Administrative Title:
Professional Title:
Office:
Room 1009, Mingde Main Building
Email:
ybbai@ruc.edu.cn
Education
2014.10-2017.09, Tohoku University, Japan, PhD in Engineering
Work Experience
2019.08 to present , School of Statistics, Renmin University of China
Visiting Scholar Experience
2017.01-2017.05 , Visiting Scholar , School of Computer Engineering, University of California , Irvine
Research Interests
Computer Vision、AI For Social Science
Honors and Awards
1. The 1st Aerospace Nebula Cup.Satellite Application Innovation Design Competition, First Prize, Independent Winner, China Aerospace Science and Industry Corporation, 2021
2. National Undergraduate Statistical Modeling Competition, First Prize / Outstanding Instructor Award, First Prize Winner, Chinese Society of Statistical Education, 2021
3. National Undergraduate Statistical Modeling Competition, Third Prize (Undergraduate Group), Second Instructor, Chinese Society of Statistical Education, 2021
4. Excellent Graduation Thesis Award, Renmin University of China, Second Prize, Instructor, Renmin University of China, 2021
5. Excellent Graduation Thesis Award, Renmin University of China, Second Prize, Instructor, Renmin University of China, 2022
6. Undergraduate Innovation Experiment Program, Beijing Municipal Excellent, Second Instructor, 2024
7. Undergraduate Innovation Experiment Program, National Project, Instructor, 2022
Funding
1. Estimation and Interpretability of Socioeconomic Indicators Based on Self-Supervised Learning of Multimodal Data，National Natural Science Foundation of China, Youth Project (Informatics Department), 62206301, Principal Investigator, January 2023 - December 2025
2. Estimation of China's Township-Scale Economic Development Index Based on Satellite Remote Sensing Data, National Bureau of Statistics, Excellent Project, 2021LY001, Principal Investigator, July 2021 - July 2023
3. The First AI For Social Good Workshop at Renmin University of China, K.C. Wong Education Foundation, December 2020
Publication
1. Bai, Yanbing*, Bolin, Zhang, Ziyue, Zhang, Shubo, Zeng, Zheliu, Xuxin Mao. ” Weakly supervised deep learning for fine-grained socioeconomic development index inference based on satellite imagery.”GeoInformatica (2025): 0551.
2. Bai, Yanbing*, Su, Jinhua, Zou, Yulong, Bruno, Adriano. ”Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters.”GeoInformatica 27.2 (2023): 237-261.
Patents
National Technology Invention Patent - Building Damage Identification Method, Device and Computing Equipment Based on Machine Learning, CN 112396006 B, State Intellectual Property Office, Bai Yanbing, November 2023
Books
Bai Yanbing ( 2021 ), Parallel Computing for Data Science, Beijing: China Renmin University Press, May 2021
Teaching
1. Undergraduate courses: Big Data Parallel Computing, Big Data Actuarial Modeling, Statistics
2. Graduate Course: Big Data Distributed Computing
Professional Service
October 2019- October 2023, Board Member of the Beijing Big Data Association
Invited Talks
1. Lemeng Zhaotong, Jianchao BI, Bai, Yanbing*, Erick Mas, Shunichi Koshimura. Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring. In Proceedings of the International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, UAE, Oct 14–18, 2024.
2. Bai, Yanbing*, Zelan Zhu, Huixue Su, Xiao Liu, Liangzhi Li. Estimating Socioeconomic Proxy Variables Using Multimodal Deep Learning Models. In Proceedings of the 20th International Conference on Intelligent Computing (ICIC 2024), Tianjin, China, Aug 5 8, 2024.