CV

Education

• D.Eng in Electronics and Information, Sichuan University, 2023
• M.S. in Mechanical Engineering, South West University of Science and Technology, 2019
• B.S. in Mechanical Design and Manufacture and Automation, South West University of Science and Technology, 2016

Work experience

• 2023-present: Lecturer
  • Chengdu University of Information Technology

Research interest

• Machine learning
• Deep learning
  • Neural network theory and application
• Imbalanced data learning

Publications

Coupling importance sampling neural network for imbalanced data classification with multi-level learning bias

MFPIDet: improved YOLOV7 architecture based on multi-scale feature fusion for prohibited item detection in complex environment

Neural networks learn specified information for imbalanced data classification

Neural network with absent minority class samples and boundary shifting for imbalanced data classification

Neural network with a preference sampling paradigm for imbalanced data classification

A neural network learning algorithm for highly imbalanced data classification

U-Sleep: A Deep Neural Network for Automated Detection of Sleep Arousals Using Multiple PSGs

Teaching

Advanced Engineering Mathematics

Engineering Practice 2C: Neural Network Design and Application

Service

• Reviewer for IEEE Transactions on Neural Networks and Learning Systems, 2025.
• Reviewer for Biomedical Signal Processing and Control, 2024.
• Reviewer for Neural Computing and Applications, 2024.