About Me

I am currently in my third year of pursuing a Ph.D. at South China University of Technology, under the mentorship of Professor Qianli Ma. My research is centered around deep learning, specifically focusing on time series classification, time series pre-training, semi-supervised learning, label noise learning, and incomplete data analysis.

Recent News

• 12/2023: One paper titled “Diffusion Language-Shapelets for Semi-supervised Time-Series Classification” was accepted by AAAI 2024.
• 09/2023：One paper titled “Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels” was accepted by NeurIPS 2023.
• 04/2023：One paper titled “CTW: Confident Time-Warping for Time-Series Label-Noise Learning” was accepted by IJCAI 2023.
• 03/2023：One paper titled “Category-aware optimal transport for incomplete data classification” was accepted by Information Sciences 2023.
• 12/2022：One paper titled “Temporal-frequency co-training for time series semi-supervised learning” was accepted by AAAI 2023.
• 09/2019：One paper titled “Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion” was accepted by Simulation Modelling Practice and Theory 2020.