Projects per year
Personal profile
Personal profile
Dr. Hong-Bin Liu is an Assistant Professor in the School of AI and Advanced Computing (AIAC) at the Entrepreneur College (Taicang), Xi’an Jiaotong-Liverpool University. He received his PhD in Computer Science from James Cook University in 2020 and also holds an MSc in Computer Science from RMIT University. Prior to joining XJTLU, he taught multiple postgraduate data science modules at James Cook University as a casual lecturer from 2019 to 2021, following more than five years of industry experience both in China and Australia, leading several large-scale software systems.
Dr. Liu’s research centers on Artificial Intelligence, Spatio-temporal Reasoning, Computer Vision, and Multimodal Perception, with a particular interest in real-world data understanding, predictive learning, and AI applications in intelligent systems. His team has published in leading AI international venues such as CVPR (CCF A, Core A*), IJCAI (CCF A, Core A*), ICDM (CCF B, Core A*), ECAI (CCF B, Core A), IEEE Transactions on Circuits and Systems for Video Technology (CCF B, CAS JCR Q1), IEEE Robotics and Automation Letters (CAS JCR Q2) and Neuralcomputing (CAS JCR Q2), among others. He has also contributed to interdisciplinary and industry-facing research in areas including license plate restoration, federated perception, anomaly detection, and financial time-series reinforcement learning.
He has secured and contributed to multiple competitive research grants, including university–industry joint laboratory funding, research development funds, national horizontal project (MOE Industry Integration Collaborative Education Program), and innovation programmes.
At XJTLU, Dr. Liu teaches across bachelor’s and master’s programmes, covering Parallel Computing, High Performance Computing, Database Systems, Large Model Techniques, and Applied Research Methodologies. He also supervises final-year and postgraduate research projects, and contributes extensively to school-level initiatives. Since 2021, he has served as Professional Development Programme (PDP) Director, leading programme design, industry engagement, and large-scale student development activities.
Dr. Liu welcomes inquiries regarding research collaborations, student supervision, industry partnerships, and interdisciplinary AI applications.
Research interests
Artificial Intelligence
Spatio-Temporal Reasoning
Computer Vision
Intelligent Transportation Systems
Experience
Assistant Professor, School of AI and Advanced Computing (AIAC), Xian Jiaotong-Liverpool University - 2021 to present
Casual Lecturer, James Cook University, 2019-2021
Software Developer, 2013-2017
Teaching
DTS407TC Large Model Techniques
DTS403TC Applied Research Techniques And Methodologies
DTS202TC Fundamentals of Parallel Computing
DTS205TC High Performance Computing
DTS106TC Introduction to Database
Awards and honours
The Australian Government Research Training Program (RTP) Stipend Scholarship, 2017-2020
Nomination for the Academic Excellence Award / Research Supervision Award of 2025
Innovation and Entrepreneurship Mentor, Taicang Science and Technology Park
Second Prize, 2023 Inaugural Industry–University Collaborative Innovation Competition – Robotics & Special Track (Advisor, National level)
Second Prize, 2024 19th National Undergraduate Intelligent Vehicle Competition – iFlytek (Advisor, National level)
Education/Academic qualification
PhD, James Cook University, Australia, 2020
RMIT University, Australia, 2012
Research areas
- Computer Vision
- Artificial Intelligence (AI)
- Intelligent Transportation
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Research and application of computer-aided quantitative analysis system for multi-type digital pathological images
Liu, J. (PI), Meng, J. (Team member), Wang, W. (Team member), Liu, H. (Team member), Huang, S. (Team member), Gong, H. (Team member) & Zhang, Z. (Team member)
1/07/23 → 30/06/26
Project: Governmental Research Project
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Motion Deblurring for Number Plate Recognition
Liu, H. (PI)
1/01/23 → 31/12/25
Project: Internal Research Project
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MoE Industry-Academia Collaboration Cooperative Education Program - AI Project Design and Implementation Based on Edge Computing
Liu, H. (PI), Li, H. (Team member), Liu, J. (Team member) & Huang, S. (Team member)
1/12/23 → 30/11/24
Project: Other
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Suzhou Multimodal Big Data Innovation Application Lab
Li, H. (PI), Stefanidis, A. (Team member), Su, J. (Team member), Xu, P. (Team member), Liu, H. (Team member), Liu, J. (Team member), Zhao, S. (Team member), Liu, H. (Team member), Huang, S. (Team member), Chen, Q. (Team member), Zhao, Y. (Team member), Zeng, Y. (Team member), Shen, F. (Team member), Sun, N. (Team member) & Lv, Y. (Team member)
1/09/23 → 31/08/25
Project: Governmental Research Project
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Research on Domain Generalization of Pathological Image Based on Self-supervised Learning
Liu, J. (PI), Liu, H. (Team member) & Hou, X. (Team member)
1/09/22 → 31/08/25
Project: Internal Research Project
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Enhancing Object Detection in Adverse Weather Conditions Through Entropy and Guided Multimodal Fusion
Zhang, Z., Gong, H., Feng, Y., Chu, Z. & Liu, H., 2025, Computer Vision – ACCV 2024 - 17th Asian Conference on Computer Vision, Proceedings. Cho, M., Laptev, I., Tran, D., Yao, A. & Zha, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 22-38 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15481 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
Zhang, Z., Liu, J., Xia, Y., Huang, T., Han, Q.-L. & Liu, H., Aug 2025, In: IEEE Transactions on Circuits and Systems for Video Technology.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
LP-Diff: Towards Improved Restoration of Real-World Degraded License Plate
Gong, H., Zhang, Z., Feng, Y., Nguyen, A. & Liu, H., Aug 2025, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 17831-17840Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Time series is not enough: Financial Transformer Reinforcement Learning for portfolio management
Ren, X., Sun, R., Jiang, Z., Stefanidis, A., Liu, H. & Su, J., 28 Sept 2025, In: Neurocomputing. 647, 130451.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
A Dataset and Model for Realistic License Plate Deblurring
Gong, H., Feng, Y., Zhang, Z., Hou, X., Liu, J., Huang, S. & Liu, H., Aug 2024, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24). Larson, K. (ed.). International Joint Conferences on Artificial Intelligence, p. 776-784 9 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
1 Citation (Scopus)
Activities
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The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (Event)
Liu, H. (Reviewer)
Dec 2025 → …Activity: Peer-review and editorial work of publications › Publication Peer-review
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Autonomous Garbage Collection Boat
Liu, H. (Supervisor)
Jul 2025Activity: Supervision › Completed SURF Project
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33rd ACM International Conference on Multimedia (Event)
Liu, H. (Reviewer)
2025 → …Activity: Peer-review and editorial work of publications › Publication Peer-review
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Object detection in autonomous driving under adverse weather conditions
Liu, H. (Supervisor)
Jul 2024 → Aug 2024Activity: Supervision › Completed SURF Project
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Multi-target vehicle tracking and attribute recognition from the vehicle perspective
Liu, H. (Supervisor)
Jul 2024 → Aug 2024Activity: Supervision › Completed SURF Project