Projects per year
Personal profile
Personal profile
Dr. Hong-Bin Liu is an assistant professor in the school of AI and Advanced Computing (AIAC). He obtained his PhD in Information Technology from James Cook University. During his PhD study, Hongbin published several top-tier conference papers in the field of Data Mining and Artificial Intelligence, including ICDM 2019 and ECAI 2020. Immediately before joining the AIAC team, he worked as a casual academic, teaching several data science subjects. Hongbin spent more than five years working in the IT industry prior to undertaking his PhD. Currently, Hongbin’s research focus is on Artificial Intelligence, Spatio-temporal Reasoning, and Computer Vision. Please feel free to contact him for any research collaboration opportunities.
Research interests
Artificial Intelligence
Spatio-Temporal Reasoning
Computer Vision
Experience
Assistant Professor, School of AI and Advanced Computing (AIAC), Xian Jiaotong-Liverpool University - 2021 to present
Casual Academics, James Cook University, 2019-2021
Software Developer, 2013-2017
Teaching
DTS205TC High Performance Computing
DTS202TC Fundamentals of Parallel Computing
DTS106TC Introduction to Database
Awards and honours
The Australian Government Research Training Program (RTP) Stipend Scholarship, 2017-2020
Education/Academic qualification
PhD, James Cook University, Australia, 2020
RMIT University, Australia, 2012
Person Types
- Staff
Fingerprint
Collaborations and top research areas from the last five years
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Research on Domain Generalization of Pathological Image Based on Self-supervised Learning
1/09/22 → 31/08/25
Project: Internal Research Project
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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).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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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., 2024, (Accepted/In press) 17th Asian Conference on Computer Vision: ACCV 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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On the Federated Learning Framework for Cooperative Perception
Zhang, Z., Liu, J., Zhou, X., Huang, T., Han, Q-L., Liu, J. & Liu, H., Nov 2024, In: IEEE Robotics and Automation Letters.Research output: Contribution to journal › Article › peer-review
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一种基于多尺度输入的生成式车牌图像去模糊方法
Liu, H. & Gong, H., 2024, IPC No. Pat2024-0018, Patent No. 2024105922076Translated title of the contribution :A Generative License Plate Image Deblurring Method Based on Multi-Scale Inputs Research output: Patent
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Film-GAN: towards realistic analog film photo generation
Gong, H., Su, J., SENG, J. K. P., Nguyen, A., Liu, A. & Liu, H., 2023, In: Neural Computing and Applications.Research output: Contribution to journal › Article › peer-review
Activities
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Object detection in autonomous driving under adverse weather conditions
Hongbin Liu (Supervisor)
Jul 2024 → Aug 2024Activity: Supervision › Completed SURF Project
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Multi-target vehicle tracking and attribute recognition from the vehicle perspective
Hongbin Liu (Supervisor)
Jul 2024 → Aug 2024Activity: Supervision › Completed SURF Project
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IEEE Access (Journal)
Hongbin Liu (Reviewer)
Apr 2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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Lane-changing tracking detection and risk assessment system for front vehicle based on on-board video
Hongbin Liu (Supervisor)
Sept 2023 → Aug 2027Activity: Supervision › PhD Supervision
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IEEE (External organisation)
Hongbin Liu (Chair)
1 Jul 2023Activity: Membership › Membership of committee