Personal Profile
Assistant Professor, PhD, and Associate Researcher at the National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University. Current research focuses on intelligent short-term forecasting, AI+NWP fusion research, high-precision regional AI forecasting models, and refined weather forecasting. Extensive research experience is available in interdisciplinary fields such as AI+Biomedicine and AI+Meteorology. He has led 5 research projects, including the National Natural Science Foundation of China (NSFC) Youth Fund, and participated as a key member in 5 other research projects, including the National Key Research and Development Program of China. He has published over 20 high-level international journal and conference papers, including 20 as first author/corresponding author (in top journals such as TNNLS and TGRS).
Research Interests
Pattern recognition, machine learning, AI+meteorology, interpretable artificial intelligence, physically constrained machine learning, etc.
Admissions Message
Recruiting Master's students; places are still available for the 2025 cohort. Internships and exchange visits are supported, provided they do not affect graduation. Happy learning, happy research, happy life!
Education Background
2015.08-2019.04, University of Macau, Computer Science, PhD
2013.09-2015.07, University of Macau, Software Engineering, Master
2009.09-2013.06, University of Macau, Software Engineering, Bachelor
Work Experience
2025.01-Present, Shenzhen University, Assistant Professor/Distinguished Associate Researcher
2020.05-2024.12, Shenzhen Meteorological Innovation Research Institute, Researcher
2019.06-2020.05, University of Queensland, Australia, Postdoctoral Researcher
Projects Led
2022.01-2024.12, National Natural Science Foundation of China (NSFC) Youth Project, Research on Cloud Microphysical Parameterization Integrating Interpretable Artificial Intelligence and Feature Analysis.
2023.01-2025.12, Guangdong Provincial Natural Science Foundation General Program: Research on Short-Term Heavy Precipitation Nowcasting Methods Based on Physically Constrained Machine Learning.
2024.11-2027.10, Guangdong Provincial Natural Science Meteorology Joint Foundation General Program: Research on Intelligent Identification and Forecasting of Severe Convective Weather with Small Samples Incorporating Expert Experience.
2024.06-2026.06, Guangdong Provincial Meteorological Bureau General Program: Development of Adaptive Technology for Cumulus Convection Schemes Based on Machine Learning.
2021.04-2021.11, Foshan Tornado Research Center: Radar Extrapolation Based on Artificial Intelligence. (Horizontal project, completed)
Representative Achievements
More than 20 papers have been published, including 20 as first author/corresponding author. 10 representative achievements are as follows:
[1] Xiangrui Meng# (supervisor), Huan Zhao#, Ting Shu*, Junhua Zhao, Qilin Wan. “Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting”. Applied Intelligence (2024):1-16. (corresponding author)
[2] Shengchao Chen (supervisor), Ting Shu*, Huan Zhao, Jiahao Wang, Sufen Ren, Lina Yang. “Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework”. Knowledge-Based Systems 294 (2024): 111694. (corresponding author)
[3] Ting Shu, Xiyuan Zhou, Yuanfu Xie, Huan Zhao, Xunlai Chen, Rui Wang. “Deep Learning Based Cloud Microphysics Parameterization Scheme for Numerical Weather Prediction with 1DD-CNN." In 2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD), pp. 47-52. IEEE, 2024.
[4] Shengchao Chen (supervised student), Ting Shu*, Huan Zhao, Guo Zhong, and Xunlai Chen. “TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Autoregression.” IEEE Transactions on Geoscience and Remote Sensing 61 (2023): 5108914. (Communication)
[5] Shengchao Chen (supervising student), Ting Shu*, Huan Zhao, and Yuan Yan Tang. "MASK-CNN-Transformer for real-time multi-label weather recognition." Knowledge-Based Systems 278 (2023): 110881. (Communication)
[6] Tian Zhao (tutor), Ting Shu*, and Huan Zhao. “A Novel Class-Specific Deep Convolutional Feature Selection Method for Image Representation.” In 2023 2nd International Conference on Artificial Intelligence and Blockchain Technology (AIBT), pp. 21-27. IEEE, 2023. (Communication)
[7] Shengchao Chen (supervising student), Ting Shu*, Huan Zhao, Qilin Wan, Jincan Huang, and Cailing Li. "Dynamic Multiscale Fusion Generative Adversarial Network for Radar Image Extrapolation." IEEE Transactions on Geoscience and Remote Sensing 60 (2022): 1-11. (Communication)
[8] Zhong Guo#, Ting Shu#, Guoheng Huang, and Xueming Yan. "Multi-view spectral clustering by simultaneous consensus graph learning and discretization." Knowledge-Based Systems 235 (2022): 107632. (Total 1)
[9] Ting Shu, Bob Zhang, and Yuan Yan Tang. "Sparse supervised representation-based "classifier for uncontrolled and imbalanced classification." IEEE Transactions on Neural Networks and Learning Systems 31, no. 8 (2020): 2847-2856.
[10] Ting Shu, Bob Zhang, and Yuan Yan Tang. "An improved noninvasive method to detect Diabetes Mellitus using the Probabilistic Collaborative Representation based Classifier." Information Sciences 467 (2018): 477-488.
Awards
1. Best Presentation Award at AIBT2023 Conference
2. Best Conference Paper Award at ICMLC&ICWAPR2018 (First Author)
Academic Affiliations
1. Expert Reviewer for the National Natural Science Foundation of China
2. Reviewer for international journals (TNNLS, TGRS, PR, KBS, etc.)
3. Mobile Researcher at the Key Open Laboratory for Tornadoes, China Meteorological Administration
4. Core Member of the Youth Innovation Team, China Meteorological Administration
Students Supervised
Students jointly supervised by projects:
1. 1. Hainan University, Master's student, Chen Shengchao (graduated, currently pursuing a PhD at the University of Technology Sydney, Australia)
2. The Chinese University of Hong Kong, Shenzhen, PhD student, Meng Xiangrui
Long-term partner institutions and universities at home and abroad
Business departments and research institutes (in no particular order):
Guangzhou Tropical Marine Meteorological Institute, China Meteorological Administration
Guangdong Provincial Meteorological Observatory
Shenzhen Meteorological Bureau
Shenzhen Meteorological Innovation Research Institute
Foshan Tornado Research Center
Universities at home and abroad (in no particular order):
University of Technology Sydney, Australia
University of Queensland, Australia
Hong Kong Polytechnic University
University of Macau
Macau University of Science and Technology
City University of Macau
The Chinese University of Hong Kong, Shenzhen
Harbin Institute of Technology, Shenzhen
Sun Yat-sen University
Guangdong University of Technology
Guangdong University of Foreign Studies
Guangdong Ocean University
Xiamen University
Chongqing University
Guangxi University
