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Research Projects&Funding

  • General Program of the National Natural Science Foundation of China (NSFC), “Multi-Modal Graph Neural Network Representation Learning Theory and Methods for Multi-Source Heterogeneous Social Big Data”, PI, 600,000 RMB, Jan. 2022-Dec. 2025.


  • Key Program of the Regional Innovation and Development Joint Fund of the National Natural Science Foundation of China (NSFC), “Theories and Methods of Network Big Data Analysis and Mining”, CO-PI,858,000 RMB (1/3 of 2.6 million RMB), Jan. 2022-Dec. 2025.


  • Youth Program of National Natural Science Foundation of China (NSFC), "Research and Applications of Geometric Deep Learning Based Online Educational Resource Recommendation Models", PI, 260,000 RMB, Jan. 2019 – Dec. 2021.


  • Key Research & Development Program of Zhejiang Province, “Research on Key Technologies of Personalized Intelligent Education and Its Product Development and Demonstration Applications”, PI, 2,500,000 RMB, Jan. 2024-Dec. 2026.


  • General Program of the National Natural Science Foundation of Zhejiang Province (NSFZJ), "Theory and Methods for Non-Euclidean Geometric Feature Representation of Social Big Data Based on Graph Neural Networks", PI, 100,000 RMB, Jan. 2022-Dec. 2024.


  • Qianjiang Talent Plan of Zhejiang Province: Class D, "Graph Neural Network for Recommendations", PI, 50,000 RMB, Jan. 2021 – Dec. 2023.


  • Special Funding of China Postdoctoral Science Foundation (CPSF), "Geometric Deep Learning Technologies and Application on Multi-Modal Sentiment Analysis for Online Learners", PI, 150,000 RMB, Jun. 2019 – Dec. 2019.


  • First-Class Funding of China Postdoctoral Science Foundation (CPSF), "Graph-based Machine Learning with Applications in Education", PI, 80,000 RMB, May 2018 – Dec. 2019.


  • ICTP-INdAM "Research in Pairs" Program-2020 (collaborate with Giorgio Stefano Gnecco, Italy),"On the Expressive Power of Neural Nets with Random Weights", Co-PI, Jan. 2021 – Dec. 2021.


  • ICTP-INdAM "Research in Pairs" Program-2024 (collaborate with Giorgio Stefano Gnecco, Marcello Sanguineti, Italy),"Theoretical Studies on the Generalization Capability of Deep Graph Convolutional Networks", Co-PI, Aug. 2024 – Sep. 2024.