2017–:
2013-2017:
Ph.D. Candidate
College of Computer Science and Technology ,
School of Geosciences
China University of Petroleum
B.S.
IoT Engineering,
Chengdu University of Information Technolegy
2022–:
Research Intern
AI EARTH
Alibaba DAMO Academy
• Machine learning algorithms, especially deep learning algorithms
• Cross research of atmospheric science, ocean science and artificial intelligence
• Remote Sensing
• Explainable artificial intelligence(XAI) Uncertainty Quantification(UQ)
• Tropical cyclone and large scale marine environment forecasting
2020 Graduate Innovation Project
Project Leader
No.YCX2020008
• Modeling tropical cyclones using interpretable artificial intelligence
• Designing solutions and experiments
2020 to present
National Key Research and Development Program of China
Main Member
No.2021YFA1000100
• Design and validation of a neural network model based on small samples
2021 to present
National Natural Science Foundation of China (NSFC)
Main Member
No.61873281
• Responsible for the development of artificial intelligence algorithms
• Development of image processing algorithms
2019 to present
National Natural Science Foundation of China (NSFC)
Main Member
No.61873280
• Research on some algorithms for large-scale atlas
• Responsible for the deployment of big data algorithms and cloud computing systems
2019 to present
Natural Science Foundation of Shandong Province
Main Member
No.ZR2019MF012
• Responsible for studying the impact of tropical cyclones on the marine environment
• Experimental design and modeling
2019 to present
Shandong Province Key R&D Program
Main Member
No.2017GGX10147
• Participate in tasks related to target detection
• Data processing, participation in model building
2017 to 2019
Open Subjects in the Marine Laboratory of Applied Physics, Chinese Academy of Sciences
Main Member
No.OOST2021-03
• Responsible for research on forecasting of waves caused by tropical cyclones
• Overall experimental method design
2021 to present
• China Scholarship Council-University of Toronto Joint Scholarship
• China Telecom Scholarship, Communist Youth League Central Committe, China Telecom
• UAI 2022 Scholarship
• First-class scholarship for graduate students, China University of Petroleum
• The 5th China College Students’ ‘Internet Plus’ Innovation Award, Silver Award, Team Leader, Ministry of Education, Central United Front Department, Central Network Office, National Development and Reform Commission, Ministry of Industry and Information Technology, Ministry of Human Resources and Social Sciences, Ministry of Ecology and Environment, Ministry of Agriculture, State Intellectual Property Office, Chinese Academy of Sciences, Chinese Academy of Engineering, Central Committee of the Communist Youth League
• The 16th ‘Challenge Cup’ National College students Extracurricular Science and Technology Works Competition, Third Prize, Team Leader, Communist Youth League Central Committee, China Association for Science and Technology, Ministry of Education , National Association of Students
• The 4th National Graduate Mobile Application Design Innovation Competition, Second Prize, Completion of the second person, Ministry of Education
• 17th China post-graduate mathernatical contest in modeling,Third Prize, Completion of the Third person, Ministry of Education
Leadership:
Excellent service provider - China Foundation for Poverty Alleviation
President of the Federation of Student Associations - Chengdu University of Information Engineering
President of the Student Charity Association - Chengdu University of Information Engineering
Local Chair - The 15th International Conference on Bio-inspired Computing: Theories and Applications, Qingdao, China, 2020
Session Co-Chair - International Geoscience and Remote Sensing Symposium 2021,Brussels, Belgium, 2021
others:
SCI Reviewer - IEEE SPL,IEEE Access, Plos One et al.
Competition :
TOP 10% of the AI competition "Wind-dependent Variables: Predict Wind Speeds of Tropical Storms" hosted by NASA.
TOP 5% of the AI competition "2021 AI Earth Artificial Intelligence Innovation Challenge" hosed by National Climate Center(NCC), and the Nino3.4 index in the next 1-24 months is predicted by using Deep Learning Methods.