Zhantu Liang

Ph.D. in Information Technology

Name: Zhantu Liang
Date of Birth: October 1995
Email: 2385924737@qq.com
Postal Code: 518055

Education

Sep 2014 – Jul 2018
Shenzhen University
B.Sc. in Computer Science and Technology,Full-time

Sep 2020 – Sep 2021
Vitebsk State University, Belarus
M.Sc. in Psychology,Full-time

Nov 2022 – Oct 2025
Kuala Lumpur Construction University, Malaysia
Ph.D. in Information Technology,Full-time

Research Interests:
Computer vision, spiking neural networks, interdisciplinary intelligent modeling

Professional Experience

Jun 2018 – Aug 2020
Institute of Science and Technology Innovation,Dongguan University of Technology
Position: IT Engineer (Full-time)

Dec 2021 – Sep 2022
Key Laboratory of Engineering Software,Dongguan University of Technology
Position: Head of Development Technology Group (Full-time)

Mar 2024 – Nov 2025
Department of Artificial Intelligence and Data Science,Guangzhou Xinhua University
Position: Full-time Lecturer

Dec 2025 – Present
Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences
Position: Postdoctoral Researcher (Full-time)

Teaching Experience

• Courses taught:
  Digital Image Processing, Advanced Machine Learning
• Student supervision:
  Supervised students winning Second Prize (National Level)
  at the 17th China Undergraduate Computer Design Competition

Academic & Professional Service

• Adjunct Professor and PhD Supervisor,
  Kuala Lumpur University of Science and Technology
• Invited Reviewer, IEEE Access
• Young Editorial Board Member, JCSIS

Selected Publications (Last 3 Years)

1. Liang, Z., Fang, X., Liang, Z., Xiong, J., Deng, F., & Nyamasvisva, T. E. (2024). Graph spiking neural network for advanced urban flood risk assessment. iScience, 27(11).（WoS, IF = 4.6）
2. Liang, Z., Kudayberdievna, K. K., Wu, G., Liang, Z., Isakunovich, B. J., Xiong, W., ... & Li, Y. (2025). Co-evolution model of traffic travel and disease transmission under limited resources. Scientific Reports, 15(1), 8536. （WoS, IF = 3.9）
3. Li, K., Guo, K., Liang, Z., Xu, H., & Duan, X. (2025). Traffic accident severity prediction and analysis via spatio-temporal deep learning: A ConvLSTM-transformer approach. Chaos, Solitons & Fractals, 200, 117047. （WoS, IF = 5.6）
4. Qin, J., Xiong, J., & Liang, Z. (2025). CNN–Transformer gated fusion network for medical image super-resolution. Scientific Reports, 15(1), 15338. （WoS, IF = 3.9）
5. Liang, Z., & Nyamasvisva, T. E. (2023, November). Badminton Action Classification Based on Human Skeleton Data Extracted by AlphaPose. In 2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) (pp. 1-4). IEEE.（EI，scopus）
6. Liang, Z., Kudayberdievna, K. K., Isakunovich, B. J., & Liang, Z. (2024, March). Comparative study of deep learning models for action recognition based on skeleton data. In International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023) (Vol. 13105, pp. 673-678). SPIE.（EI、scopus）
7. Deng, F., Liang, Z., Xu, L., & Wu, X. (2024, July). Cricket Action Classification Based on Skeleton Data Extracted by OpenPifPaf. In 2024 20th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) (pp. 1-5). IEEE.（EI、scopus）

Patents

• Utility Model Patent: A Computer Keyboard with an Easy Internal Dust-Cleaning Structure

Project Experience

Qinghai–Tibet Plateau River and Lake Evolution Project

• River extraction and identification
• Lake information publishing and hydrological data visualization
• High-fidelity scenario visualization of river–lake evolution
• Real-time visualization of wind field, temperature, and precipitation

Technologies:
JavaScript, Vue, Cesium, Python, Linux, Docker, Machine Learning, Computer Vision

Global River Network Platform

• Platform development and deployment
• Global river network extraction, naming, and visualization
• Visualization of lakes, reservoirs, and dams in China
• Real-time global DEM layer visualization

Platform:
https://river-eslab.dgut.edu.cn/zh-CN/map/basic

Skills

• Programming: Python, Java, JavaScript, Vue, Cesium
• Systems: Docker, Linux
• Databases: MySQL, PostgreSQL
• Artificial Intelligence: Machine Learning, Deep Learning, Spiking Neural Networks
• Certification: OCJP — Oracle Certified Java Programmer