Tianzhixi Yin
Orcid: 0000-0003-0730-4309
According to our database1,
Tianzhixi Yin
authored at least 16 papers
between 2018 and 2024.
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Bibliography
2024
A Novel Method for Setting Meaningful Thresholds for RMS-Energy Oscillation Detectors.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction.
J. Cheminformatics, December, 2023
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations.
CoRR, 2023
Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control.
CoRR, 2023
An Open-Source Library of Phasor Measurement Unit Data Capturing Real Bulk Power Systems Behavior.
IEEE Access, 2023
The Circular Variance as a Visual Summary of Synchronized Voltage Angle Measurements.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
2022
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning.
CoRR, 2022
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning.
CoRR, 2022
2021
Deep Learning for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data.
Remote. Sens., 2021
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery.
CoRR, 2021
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning.
CoRR, 2021
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning.
CoRR, 2021
2020
Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control.
CoRR, 2020
Bridging the Gap between Laboratory and Field Experiments in American Eel Detection Using Transfer Learning and Convolutional Neural Network.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018