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ORCIDYue Zhao 0007
Person information
- affiliation: Stony Brook University, Department of Electrical and Computer Engineering, Stony Brook, NY, USA
- affiliation: Princeton University, Department of Electrical Engineering, Princeton, NJ, USA
- affiliation: Stanford University, Department of Electrical Engineering, Stanford, CA, USA
- affiliation (PhD 2011): University of California, Department ofElectrical Engineering, Los Angeles, CA, USA
Other persons with the same name
- Yue Zhao — disambiguation page
- Yue Zhao 0001 — Delft University of Technology, The Netherlands
- Yue Zhao 0002 — INSA de Lyon, France
- Yue Zhao 0003 — Brunel University London, UK
- Yue Zhao 0004
![[0000-0002-5970-5844]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5970-5844")
— Harbin Institute of Technology, School of Astronautics, Harbin, China - Yue Zhao 0005 — Yunnan University, Institute of Mathematics and Statistics, Kunming, China
- Yue Zhao 0006 — Chinese University of Hong Kong, Department of Information Engineering, CUHK-SenseTime Joint Lab, Hong Kong (and 1 more)
- Yue Zhao 0008 — University of Central Florida, Department of Mathematics, Orlando, FL, USA (and 1 more)
- Yue Zhao 0009 — Qufu Normal University, School of Software, Qufu, China
- Yue Zhao 0010 — Xidian University, State Key Laboratory of Integrated Services Networks, Xidian, China
- Yue Zhao 0011 — North Carolina State University, Department of Computer Science, Raleigh, NC, USA (and 1 more)
- Yue Zhao 0012 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, Chongqing, China
- Yue Zhao 0013 — Minzu University of China, School of Information Engineering, Beijing, China
- Yue Zhao 0014 — Shanghai University, School of Computer Engineering and Science, Shanghai, China (and 2 more)
- Yue Zhao 0015 — Southwest Jiaotong University, Provincial Key Lab of Information Coding and Transmission, Chengdu, China
- Yue Zhao 0016 — University of Southern California, CA, USA (and 2 more)
- Yue Zhao 0017 — University of Arkansas, Department of Electrical Engineering, Fayetteville, AR, USA (and 1 more)
- Yue Zhao 0018 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Yue Zhao 0019 — National University of Defense Technology, Science and Technology on Information Systems Engineering Laboratory, Changsha, China
- Yue Zhao 0020 — Beijing Forestry University, School of Technology, Beijing, China (and 1 more)
- Yue Zhao 0021 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, State Key Laboratory of Scientific and Engineering Computing, Beijing, China
- Yue Zhao 0022 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing, China
- Yue Zhao 0023 — Northwestern Polytechnical University, China
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2020 – today
- 2023
[c37]Mian Jia, Kang Pu, Yue Zhao:
Net Load Forecast based on Behind-the-Meter Disaggregation of Smart Meter Data. CISS 2023: 1-6- [c36]Ce Xu, Bo Liu, Yue Zhao:
Offline Reinforcement Learning for Price-Based Demand Response Program Design. CISS 2023: 1-6 - [c35]Jiaming Li, Yue Zhao, Meng Yue:
Integrating Learning and Physics based Computation for Fast Online Transient Analysis. ISGT 2023: 1-5 - [c34]Kang Pu, Yue Zhao:
An Unsupervised Similarity-based Method for Estimating Behind-the-Meter Solar Generation. ISGT 2023: 1-5 - [c33]Kang Pu, Ce Xu, Yue Zhao:
Learning-based Real-time Outage Location Identification in Power Distribution Systems with Sparse Sensors. SmartGridComm 2023: 1-6 - 2022
- [c32]Hossein Khazaei, Yue Zhao:
Physics-Aware Fast Learning and Inference for Predicting Active Set of DC-OPF. ISGT 2022: 1-5 - [c31]Wenyu Wang, Nanpeng Yu, Yue Zhao:
Fast Graphical Learning Method for Parameter Estimation in Large-Scale Distribution Networks. SmartGridComm 2022: 27-33 - [c30]Kang Pu, Yue Zhao:
Behind-the-Meter Disaggregation of Residential Electric Vehicle Charging Load. SmartGridComm 2022: 426-431 - 2021
- [c29]Ziheng Chen, Sichen Zhong, Jianshu Chen, Yue Zhao:
DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery. ACSCC 2021: 1361-1366 - 2020
- [j10]Yue Zhao, Jianshu Chen, H. Vincent Poor:
A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification. IEEE Trans. Smart Grid 11(1): 555-564 (2020) - [c28]Jiaming Li, Meng Yue, Yue Zhao, Guang Lin:
Machine-Learning-Based Online Transient Analysis via Iterative Computation of Generator Dynamics. SmartGridComm 2020: 1-6 - [c27]Ce Xu, Hossein Khazaei, Yue Zhao:
An Incentive Compatible Market Mechanism for Integrating Demand Response into Power Systems. SmartGridComm 2020: 1-6
2010 – 2019
- 2019
- [j9]Joshua Comden, Tan N. Le, Yue Zhao, Bong Jun Choi, Zhenhua Liu:
Geographically Coordinated Primary Frequency Control. IEEE Trans. Control. Netw. Syst. 6(3): 1246-1255 (2019) - [j8]Jose Cordova-Garcia, Xin Wang, Dongliang Xie, Yue Zhao, Lei Zuo:
Control of Communications-Dependent Cascading Failures in Power Grids. IEEE Trans. Smart Grid 10(5): 5021-5031 (2019) - [c26]Sichen Zhong, Yue Zhao, Jianshu Chen:
Learning to Recover Sparse Signals. Allerton 2019: 995-1000 - [c25]Jiaming Li, Yue Zhao, Young-Hwan Lee, Seung-Jun Kim:
Learning to Infer Voltage Stability Margin Using Transfer Learning. DSW 2019: 270-274 - [i9]Hossein Khazaei, X. Andy Sun, Yue Zhao:
On the Equilibria and Efficiency of Electricity Markets with Renewable Power Producers and Congestion Constraints. CoRR abs/1912.00733 (2019) - 2018
- [c24]Yue Zhao:
Solar energy sharing in net metered community microgrids: Can the social goals be achieved? CISS 2018: 1-6 - [c23]Yue Zhao, Jianshu Chen, H. Vincent Poor:
Learning to Infer Power Grid Topologies: Performance and Scalability. DSW 2018: 215-219 - [c22]Hossein Khazaei, Yue Zhao:
A Simple Market Mechanism for Renewable Power Producers Achieves Asymptotic Social Efficiency. GlobalSIP 2018: 956-957 - [i8]Hossein Khazaei, Yue Zhao:
Indirect Mechanism Design for Efficient and Stable Renewable Energy Aggregation. CoRR abs/1810.02930 (2018) - 2017
- [j7]Joshua Comden, Zhenhua Liu, Yue Zhao:
Distributed Algorithm Design for Probabilistic Demand Response. SIGMETRICS Perform. Evaluation Rev. 45(2): 52-54 (2017) - [j6]Yue Zhao, Andrea Goldsmith, H. Vincent Poor:
Minimum Sparsity of Unobservable Power Network Attacks. IEEE Trans. Autom. Control. 62(7): 3354-3368 (2017) - [c21]Young-Hwan Lee, Yue Zhao, Seung-Jun Kim, Jiaming Li:
Predicting voltage stability margin via learning stability region boundary. CAMSAP 2017: 1-5 - [c20]Joshua Comden, Tan N. Le, Yue Zhao, Bong Jun Choi, Zhenhua Liu:
Geographically coordinated frequency control. CDC 2017: 2021-2028 - [c19]Joshua Comden, Zhenhua Liu, Yue Zhao:
Harnessing Flexible and Reliable Demand Response Under Customer Uncertainties. e-Energy 2017: 67-79 - [c18]Hossein Khazaei, Yue Zhao:
A simple payoff allocation mechanism achieves efficiency and stability in renewable energy aggregation. GlobalSIP 2017: 1025-1029 - [c17]Hossein Khazaei, Yue Zhao:
Ex-post stable and fair payoff allocation for renewable energy aggregation. ISGT 2017: 1-5 - [c16]Sichen Zhong, Yue Zhao:
Generic cospark of a matrix can be computed in polynomial time. ISIT 2017: 246-250 - [c15]Joshua Comden, Zhenhua Liu, Yue Zhao:
Incentivizing Reliable Demand Response with Customers' Uncertainties and Capacity Planning. SIGMETRICS (Abstracts) 2017: 25-26 - [i7]Sichen Zhong, Yue Zhao:
Generic Cospark of a Matrix Can Be Computed in Polynomial Time. CoRR abs/1701.08925 (2017) - [i6]Yue Zhao, Jianshu Chen, H. Vincent Poor:
A Learning-to-Infer Method for Real-Time Power Grid Topology Identification. CoRR abs/1710.07818 (2017) - 2016
- [j5]Yue Zhao, Rafi Schwartz, Elad Salomons, Avi Ostfeld, H. Vincent Poor:
New formulation and optimization methods for water sensor placement. Environ. Model. Softw. 76: 128-136 (2016) - [j4]Joshua Comden, Zhenhua Liu, Yue Zhao:
Optimizing the Level of Commitment in Demand Response. SIGMETRICS Perform. Evaluation Rev. 44(2): 52-67 (2016) - [c14]Yue Zhao, Andrea J. Goldsmith, H. Vincent Poor:
A polynomial-time method to find the sparsest unobservable attacks in power networks. ACC 2016: 276-282 - [c13]Yue Zhao, Jianshu Chen, H. Vincent Poor:
Efficient neural network architecture for topology identification in smart grid. GlobalSIP 2016: 811-815 - [c12]Yue Zhao, Jianshu Chen, H. Vincent Poor:
Learning to infer: A new variational inference approach for power grid topology identification. SSP 2016: 1-5 - [i5]Hossein Khazaei, Yue Zhao:
Ex-post Stable and Fair Payoff Allocation for Renewable Energy Aggregation. CoRR abs/1612.09523 (2016) - 2015
- [c11]Milind Rao, Mainak Chowdhury, Yue Zhao, Tara Javidi, Andrea J. Goldsmith:
Value of storage for wind power producers in forward power markets. ACC 2015: 5686-5691 - [i4]Raffi Sevlian, Yue Zhao, Andrea Goldsmith, Ram Rajagopal, H. Vincent Poor:
Outage Detection in Power Distribution Networks. CoRR abs/1503.08244 (2015) - 2014
- [j3]Yue Zhao, Jianshu Chen, Andrea Goldsmith, H. Vincent Poor:
Identification of Outages in Power Systems With Uncertain States and Optimal Sensor Locations. IEEE J. Sel. Top. Signal Process. 8(6): 1140-1153 (2014) - [c10]Jianshu Chen, Yue Zhao, Andrea Goldsmith, H. Vincent Poor:
Line outage detection in power transmission networks via message passing algorithms. ACSSC 2014: 350-354 - [c9]Yue Zhao, Jianshu Chen, Andrea Goldsmith, H. Vincent Poor:
Dynamic joint outage identification and state estimation in power systems. ACSSC 2014: 1138-1142 - 2013
- [j2]Yue Zhao, Gregory J. Pottie:
Optimal Spectrum Management in Multiuser Interference Channels. IEEE Trans. Inf. Theory 59(8): 4961-4976 (2013) - [c8]Yue Zhao, Junjie Qin, Ram Rajagopal, Andrea Goldsmith, H. Vincent Poor:
Risky power forward contracts for wind aggregation. Allerton 2013: 54-61 - [c7]Yue Zhao, Andrea Goldsmith, H. Vincent Poor:
Fundamental limits of cyber-physical security in smart power grids. CDC 2013: 200-205 - [c6]Jianshu Chen, Yue Zhao, Andrea Goldsmith, H. Vincent Poor:
Optimal joint detection and estimation in linear models. CDC 2013: 4416-4421 - 2012
- [j1]Yue Zhao, Chee Wei Tan, Amir Salman Avestimehr, Suhas N. Diggavi, Gregory J. Pottie:
On the Maximum Achievable Sum-Rate With Successive Decoding in Interference Channels. IEEE Trans. Inf. Theory 58(6): 3798-3820 (2012) - [c5]Yue Zhao, Suhas N. Diggavi, Andrea Goldsmith, H. Vincent Poor:
Convex optimization for precoder design in MIMO interference networks. Allerton Conference 2012: 1213-1219 - [i3]Yue Zhao, Andrea Goldsmith, H. Vincent Poor:
On PMU Location Selection for Line Outage Detection in Wide-area Transmission Networks. CoRR abs/1207.6617 (2012) - 2011
- [c4]Yue Zhao, Gregory J. Pottie:
Interference Strength Alignment and Uplink Channel Allocation in Linear Cellular Networks. ICC 2011: 1-5 - [c3]Yue Zhao, Chee Wei Tan, Amir Salman Avestimehr, Suhas N. Diggavi, Gregory J. Pottie:
On the sum-capacity with successive decoding in interference channels. ISIT 2011: 1494-1498 - [i2]Yue Zhao, Gregory J. Pottie:
Optimal Spectrum Management in Multiuser Interference Channels. CoRR abs/1102.3758 (2011) - [i1]Yue Zhao, Chee Wei Tan, Amir Salman Avestimehr, Suhas N. Diggavi, Gregory J. Pottie:
On the Sum-Capacity with Successive Decoding in Interference Channels. CoRR abs/1103.0038 (2011) - 2010
- [c2]Yue Zhao, Gregory J. Pottie:
Optimization of power and channel allocation using the deterministic channel model. ITA 2010: 374-381
2000 – 2009
- 2009
- [c1]Yue Zhao, Gregory J. Pottie:
Optimal spectrum management in multiuser interference channels. ISIT 2009: 2266-2270
Coauthor Index
aka: Andrea Goldsmith
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