I am now an assistant professor at the Governors State University. My research interests are Machine Learning, Data Mining, Embedded System, and Power System.
I received my Ph.D. degree from University of Nevada, Reno and my major is Computer Science and Engineering. My advisors is Prof. Lei Yang. I received my Bachelor and Master degree from Shenzhen University.
Feb 2023: Our paper 'Towards distributed learning of PMU data: A federated learning based event classification approach' has been accepted by IEEE PES General Meeting 2023.
Jan 2023: Our paper 'Drifting Streaming Peaks-over-Threshold-Enhanced Self-Evolving Neural Networks for Short-Term Wind Farm Generation Forecast' has been published in Future Internet.
Aug 2022: Yunchuan joined the Division of Science Mathematics and Technology at Governors State University as an Assistant Professor.
Jun 2022: Our paper 'Weakly supervised event classification using imperfect real-world PMU data with scarce labels' has been selected as one of the Best Conference Papers by IEEE PES General Meeting 2022.
May 2022: Our paper 'Robust event classification using imperfect real-world PMU data' has been accepted by IEEE Internet of Things Journal.
Feb 2022: Our paper 'Real-time event detection using rank signatures of real-world PMU data' has been accepted by IEEE PES General Meeting 2022.
Apr 2021: Our paper 'Event Cause Analysis in Distribution Networks using Synchro Waveform Measurements' has been accepted by North American Power Symposium (NAPS) 2021.
Feb 2021: Our papers 'PMU-data-driven event classification in power transmission grids and Low-rank tensor completion for PMU data recovery' have been accepted by IEEE PES ISGT NA 2021.
Nov 2020: Our paper 'Seasonal self-evolving neural networks based short-term wind farm generation forecast' has been accepted by IEEE SmartGridComm 2020.
Oct 2020: Our paper 'A Regularized Tensor Completion Approach for PMU Data Recovery' has been accepted by IEEE Transactions on Smart Grid.
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