[Science and Technology Innovation 2030—“New Generation Artificial Intelligence” Major Project] I participated in the "Research on crowd intelligence inspired convergence for crowd behavior" project. Mainly responsible for the related research of "the mechanism and methods of graph algorithms".- Research: Participated in the research of "Graph Neural Networks in Heterogeneous Graphs" and published a paper
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy . Accepted by ICDE 2024.- Research: Participated in the research of "Graph Transformer for Learning Behavior in Group Collaboration Environment", and published the paper CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning . Accepted by AAAI Symposium 2023.
[National Natural Science Foundation of China] I participated in the "Research on the Mechanism and Methods of Large-scale Online Collaborative Learning" project. Mainly responsible for the related research of "knowledge tracing for modelling student knowledge over time".- Research: Participated in the research of "Personalized Programming Behavior Analysis Based on deep learning". The undergraduate graduation design paper based on relevant research won the award of "Excellent Graduation design Paper", and published the paper HELP-DKT: An Interpretable Cognitive Model of How Students Learn Programming Based on Deep Knowledge Tracing . Accepted by Scientific Reports (impact factor: 4.379).
- Research: Participated in the research of "Interpretable knowledge tracking model", and published the paper Embedding cognitive framework with self-attention for interpretable knowledge tracing . Accepted by Scientific Reports (impact factor: 4.379).
[National Key R&D Program of China] I participated in the "Intelligent Service Adaptation Theory and Key Technologies" project. Mainly responsible for the related research of "adaptation evolution code quality detection and repair".- China national standard Participated in the preparation and application of the national standard "Information technology- Artificial intelligence- Code of practice for data annotation of machine learning".
- China group standard Participated in the preparation and application of the group standard "Framework for intelligent microservices adaptation".
- China group standard Participated in the preparation and application of the group standard "Intelligent microservices adaptation performance evaluation index system".
- China patent Participated in the preparation and application of the patent "Code quality problem detection and repair method for continuous integration of microservices".
