), Chen, B. (Team member), Su, J. (Team member), Jiang, Z. (Team member), Li, C. (Team member), Wang, R. (Team member), Zhang, X. (Team member), Nan, J. (Team member) & Yan, J. (Team member)
1/06/25 → 31/05/30
Project: Collaborative Research Project
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Innovative Syntegrative Education initiative: BEng AI- AIAI XEC Pathway
Zhou, M. (PI), Stefanidis, A. (Team member), Su, J. (Team member), Hasan, M. M. (Team member), Chen, Q. (Team member), Li, C. (Team member), Dang, K. (Team member), Jiang, Z. (Team member), Lo, J. (Team member), Xiang, M. (Team member), Cao, N. (Team member), Huang, Y. (Team member), Kim, J. Y. (Team member), Zhang, J. (Team member), Zou, C. (Team member) & Sun, H. (Team member)
1/01/25 → 31/12/27
Project: Internal Research Project
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Key Technology of Blockchain-based Social Governance Data Security Collaboration and Sharing
Zhou, M. (CoI)
1/01/21 → 31/12/22
Project: Governmental Research Project
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A deep learning radiomics model for predicting non-sentinel lymph node metastases in early-stage breast cancer patients
Li, J., Miao, Y., Chen, J., Stefanidis, A., Zhou, M., Wu, T., You, Z., Su, J. & Zhang, K., 2026, In: Future Oncology. 22, 1, p. 45-57 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Review of Neural Network Compression Baseline Algorithms and Comparative Study Analysis
Fu, W., Strauss, T., Zhou, M. & LEFEVRE, P., 2026, A Review of Neural Network Compression Baseline Algorithms and Comparative Study Analysis. 2026 11th International Conference on Signal and Image Processing (ICSIP 2026)Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open AccessFile97 Downloads (Pure) -
CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility
Li, Y., Zhang, Y., Tang, F., Hu, M., Lu, Z., Xue, H., Wu, J., Chen, R., Zhou, M., Dang, K., Li, C., Wang, Y., Razzak, I. & Su, J., 20 Apr 2026, KDD 2026 - Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. Association for Computing Machinery, p. 2723-2734 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 1-A).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening
Lu, Z., Li, Y., Tang, F., Jiang, Z., Li, C., Zhou, M., Li, T. & Su, J., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 46 ed. Association for the Advancement of Artificial Intelligence, p. 38989-38997 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 46).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access -
DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening: DeepGB-TB
Lu, Z., Li, Y., Tang, F., Jiang, Z., Li, C., Zhou, M., Li, T. & Su, J., 14 Mar 2026, Proceeding of the 40th Annual AAAI Conference on Artificial Intelligence: AAAI 2026. AAAI press, Vol. 40. p. 38989-38997 9 p. 46Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open AccessFile41 Downloads (Pure)
Activities
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How to mitigate the gap between academia and industry and extend Syntegrative Education explorations
Zhou, M. (Speaker)
9 Apr 2026Activity: Talk or presentation › Invited talk
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Invited Speaker at ICIIT2026
Zhou, M. (Speaker)
6 Mar 2026Activity: Talk or presentation › Invited talk
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Invited Speaker at The 3rd Aeronoutics Computing and Simulation Conference
Zhou, M. (Speaker)
8 Dec 2025Activity: Talk or presentation › Invited talk
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8th International Conference on Big Data and Artificial Intelligence (BDAI 2025)
Zhou, M. (Participant)
23 Aug 2025Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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8th International Conference on Big Data and Artificial Intelligence (BDAI 2025)
Zhou, M. (Participant)
23 Aug 2025 → 24 Aug 2025Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …