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Yajing Liu
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Cited by
Year
Matrix Completion for Low-Observability Voltage Estimation
PL Donti, Y Liu, AJ Schmitt, A Bernstein, R Yang, Y Zhang
IEEE Transactions on Smart Grid 11 (3), 2520-2530, 2020
792020
Decentralized low-rank state estimation for power distribution systems
A Sagan, Y Liu, A Bernstein
IEEE Transactions on Smart Grid 12 (4), 3097-3106, 2021
242021
Improved bounds for the greedy strategy in optimization problems with curvature
Y Liu, EKP Chong, A Pezeshki
Journal of Combinatorial Optimization 37 (4), 1126-1149, 2019
152019
Matrix completion using alternating minimization for distribution system state estimation
Y Liu, A Sagan, A Bernstein, R Yang, X Zhou, Y Zhang
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
142020
Submodular Optimization Problems and Greedy Strategies: A Survey
Y Liu, EKP Chong, A Pezeshki, Z Zhang
Discrete Event Dynamic System (DEDS) 30 (3), 381-412, 2020
132020
Performance bounds for the k-batch greedy strategy in optimization problems with curvature
Y Liu, Z Zhang, EKP Chong, A Pezeshki
2016 American Control Conference (ACC), 7177-7182, 2016
132016
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition
AS Zamzam, Y Liu, A Bernstein
IEEE Control System Letters 5 (2), 605-610, 2021
112021
Bounding the greedy strategy in finite-horizon string optimization
Y Liu, EKP Chong, A Pezeshki
2015 54th IEEE Conference on Decision and Control (CDC), 3900-3905, 2015
112015
Why math matters: Demonstrating the relevance of mathematics in ECE education
Y Liu, A Pezeshki, S Roy, BM Notaros, T Chen, AA Maciejewski
2017 ASEE Annual Conference & Exposition, 2017
92017
Analyzing the effects of cyberattacks on distribution system state estimation
G Saraswat, R Yang, Y Liu, Y Zhang
2021 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2021
72021
ReLU neural networks, polyhedral decompositions, and persistent homology
Y Liu, CM Cole, C Peterson, M Kirby
Topological, Algebraic and Geometric Learning Workshops 2023, 455-468, 2023
52023
Hamming similarity and graph Laplacians for class partitioning and adversarial image detection
H Jamil, Y Liu, T Caglar, C Cole, N Blanchard, C Peterson, M Kirby
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
52023
Multi-Area Distribution System State Estimation via Distributed Tensor Completion
Y Liu, AS Zamzam, A Bernstein
IEEE Transactions on Smart Grid 13 (6), 4887 - 4898, 2022
52022
Performance bounds with curvature for batched greedy optimization
Y Liu, Z Zhang, EKP Chong, A Pezeshki
Journal of Optimization Theory and Applications 177, 535-562, 2018
52018
Bounds for approximate dynamic programming based on string optimization and curvature
Y Liu, EKP Chong, A Pezeshki, B Moran
53rd IEEE Conference on Decision and Control, 6653-6658, 2014
52014
A General Framework for Bounding Approximate Dynamic Programming Schemes
Y Liu, EKP Chong, A Pezeshki, Z Zhang
IEEE Control Systems Letters 5 (2), 463-468, 2021
42021
Dual graphs of polyhedral decompositions for the detection of adversarial attacks
H Jamil, Y Liu, C Cole, N Blanchard, EJ King, M Kirby, C Peterson
2022 IEEE International Conference on Big Data (Big Data), 2913-2921, 2022
22022
Performance bounds for Nash equilibria in submodular utility systems with user groups
Y Liu, EKP Chong, A Pezeshki
Journal of Control and Decision 5 (1), 1-18, 2018
22018
Extending Polymatroid Set Functions With Curvature and Bounding the Greedy Strategy
Y Liu, EKP Chong, A Pezeshki
2018 IEEE Statistical Signal Processing Workshop (SSP), 318-322, 2018
22018
Grid Optimization with Solar (GO-Solar)
R Yang, Y Zhang, B Palmintier, X Zhu, Y Liu, A Bernstein, J Simpson, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2022
12022
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