Tianzhixi Yin

发表

Machine learning for automated detection of migrating adult eels from ARIS sonar images

Zhangshuan Hou, Robert P. Mueller, Paul T. Jacobson, 2019, Journal of the Acoustical Society of America.

A New Spectral Estimator for Identifying Dominant Modes and Detecting Events in Power Systems

Brett Amidan, Tianzhixi Yin, Jim Follum, 2018, 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).

Initial investigation of data mining applications in event classification and location identification using simulated data from MinniWECC

Daniel J. Trudnowski, Dongliang Duan, Shaun S. Wulff, 2016, 2016 North American Power Symposium (NAPS).

Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning

Ramij Raja Hossain, V. Adetola, S. Mohiuddin, 2022, ArXiv.

Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning

Jie Tan, Wenhao Yu, Renke Huang, 2021, IEEE Transactions on Power Systems.

Synthetic High Impedance Fault Data through Deep Convolutional Generated Adversarial Network

Wei Gao, Jianming Lian, Rui Fan, 2021, Green Technologies Conference.

Deep Learning for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data

Robert P. Mueller, Paul T. Jacobson, Tianzhixi Yin, 2021, Remote. Sens..

Bridging the Gap between Laboratory and Field Experiments in American Eel Detection Using Transfer Learning and Convolutional Neural Network

Zhiqun Deng, Robert P. Mueller, Paul T. Jacobson, 2020, HICSS.

Physics-Informed Evolutionary Strategy Based Control for Mitigating Delayed Voltage Recovery

Renke Huang, Wenhao Yu, Qiuhua Huang, 2021, IEEE Transactions on Power Systems.

Accelerated Derivative-Free Deep Reinforcement Learning for Large-Scale Grid Emergency Voltage Control

Renke Huang, Wenhao Yu, Qiuhua Huang, 2021, IEEE Transactions on Power Systems.

Transmission Line Fault Location Using Deep Learning Techniques

Renke Huang, Rui Fan, Shaobu Wang, 2019, 2019 North American Power Symposium (NAPS).

Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems

Renke Huang, Xiaoyuan Fan, Guang Lin, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control

Xinda Ke, Tianzhixi Yin, Sohom Datta, 2023, ArXiv.

Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning

Ramij Raja Hossain, Jie Tan, Wenhao Yu, 2022, ArXiv.

Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control

Jie Tan, Renke Huang, Qiuhua Huang, 2020, ArXiv.