Ye Pu

Cette personne n’est plus à l’EPFL

Publications associées (50)

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Quantization Design for Distributed Optimization

Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger

We consider the problem of solving a distributed optimization problem using a distributed computing platform, where the communication in the network is limited: each node can only communicate with its neighbors and the channel has a limited data-rate. A co ...

2017

Hollow Mesoporous Plasmonic Nanoshells for Enhanced Solar Vapor Generation

Demetri Psaltis, Thomas La Grange, Ye Pu, Jeffrey Alan Hubbell, Jae-Woo Choi, Ye Pu, Miguel Antonio Modestino, Seyyed Mohammad Hosseini Hashemi, Marcin Stefan Zielinski

In the past decade, nanomaterials have made their way into a variety of technologies in solar energy, enhancing the performance by taking advantage of the phenomena inherent to the nanoscale. Recent examples exploit plasmonic core/shell nanoparticles to ac ...

American Chemical Society2016

Second-harmonic radiating imaging probes and harmonic holography

Demetri Psaltis, Ye Pu, Ye Pu

Compared with other imaging probes such as fluorescent dyes and quantum dots, second-harmonic radiating imaging probes (SHRIMPs) provide a unique ultrafast, coherent optical contrast that is free of photobleaching and emission intermittency. Using the seco ...

Spie-Int Soc Optical Engineering2016

Two-dimensional polymeric structures and method for producing thereof

Demetri Psaltis, Ye Pu, Jeffrey Alan Hubbell, Ye Pu, Marcin Stefan Zielinski

The present invention relates to polymeric structures, in the form of flat membrane-like surfaces or micro- nanostructures such as capsules, characterized in that it comprises a substantially two-dimensional layer of covalently-bonded monomers of R-substit ...

2016

Operator Splitting Methods in Control

Colin Neil Jones, Ye Pu, Georgios Stathopoulos, Harsh Ambarishkumar Shukla

2016

Splitting Methods for Distributed Optimization and Control

Ye Pu

This thesis contributes towards the design and analysis of fast and distributed optimization algorithms based on splitting techniques, such as proximal gradient methods or alternation minimization algorithms, with the application of solving model predictiv ...

EPFL2016

Design of a Distributed Quantized Luenberger Filter for Bounded Noise

Colin Neil Jones, Ye Pu, Andrea Alessandretti, Francisco Fernandes Castro Rego

This paper addresses the problem of distributed state estimation for linear systems with process and measurement noise, in the case of limited communication data rate, where the data exchanged between agents is quantized. We propose a linear distributed Lu ...

Ieee2016

Quantization Design for Unconstrained Distributed Optimization

Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger

We consider an unconstrained distributed optimization problem and assume that the bit rate of the communication in the network is limited. We propose a distributed optimization algorithm with an iteratively refining quantization design, which bounds the qu ...

2015

Quantization design for distributed optimization with time-varying parameters

Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger

2015

A consensus algorithm for networks with process noise and quantization error

Colin Neil Jones, Ye Pu, Andrea Alessandretti, Francisco Fernandes Castro Rego

In this paper we address the problem of quantized consensus where process noise or external inputs corrupt the state of each agent at each iteration. We propose a quantized consensus algorithm with progressive quantization, where the quantization interval ...

IEEE2015

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