Tianzhixi Yin - RankMe

21 papers C 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Open-Access Repository of Synchrophasor Data Quality Examples: Curation and Example Applications. IEEE Access Shuchismita Biswas, Tianzhixi Yin, Syed Ahsan Raza Naqvi, Jim Follum, Antos Cheeramban Varghese, Tawsif Ahmad, Pavel V. Etingov
2025	J	`jnl`	Resilient Control of Networked Microgrids Using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations. IEEE Trans. Smart Grid Sayak Mukherjee, Ramij Raja Hossain, Sheik M. Mohiuddin, Yuan Liu, Wei Du, Veronica Adetola, Rohit A Jinsiwale, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal
2024	—	`conf`	A Novel Method for Setting Meaningful Thresholds for RMS-Energy Oscillation Detectors. HICSS Jim Follum, Shuchismita Biswas, Pavel V. Etingov, Tianzhixi Yin
2024	J	`jnl`	Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches. CoRR Tianzhixi Yin, Syed Ahsan Raza Naqvi, Sai Pushpak Nandanoori, Soumya Kundu
2024	J	`jnl`	Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning. Mach. Learn. Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang
2024	J	`jnl`	Model editing for distribution shifts in uranium oxide morphological analysis. CoRR Davis Brown, Cody Nizinski, Madelyn Shapiro, Corey Fallon, Tianzhixi Yin, Henry Kvinge, Jonathan H. Tu
2023	J	`jnl`	An Open-Source Library of Phasor Measurement Unit Data Capturing Real Bulk Power Systems Behavior. IEEE Access Shuchismita Biswas, Jim Follum, Pavel V. Etingov, Xiaoyuan Fan, Tianzhixi Yin
2023	J	`jnl`	Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction. J. Cheminformatics Tianzhixi Yin, Gihan Panapitiya, Elizabeth D. Coda, Emily Saldanha
2023	J	`jnl`	Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations. CoRR Sayak Mukherjee, Ramij Raja Hossain, Sheik M. Mohiuddin, Yuan Liu, Wei Du, Veronica Adetola, Rohit A Jinsiwale, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal
2023	—	`conf`	The Circular Variance as a Visual Summary of Synchronized Voltage Angle Measurements. HICSS Jim Follum, Sinan G. Aksoy, Sraddhanjoli Bhadra, John Buckheit, Nick Betzsold, Tianzhixi Yin, Tamara Becejac
2023	J	`jnl`	Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control. CoRR Qiuhua Huang, Renke Huang, Tianzhixi Yin, Sohom Datta, Xueqing Sun, Z. Jason Hou, Jie Tan, Wenhao Yu, Yuan Liu, Xinya Li, Bruce Palmer, Ang Li, Xinda Ke, Marianna Vaiman, Song Wang, Yousu Chen
2022	J	`jnl`	Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning. CoRR Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang
2022	J	`jnl`	Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning. CoRR Sayak Mukherjee, Ramij Raja Hossain, Yuan Liu, Wei Du, Veronica Adetola, Sheik M. Mohiuddin, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal
2021	J	`jnl`	Deep Learning for Automated Detection and Identification of Migrating American Eel Anguilla rostrata from Imaging Sonar Data. Remote. Sens. Xiaoqin Zang, Tianzhixi Yin, Zhangshuan Hou, Robert P. Mueller, Zhiqun Daniel Deng, Paul T. Jacobson
2021	J	`jnl`	Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning. CoRR Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du
2021	J	`jnl`	Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery. CoRR Yan Du, Qiuhua Huang, Renke Huang, Tianzhixi Yin, Jie Tan, Wenhao Yu, Xinya Li
2021	J	`jnl`	Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. CoRR Sayak Mukherjee, Renke Huang, Qiuhua Huang, Thanh Long Vu, Tianzhixi Yin
2020	J	`jnl`	Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control. CoRR Renke Huang, Yujiao Chen, Tianzhixi Yin, Xinya Li, Ang Li, Jie Tan, Qiuhua Huang
2020	—	`conf`	Bridging the Gap between Laboratory and Field Experiments in American Eel Detection Using Transfer Learning and Convolutional Neural Network. HICSS Tianzhixi Yin, Xiaoqin Zang, Zhangshuan Hou, Paul T. Jacobson, Robert T. Mueller, Zhiqun Daniel Deng
2019	—	`conf`	Big Data Analytic for Cascading Failure Analysis. IEEE BigData Yousu Chen, Tianzhixi Yin, Renke Huang, Xiaoyuan Fan, Qiuhua Huang
2018	C	`conf`	Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems. ICMLA Yixuan Sun, Xiaoyuan Fan, Qiuhua Huang, Xinya Li, Renke Huang, Tianzhixi Yin, Guang Lin