Projects per year
Personal profile
Personal profile
Dr. Hengyan Liu is an Assistant Professor in the School of AI and advanced computing (AIAC) of Xi’an Jiaotong-Liverpool University (XJTLU). He holds a Doctoral and Master's degree in Electrical and Electronic Engineering from Imperial College London. Hengyan has extensive research and project experience, having served 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, where he led the UKRI project.
Hengyan’s research expertise spans several areas including deep learning, reinforcement learning, computer vision, Large Language Models, multimodal fusion, deep unrolling algorithms, and convex optimization. He has authored several top-tier publications in both conferences and journals and was awarded the 2023 SMC-IoT Best Paper Award as the first author. Hengyan also been invited to serve as the TPC for IEEE ICCCN 2024, work shop chair of ISITSC 2024 and workshop chair of IEEE ICCCN 2025. More details: https://simpsonhu.github.io/ICCCN_AIECN_2025/
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
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
PhD, MSc, Imperial College London
Person Types
- Staff
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Collaborations and top research areas from the last five years
Projects
- 6 Active
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Reviving the Past: Transforming 2D Heritage Treasures into 3D Marvels for Museum Exhibitions
1/01/24 → 1/01/25
Project: Internal Research Project
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Compact Energy Harvesting System for Electronic Devices in Internet-of-Things
Huang, F., Wang, X., Isaac, M., Hu, B., Liu, H. & Zhang, W., 21 Mar 2024, 2023 IEEE 11th Asia-Pacific Conference on Antennas and Propagation, APCAP 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2023 IEEE 11th Asia-Pacific Conference on Antennas and Propagation, APCAP 2023 - Proceedings).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Design of Polarization-Reconfigurable Metasurface-Structured Antenna
Zhang, W., Wang, J., Zhang, D., Wang, S., SENG, J. K. P. & Liu, H., 24 Aug 2024, The 33th International Conference on Computer Communications and Networks (ICCCN 2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Diversity-oriented Contrastive Learning for RGB-T Scene Parsing
Liu, H., Ren, G., Dai, T., Zhang, D., Xu, P., Zhang, W. & Hu, B., 30 May 2024, Proceedings - 2023 2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies, SMC-IoT 2023. Institute of Electrical and Electronics Engineers Inc., p. 155-160 6 p. (International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT)).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
2 Citations (Scopus) -
Federated Learning-Empowered Resource Allocation Optimisation for E-Health IoT System
Goonjur, M. K., Wang, Z., Isaac, M., Liu, H., Huang, S. & Hu, B., 2024, (Accepted/In press) 2024 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Multimodal Frequeny Spectrum Fusion Schema for RGB-T Image Semantic Segmentation
Liu, H., Zhang, W., Dai, T., Yin, L. & Ren, G., 24 Aug 2024, The 33th International Conference on Computer Communications and Networks (ICCCN 2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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The 34th International Conference on Computer Communications and Networks (ICCCN 2025)
Bintao Hu (Chair) & Hengyan Liu (Chair)
2025Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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Multi-model Fusion for Computer Vision
Hengyan Liu (Supervisor)
28 Aug 2024Activity: Supervision › Completed SURF Project
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Deep Reinforcement Learning and its Application
Hengyan Liu (Supervisor) & Bintao Hu (Co-supervisor)
28 Aug 2024Activity: Supervision › Completed SURF Project
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The 2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT 2023)
Hengyan Liu (Participant)
29 Jul 2024 → 31 Jul 2024Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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The 33rd International Conference on Computer Communications and Networks (ICCCN 2024)
Hengyan Liu (Member of programme committee)
29 Jul 2024 → 31 Jul 2024Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …