Projects per year
Personal profile
Personal profile
Dr Hengyan Liu is an Assistant Professor in the AIAT at Xi’an Jiaotong-Liverpool University (XJTLU). He holds both a doctoral degree and a master’s degree in Electrical and Electronic Engineering from Imperial College London. He has extensive research and project experience, having worked as a Research Assistant at Imperial College London for two years and as a Visiting Researcher in the Department of Electronic Engineering at Tsinghua University for one year. He has also led a UKRI-funded project.
His research interests span deep learning, reinforcement learning (RL), computer vision (CV), and large language models.
- CV: Generative AI, image segmentation, object detection, medical image analysis, lesion segmentation and synthesis, anomaly detection, and computer-aided diagnosis.
- RL: world models, causal RL, and vision-language-action (VLA) systems.
Research interests
Deep Learning, Large Language Models,
Reinforcement Learning,
Computer Vision,
Optimization Theory.
Experience
Assistant Professor, Xian Jiaotong-Liverpool University, 2023-present;
Lecturer, Xian Jiaotong-Liverpool University, 2022-2023;
PhD Research Assistant, Tsinghua University, 2020-2021;
Teaching
Convex Optimization; Computer Vision; Coding Theory
Awards and honours
2023, Innovation and Entrepreneurship Talent of Jiangsu Province (江苏省‘双创博士’)
Best Paper Awards, SMC-IoT, 2024
Education/Academic qualification
PhD, MSc, Imperial College London
Research areas
- Deep Learning
- Computer Vision (CV)
- Deep Reinforcement Learning
- Convex Optimization
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 7 Affordable and Clean Energy
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SDG 15 Life on Land
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Collaborations and top research areas from the last five years
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Research on edge intelligent offloading and caching optimisation in low-altitude economy networks
Hu, B. (PI), Xu, S. (Team member), Jia, D. (Team member), Zhang, J. (Team member), Zhang, W. (Team member), Pei, R. (Team member), Liu, H. (Team member), Huang, S. (Team member), Qi, M. (Team member) & Wang, Z. (Team member)
1/10/25 → 1/10/27
Project: Governmental Research Project
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Towards Artificial General Intelligence: Infer and Apply Transferable Knowledge for Reinforcement Learning
Liu, H. (PI)
1/07/23 → 31/12/26
Project: Internal Research Project
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Suzhou Key Specialized Project: AI Model-Based Personalized Education and Potential Development Agent
Liu, H. (PI), Ren, G. (PI), Stefanidis, A. (CoPI), Hu, B. (CoI), Zhang, W. (CoI), Bian, X. (Team member), Huang, J. (Team member), Chen, X. (Team member), Zhang, Y. (Team member), Chen, T. (Team member), Chen, W. (Team member) & Yuan, M. (Team member)
15/04/25 → 15/04/26
Project: Governmental Research Project
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Adapting Vision-Language Models by Pseudo Anomalies Screening for One-Shot Medical Anomaly Detection
Liu, F., Liu, H., Zhang, W., Hu, B. & Ren, G., 15 May 2026, (Accepted/In press) 6th International Conference on Computer Communication and Artificial Intelligence (CCAI 2026).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Fed-LoRA: Cross-Domain Generative Knowledge Feedback for Few-Shot Medical Anomaly Detection
Ning, Z., Wang, Z. & Liu, H., 1 May 2026, (Accepted/In press) IEEE, The 35th International Conference on Computer Communications and Networks (ICCCN 2026).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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HypCLIP-AD: Hyperbolic Visual Projection for Cross-Domain Zero-Shot Anomaly Detection
Ning, Z., Wang, Z. & Liu, H., 1 May 2026, (Accepted/In press) IEEE, The 35th International Conference on Computer Communications and Networks (ICCCN 2026).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Multicolour Space Fusion with Maximum-Margin Classification for Robust Deepfake Detection)
Xiao, H., Luo, J., Liu, Y., Zhu, K., Wang, X. & Liu, H., 20 Jul 2026, 2026 IEEE/CIC International Conference on Communications in China.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A deep learning sentiment analysis framework for low altitude economic networks: integrating blockchain and edge computing technology
Liu, J., Gan, Y., Huang, S., Liu, H., Ren, G. & Zhang, W., Aug 2025, 2025 IEEE/CIC International Conference on Communications in China (ICCC Workshops). (IEEE/CIC International Conference on Communications in China (ICCC Workshops)).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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Diffusion-based Generalizable Visual Anomaly Detection
Liu, H. (Supervisor)
5 Jun 2026 → 20 Aug 2026Activity: Supervision › Completed SURF Project
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AI-Empowered Resource Allocation and Offloading Optimisation in 6G UAV-Assisted Networks
Hu, B. (Supervisor), Zhang, W. (Co-supervisor) & Liu, H. (Co-supervisor)
1 Jun 2025 → 31 Aug 2025Activity: Supervision › Completed SURF Project
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Adapting Vision-Language Models for Few-Shot Detection of Medical Anomalies
Liu, H. (Supervisor), Ren, G. (Co-supervisor), Hu, B. (Co-supervisor) & Zhang, W. (Co-supervisor)
1 Jun 2025 → 31 Aug 2025Activity: Supervision › Completed SURF Project
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Enhancing Large Models with Retrieval-Augmented Generation
Liu, H. (Supervisor), Ren, G. (Co-supervisor), Hu, B. (Co-supervisor) & Zhang, W. (Co-supervisor)
1 Jun 2025 → 31 Aug 2025Activity: Supervision › Completed SURF Project
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Image Generation and Restoration Using Diffusion Models
Liu, H. (Supervisor), Ren, G. (Co-supervisor), Hu, B. (Co-supervisor) & Zhang, W. (Co-supervisor)
1 Jun 2025 → 31 Aug 2025Activity: Supervision › Completed SURF Project