JIANG Yuchen (江宇辰)Ph.D. Student
Electrical Engineering, |
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I am a first-year Ph.D. student researching renewable energy power forecasting at Shanghai Jiao Tong University (SJTU), advised by Prof. Ran Li. Before that, I earned my Master's degree and my Bachelor's degree in computer science at Southern University of Science and Technology, where I was honored to work with Prof. James Yu and Prof. Xuan Song.
My research interests include renewable energy power forecasting, which mainly utilize Deep Learning techniques to predict power for renewable energy, like wind and solar resource. Also, weather prediction is involved in my research. Recently, my research has specifically focused on the following directions:
FACT: High-Fidelity and Controllable Trajectory Data Generation
[paper]
(Under review).
TEMPT: Trajectory Mixing Decomposition for GPS Trajectory Prediction
[paper]
(Under review).
Siamese Multiple Attention Temporal Convolution Networks for Human Mobility Signature Identification
[arXiv]
Zhipeng Zheng, Yuchen Jiang, Shiyao Zhang, and Xuetao Wei
IEEE International Conference on Intelligent Transportation Systems, 2024.
FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder
[arXiv]
Yuchen Jiang, Ying Wu, Shiyao Zhang, and James J.Q. Yu
IEEE 98th Vehicular Technology Conference, 2023.
Teaching Assistant