Yu Zhang - RankMe

65 papers B 2Misc 6Journal 43Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Physics-Informed Gradient Estimation for Accelerating Deep Learning based AC-OPF. CoRR Kejun Chen, Shourya Bose, Yu Zhang
2025	J	`jnl`	Physics-Informed Gradient Estimation for Accelerating Deep Learning-Based AC-OPF. IEEE Trans. Ind. Informatics Kejun Chen, Shourya Bose, Yu Zhang
2024	J	`jnl`	A Novel Observer-Centric Approach for Detecting Faults in Islanded AC Microgrids With Uncertainties. IEEE Syst. J. Gabriel Intriago, Andres Intriago, Charalambos Konstantinou, Yu Zhang
2024	J	`jnl`	Adaptive Fault Detection for Grid-Forming Inverters. IEEE Access Gabriel Intriago, Yu Zhang
2024	J	`jnl`	Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers. CoRR Shourya Bose, Yu Zhang, Kibaek Kim
2024	J	`jnl`	From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption. CoRR Shourya Bose, Yijiang Li, Amy Van Sant, Yu Zhang, Kibaek Kim
2024	J	`jnl`	Load Restoration in Islanded Microgrids: Formulation and Solution Strategies. IEEE Trans. Control. Netw. Syst. Shourya Bose, Yu Zhang
2024	J	`jnl`	MATNilm: Multi-Appliance-Task Non-Intrusive Load Monitoring With Limited Labeled Data. IEEE Trans. Ind. Informatics Jing Xiong, Tianqi Hong, Dongbo Zhao, Yu Zhang
2024	J	`jnl`	Power System Quasi-Steady State Estimation: An Echo State Network Approach. CoRR Gabriel Intriago, Holger Cevallos-Valdiviezo, Yu Zhang
2024	J	`jnl`	Two-Stage Stochastic Optimal Power Flow for Microgrids With Uncertain Wildfire Effects. IEEE Access Sifat Chowdhury, Yu Zhang
2024	J	`jnl`	Two-Stage Stochastic Optimal Power Flow for Microgrids With Uncertain Wildfire Effects. CoRR Sifat Chowdhury, Yu Zhang
2023	J	`jnl`	A Unifying Framework of Attention-Based Neural Load Forecasting. IEEE Access Jing Xiong, Yu Zhang
2023	J	`jnl`	A Unifying Framework of Attention-based Neural Load Forecasting. CoRR Jing Xiong, Yu Zhang
2023	J	`jnl`	MATNilm: Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled Data. CoRR Jing Xiong, Tianqi Hong, Dongbo Zhao, Yu Zhang
2023	—	`conf`	On LinDistFlow Model Congestion Pricing: Bounding the Changes in Power Tariffs. ISIE Shourya Bose, Kejun Chen, Yu Zhang
2023	J	`jnl`	On LinDistFlow Model Congestion Pricing: Bounding the Changes in Power Tariffs. CoRR Shourya Bose, Kejun Chen, Yu Zhang
2023	J	`jnl`	Physics-Guided Residual Learning for Probabilistic Power Flow Analysis. IEEE Access Kejun Chen, Yu Zhang
2023	J	`jnl`	Physics-guided Residual Learning for Probabilistic Power Flow Analysis. CoRR Kejun Chen, Yu Zhang
2023	J	`jnl`	Privacy-Preserving Load Forecasting via Personalized Model Obfuscation. CoRR Shourya Bose, Yu Zhang, Kibaek Kim
2023	J	`jnl`	Real-Time Power System Event Detection: A Novel Instance Selection Approach. IEEE Access Gabriel Intriago, Yu Zhang
2022	J	`jnl`	Co-optimization of Battery Routing and Load Restoration for Microgrids with Mobile Energy Storage Systems. CoRR Shourya Bose, Sifat Chowdhury, Yu Zhang
2022	—	`conf`	Differentially Private Load Restoration for Microgrids with Distributed Energy Storage. ISGT Shourya Bose, Yu Zhang
2022	J	`jnl`	Differentially Private Load Restoration for Microgrids with Distributed Energy Storage. CoRR Shourya Bose, Yu Zhang
2022	J	`jnl`	Fault Detection Scheme for Grid-Forming Inverters in Islanded Droop-Controlled AC Microgrids. CoRR Gabriel Intriago, Andres Intriago, Raul Intriago, Yu Zhang
2022	B	`conf`	Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality. GLOBECOM Kejun Chen, Shourya Bose, Yu Zhang
2022	J	`jnl`	Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality. CoRR Kejun Chen, Shourya Bose, Yu Zhang
2022	—	`conf`	Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning. ISGT Kejun Chen, Yu Zhang
2022	J	`jnl`	Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning. CoRR Kejun Chen, Yu Zhang
2021	J	`jnl`	Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach. CoRR Jing Xiong, Pengyang Zhou, Alan Chen, Yu Zhang
2021	J	`jnl`	Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features. IEEE Trans. Smart Grid Kunjin Chen, Tomás Vantuch, Yu Zhang, Jun Hu, Jinliang He
2021	J	`jnl`	Load Restoration in Islanded Microgrids: Formulation and Solution Strategies. CoRR Shourya Bose, Yu Zhang
2021	J	`jnl`	Online Dictionary Learning Based Fault and Cyber Attack Detection for Power Systems. CoRR Gabriel Intriago, Yu Zhang
2020	J	`jnl`	Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features. CoRR Kunjin Chen, Tomás Vantuch, Yu Zhang, Jun Hu, Jinliang He
2020	J	`jnl`	Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks. IEEE J. Sel. Areas Commun. Kunjin Chen, Jun Hu, Yu Zhang, Zhanqing Yu, Jinliang He
2020	—	`conf`	Stochastic Optimal Load Shedding with Heterogeneous Load Zones. ISGT Yu Zhang, Scott J. Moura
2019	J	`jnl`	Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring. CoRR Kunjin Chen, Yu Zhang, Qin Wang, Jun Hu, Hang Fan, Jinliang He
2018	J	`jnl`	Conic Relaxations for Power System State Estimation With Line Measurements. IEEE Trans. Control. Netw. Syst. Yu Zhang, Ramtin Madani, Javad Lavaei
2018	J	`jnl`	Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks. CoRR Kunjin Chen, Jun Hu, Yu Zhang, Zhanqing Yu, Jinliang He
2018	—	`conf`	Optimal Rotational Load Shedding Via Bilinear Integer Programming. APSIPA Atif Maqsood, Yu Zhang, Keith A. Corzine
2016	J	`jnl`	Dynamic Energy Management for Smart-Grid-Powered Coordinated Multipoint Systems. IEEE J. Sel. Areas Commun. Xin Wang, Yu Zhang, Tianyi Chen, Georgios B. Giannakis
2016	—	`conf`	Power system state estimation with line measurements. CDC Yu Zhang, Ramtin Madani, Javad Lavaei
2016	J	`jnl`	Robust Workload and Energy Management for Sustainable Data Centers. IEEE J. Sel. Areas Commun. Tianyi Chen, Yu Zhang, Xin Wang, Georgios B. Giannakis
2016	Misc	`conf`	Robust geographical load balancing for sustainable data centers. ICASSP Tianyi Chen, Yu Zhang, Xin Wang, Georgios B. Giannakis
2016	J	`jnl`	Weighted Sum-Rate Maximization for MIMO Downlink Systems Powered by Renewables. IEEE Trans. Wirel. Commun. Shuyan Hu, Yu Zhang, Xin Wang, Georgios B. Giannakis
2015	Misc	`conf`	Big data sketching with model mismatch. ACSSC Sundeep Prabhakar Chepuri, Yu Zhang, Geert Leus, Georgios B. Giannakis
2015	J	`jnl`	Distributed Stochastic Market Clearing with High-Penetration Wind Power. CoRR Yu Zhang, Georgios B. Giannakis
2015	—	`conf`	Distributed robust resource allocation for renewable powered wireless cellular networks. BlackSeaCom Yu Zhang, Xin Wang, Georgios B. Giannakis, Shuyan Hu
2015	B	`conf`	Optimal Dynamic Power Management for Green Coordinated Multipoint Systems. GLOBECOM Xin Wang, Tianyi Chen, Yu Zhang, Georgios B. Giannakis
2015	—	`conf`	Optimal resource allocation for smart-grid powered MIMO broadcast channels. WCSP Shuyan Hu, Xin Wang, Yu Zhang, Georgios B. Giannakis
2015	J	`jnl`	Robust Smart-Grid-Powered Cooperative Multipoint Systems. IEEE Trans. Wirel. Commun. Xin Wang, Yu Zhang, Georgios B. Giannakis, Shuyan Hu
2015	Misc	`conf`	Short-term wind power forecasting using nonnegative sparse coding. CISS Yu Zhang, Seung-Jun Kim, Georgios B. Giannakis
2014	—	`conf`	Distributed market clearing with wind generation and large-scale dispatchable loads. CDC Yu Zhang, Georgios B. Giannakis
2014	J	`jnl`	Electricity Market Forecasting via Low-Rank Multi-Kernel Learning. IEEE J. Sel. Top. Signal Process. Vassilis Kekatos, Yu Zhang, Georgios B. Giannakis
2014	Misc	`conf`	Kernel selection for power market inference via block successive upper bound minimization. ICASSP Vassilis Kekatos, Yu Zhang, Georgios B. Giannakis
2013	—	`conf`	Disaggregated bundle methods for distributed market clearing in power networks. GlobalSIP Yu Zhang, Nikolaos Gatsis, Georgios B. Giannakis
2013	J	`jnl`	Electricity Market Forecasting via Low-Rank Multi-Kernel Learning. CoRR Vassilis Kekatos, Yu Zhang, Georgios B. Giannakis
2013	Misc	`conf`	Low-rank kernel learning for electricity market inference. ACSSC Vassilis Kekatos, Yu Zhang, Georgios B. Giannakis
2013	—	`conf`	Risk-aware management of distributed energy resources. DSP Yu Zhang, Nikolaos Gatsis, Vassilis Kekatos, Georgios B. Giannakis
2013	—	`conf`	Risk-constrained energy management with multiple wind farms. ISGT Yu Zhang, Nikolaos Gatsis, Georgios B. Giannakis
2013	—	`conf`	Robust optimal power flow with wind integration using conditional value-at-risk. SmartGridComm Yu Zhang, Georgios B. Giannakis
2012	J	`jnl`	Distributed Optimal Beamformers for Cognitive Radios Robust to Channel Uncertainties CoRR Yu Zhang, Emiliano Dall'Anese, Georgios B. Giannakis
2012	J	`jnl`	Distributed Optimal Beamformers for Cognitive Radios Robust to Channel Uncertainties. IEEE Trans. Signal Process. Yu Zhang, Emiliano Dall'Anese, Georgios B. Giannakis
2012	Misc	`conf`	Distributed robust beamforming for MIMO cognitive networks. ICASSP Yu Zhang, Emiliano Dall'Anese, Georgios B. Giannakis
2012	J	`jnl`	Robust Management of Distributed Energy Resources for Microgrids with Renewables CoRR Yu Zhang, Nikolaos Gatsis, Georgios B. Giannakis
2012	—	`conf`	Robust distributed energy management for microgrids with renewables. SmartGridComm Yu Zhang, Nikolaos Gatsis, Georgios B. Giannakis