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ORCIDWei Shi 0010
Person information
- affiliation: Arizona State University, School of Electrical, Computer and Energy Engineering, Phoenix, AZ, USA
- affiliation: Princeton University, Electrical and Computer Engineering Department, Princeton, NJ, USA
- affiliation (2016 - 2017): University of Boston, Department of Electrical & Computer Engineering, Boston, MA, USA
- affiliation (2015 - 2016): University of Illinois at Urbana Champaign, Coordinated Science Laboratory, Urbana, IL, USA
- affiliation (PhD 2015): University of Science and Technology of China, Department of Automation, Hefei, China
Other persons with the same name
- Wei Shi — disambiguation page
- Wei Shi 0001
![[0000-0002-3071-8350]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3071-8350")
— Carleton University, School of Infermation Technology, Faculty of Engineering and Design, Ottawa, ON, Canada (and 3 more) - Wei Shi 0002 — National Oceanic and Atmospheric Administration, College Park, MD, USA (and 1 more)
- Wei Shi 0003 — Chinese University of Hong Kong, Hong Kong
- Wei Shi 0004 — Central South University, School of Aeronautics and Astronautics, Changsha, China
- Wei Shi 0005 — Bundeswehr University Munich, Germany
- Wei Shi 0006 — Qingdao University of Science and Technology, School of Information Science and Technology, China (and 1 more)
- Wei Shi 0007 — Université Laval, Centre for Optics, Photonics and Lasers, Québec, Canada (and 1 more)
- Wei Shi 0008 — Kyushu University, ICER, Innovation Center for Educational Resources, Japan
- Wei Shi 0009 — Peking University, Shenzhen Graduate School, Key Laboratory of Machine Perception, Beijing, China
- Wei Shi 0011 — University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, TX, USA (and 1 more)
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2020 – today
- 2021
[j18]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
Push-Pull Gradient Methods for Distributed Optimization in Networks. IEEE Trans. Autom. Control. 66(1): 1-16 (2021)- [j17]Tatiana Tatarenko, Wei Shi, Angelia Nedic:
Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking. IEEE Trans. Autom. Control. 66(11): 5342-5353 (2021) - 2020
- [j16]Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione:
Accelerating incremental gradient optimization with curvature information. Comput. Optim. Appl. 76(2): 347-380 (2020)
2010 – 2019
- 2019
- [j15]Farzad Salehisadaghiani, Wei Shi, Lacra Pavel:
Distributed Nash equilibrium seeking under partial-decision information via the alternating direction method of multipliers. Autom. 103: 27-35 (2019) - [j14]Hao Jan Liu, Wei Shi, Hao Zhu:
Hybrid Voltage Control in Distribution Networks Under Limited Communication Rates. IEEE Trans. Smart Grid 10(3): 2416-2427 (2019) - [j13]Zhi Li, Wei Shi, Ming Yan:
A Decentralized Proximal-Gradient Method With Network Independent Step-Sizes and Separated Convergence Rates. IEEE Trans. Signal Process. 67(17): 4494-4506 (2019) - 2018
- [j12]Theodora S. Brisimi, Ruidi Chen, Theofanie Mela, Alex Olshevsky, Ioannis Ch. Paschalidis, Wei Shi:
Federated learning of predictive models from federated Electronic Health Records. Int. J. Medical Informatics 112: 59-67 (2018) - [j11]Kaiqing Zhang, Wei Shi, Hao Zhu, Emiliano Dall'Anese, Tamer Basar:
Dynamic Power Distribution System Management With a Locally Connected Communication Network. IEEE J. Sel. Top. Signal Process. 12(4): 673-687 (2018) - [j10]Hao Jan Liu, Wei Shi, Hao Zhu:
Distributed Voltage Control in Distribution Networks: Online and Robust Implementations. IEEE Trans. Smart Grid 9(6): 6106-6117 (2018) - [c18]Kaiqing Zhang, Wei Shi, Hao Zhu, Tamer Basar:
Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network. ACC 2018: 3092-3097 - [c17]Angelia Nedic, Alex Olshevsky, Wei Shi:
Improved Convergence Rates for Distributed Resource Allocation. CDC 2018: 172-177 - [c16]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
A Push-Pull Gradient Method for Distributed Optimization in Networks. CDC 2018: 3385-3390 - [c15]Tatiana Tatarenko, Wei Shi, Angelia Nedic:
Accelerated Gradient Play Algorithm for Distributed Nash Equilibrium Seeking. CDC 2018: 3561-3566 - [i10]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedich:
A Push-Pull Gradient Method for Distributed Optimization in Networks. CoRR abs/1803.07588 (2018) - [i9]Kaiqing Zhang, Wei Shi, Hao Zhu, Tamer Basar:
Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network. CoRR abs/1803.10792 (2018) - [i8]Kaiqing Zhang, Wei Shi, Hao Zhu, Emiliano Dall'Anese, Tamer Basar:
Dynamic Power Distribution System Management With a Locally Connected Communication Network. CoRR abs/1803.10804 (2018) - [i7]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
Push-Pull Gradient Methods for Distributed Optimization in Networks. CoRR abs/1810.06653 (2018) - 2017
- [j9]Angelia Nedic, Alex Olshevsky, Wei Shi:
Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs. SIAM J. Optim. 27(4): 2597-2633 (2017) - [j8]Hao Jan Liu, Wei Shi, Hao Zhu:
Decentralized Dynamic Optimization for Power Network Voltage Control. IEEE Trans. Signal Inf. Process. over Networks 3(3): 568-579 (2017) - [c14]Hoi-To Wai, Wei Shi, Angelia Nedic, Anna Scaglione:
Curvature-aided incremental aggregated gradient method. Allerton 2017: 526-532 - [c13]Angelia Nedic, Alex Olshevsky, Wei Shi, Cesar A. Uribe:
Geometrically convergent distributed optimization with uncoordinated step-sizes. ACC 2017: 3950-3955 - [i6]Angelia Nedic, Alex Olshevsky, Wei Shi:
Improved Convergence Rates for Distributed Resource Allocation. CoRR abs/1706.05441 (2017) - [i5]Hoi-To Wai, Wei Shi, Angelia Nedic, Anna Scaglione:
Curvature-aided Incremental Aggregated Gradient Method. CoRR abs/1710.08936 (2017) - 2016
- [j7]Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro:
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 2(4): 507-522 (2016) - [j6]Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro:
DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. 64(19): 5158-5173 (2016) - [j5]Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian:
Weighted ADMM for Fast Decentralized Network Optimization. IEEE Trans. Signal Process. 64(22): 5930-5942 (2016) - [c12]Aryan Mokhtari, Wei Shi, Qing Ling:
ESOM: Exact second-order method for consensus optimization. ACSSC 2016: 783-787 - [c11]Yat Tin Chow, Wei Shi, Tianyu Wu, Wotao Yin:
Expander graph and communication-efficient decentralized optimization. ACSSC 2016: 1715-1720 - [c10]Angelia Nedich, Alex Olshevsky, Wei Shi:
A geometrically convergent method for distributed optimization over time-varying graphs. CDC 2016: 1023-1029 - [c9]Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro:
A decentralized Second-Order Method for Dynamic Optimization. CDC 2016: 6036-6043 - [c8]Angelia Nedic, Alex Olshevsky, Wei Shi:
Linearly convergent decentralized consensus optimization over directed networks. GlobalSIP 2016: 485-489 - [c7]Han Zhang, Wei Shi, Aryan Mokhtari, Alejandro Ribeiro, Qing Ling:
Decentralized constrained consensus optimization with primal dual splitting projection. GlobalSIP 2016: 565-569 - [c6]Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian:
Communication-efficient weighted ADMM for decentralized network optimization. ICASSP 2016: 4821-4825 - [c5]Hao Jan Liu, Wei Shi, Hao Zhu:
Dynamic decentralized voltage control for power distribution networks. SSP 2016: 1-5 - [i4]Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro:
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization. CoRR abs/1602.00596 (2016) - [i3]Hao Jan Liu, Wei Shi, Hao Zhu:
Decentralized Dynamic Optimization for Power Network Voltage Control. CoRR abs/1607.06890 (2016) - [i2]Angelia Nedic, Alex Olshevsky, Wei Shi, Cesar A. Uribe:
Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes. CoRR abs/1609.05877 (2016) - [i1]Yat Tin Chow, Wei Shi, Tianyu Wu, Wotao Yin:
Expander Graph and Communication-Efficient Decentralized Optimization. CoRR abs/1612.00903 (2016) - 2015
- [j4]Wei Shi, Qing Ling, Gang Wu, Wotao Yin:
EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization. SIAM J. Optim. 25(2): 944-966 (2015) - [j3]Qing Ling, Wei Shi, Gang Wu, Alejandro Ribeiro:
DLM: Decentralized Linearized Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. 63(15): 4051-4064 (2015) - [j2]Wei Shi, Qing Ling, Gang Wu, Wotao Yin:
A Proximal Gradient Algorithm for Decentralized Composite Optimization. IEEE Trans. Signal Process. 63(22): 6013-6023 (2015) - [c4]Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro:
Decentralized quadratically approximated alternating direction method of multipliers. GlobalSIP 2015: 795-799 - [c3]Wei Shi, Qing Ling, Gang Wu, Wotao Yin:
A proximal gradient algorithm for decentralized nondifferentiable optimization. ICASSP 2015: 2964-2968 - 2014
- [j1]Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin:
On the Linear Convergence of the ADMM in Decentralized Consensus Optimization. IEEE Trans. Signal Process. 62(7): 1750-1761 (2014) - 2013
- [c2]Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin:
Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers. ICASSP 2013: 4613-4617 - 2012
- [c1]Qing Ling, Wei Shi, Gang Wu, Zhi Tian:
Sparse FIR estimation of low-order systems. SSP 2012: 321-324
Coauthor Index
aka: Angelia Nedich
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