Wei Shi

Orcid: 0000-0002-9511-3838

Affiliations:
  • Arizona State University, School of Electrical, Computer and Energy Engineering, Phoenix, AZ, USA
  • Princeton University, Electrical and Computer Engineering Department, Princeton, NJ, USA
  • University of Boston, Department of Electrical & Computer Engineering, Boston, MA, USA (2016 - 2017)
  • University of Illinois at Urbana Champaign, Coordinated Science Laboratory, Urbana, IL, USA (2015 - 2016)
  • University of Science and Technology of China, Department of Automation, Hefei, China (PhD 2015)


According to our database1, Wei Shi authored at least 36 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking.
IEEE Trans. Autom. Control., 2021

Push-Pull Gradient Methods for Distributed Optimization in Networks.
IEEE Trans. Autom. Control., 2021

2020
Accelerating incremental gradient optimization with curvature information.
Comput. Optim. Appl., 2020

2019
A Decentralized Proximal-Gradient Method With Network Independent Step-Sizes and Separated Convergence Rates.
IEEE Trans. Signal Process., 2019

Hybrid Voltage Control in Distribution Networks Under Limited Communication Rates.
IEEE Trans. Smart Grid, 2019

Distributed Nash equilibrium seeking under partial-decision information via the alternating direction method of multipliers.
Autom., 2019

2018
Distributed Voltage Control in Distribution Networks: Online and Robust Implementations.
IEEE Trans. Smart Grid, 2018

Dynamic Power Distribution System Management With a Locally Connected Communication Network.
IEEE J. Sel. Top. Signal Process., 2018

Federated learning of predictive models from federated Electronic Health Records.
Int. J. Medical Informatics, 2018

Accelerated Gradient Play Algorithm for Distributed Nash Equilibrium Seeking.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Push-Pull Gradient Method for Distributed Optimization in Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Improved Convergence Rates for Distributed Resource Allocation.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Decentralized Dynamic Optimization for Power Network Voltage Control.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs.
SIAM J. Optim., 2017

Geometrically convergent distributed optimization with uncoordinated step-sizes.
Proceedings of the 2017 American Control Conference, 2017

Curvature-aided incremental aggregated gradient method.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers.
IEEE Trans. Signal Process., 2016

Weighted ADMM for Fast Decentralized Network Optimization.
IEEE Trans. Signal Process., 2016

A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Dynamic decentralized voltage control for power distribution networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Communication-efficient weighted ADMM for decentralized network optimization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Decentralized constrained consensus optimization with primal dual splitting projection.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Linearly convergent decentralized consensus optimization over directed networks.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A geometrically convergent method for distributed optimization over time-varying graphs.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A decentralized Second-Order Method for Dynamic Optimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

ESOM: Exact second-order method for consensus optimization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Expander graph and communication-efficient decentralized optimization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
A Proximal Gradient Algorithm for Decentralized Composite Optimization.
IEEE Trans. Signal Process., 2015

DLM: Decentralized Linearized Alternating Direction Method of Multipliers.
IEEE Trans. Signal Process., 2015

EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization.
SIAM J. Optim., 2015

A proximal gradient algorithm for decentralized nondifferentiable optimization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Decentralized quadratically approximated alternating direction method of multipliers.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
On the Linear Convergence of the ADMM in Decentralized Consensus Optimization.
IEEE Trans. Signal Process., 2014

2013
Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Sparse FIR estimation of low-order systems.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012


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