<commit_before>---
permalink: /publications/
layout: archive
title: "Publications"
author_profile: true
---

**Thesis**
------
High-dimensional Data Analysis by Exploiting Low-dimensional Models with Applications in Synchrophasor Data Analysis in Power Systems.

Thesis Committee: [<NAME>](https://ecse.rpi.edu/~wang/), [<NAME>](https://www.ecse.rpi.edu/~chowj/), [<NAME>](https://www.ecse.rpi.edu/~yazici/), and [<NAME>](http://homepages.rpi.edu/~mitchj/).

**Technical Reports**
------
<NAME>, **<NAME>**, <NAME>, and <NAME>. "Introducing Texar-PyTorch: An ML Library Integrating the Best of TensorFlow into PyTorch." [[Blog](https://medium.com/@Petuum/introducing-texar-pytorch-an-ml-library-integrating-the-best-of-tensorflow-into-pytorch-ea6e5f8e65a3)] [[Blog (in Chinese)](https://www.jiqizhixin.com/articles/2019-10-30-12)], 2019.

**Journal Publications**
------
**<NAME>**, <NAME>, and <NAME>. "Robust Matrix Completion by Exploiting Dynamic Low-dimensional Structures." submitted to IEEE Trans. Signal Processing, 2018.

**<NAME>**, <NAME>, <NAME>, and <NAME>. "Low-rank Matrix Recovery from Noisy, Quantized and Erroneous Measurements." IEEE Trans. Signal Processing, 2018, 66 (11): 2918-2932. (The first two authors contributed equally to this paper)

**<NAME>**, <NAME>, <NAME>, <NAME>, and <NAME>. "Missing Data Recovery for High-dimensional Signals with Nonlinear Low-dimensional Structures." IEEE Trans. Signal Processing, 2017, 65 (20): 5421-5436.

**<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, and <NAME>. "Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition." IEEE Trans. Signal Processing, 2016, 64 (21): 5557-5570.

**<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, and <NAME>. "Missing Data Recovery by Exploiting Low-dimensionality in Power System Synchrophasor Measurements." IEEE Trans. Power Systems, 2016, 31 (2): 1006-1013.


**Conference Publications**
------
<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, **<NAME>**, <NAME>, <NAME>, and <NAME>. "A Low-rank Framework of PMU Data Recovery and Event Identification." Proc. of the First IEEE International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), College Station, Texas, May, 2019. 

<NAME>, <NAME>, **<NAME>**, <NAME>, and <NAME>. "An Evaluation of Low-Rank Matrix Completion Algorithms for Synchrophasor Missing Data Recovery." Proc. of the 20th Power Systems Computation Conference (PSCC), Dublin, Ireland, June, 2018.

**<NAME>**, and <NAME>. "Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements." Proc. of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, April, 2018.

<NAME>, <NAME>, **<NAME>**, <NAME>, <NAME>, and <NAME>. "Recent Results of PMU Data Analytics by Exploiting Low-dimensional Structures." Proc. of the 10th Bulk Power Systems Dynamics and Control Symposium – IREP’2017. Espinho, Portugal, August 2017.

**<NAME>**, <NAME>, and <NAME>. "Quantized Low-rank Matrix Recovery with Erroneous Measurements: Application to Data Privacy in Power Grids." Proc. of Asilomar Conference on Signals, Systems, and Computers 2016. Pacific Grove, CA, Nov. 2016.<commit_msg>Update publications.md<commit_after>---
permalink: /publications/
layout: archive
title: "Publications"
author_profile: true
---

**Thesis**
------
High-dimensional Data Analysis by Exploiting Low-dimensional Models with Applications in Synchrophasor Data Analysis in Power Systems.

Thesis Committee: [<NAME>](https://ecse.rpi.edu/~wang/), [<NAME>](https://www.ecse.rpi.edu/~chowj/), [<NAME>](https://www.ecse.rpi.edu/~yazici/), and [<NAME>](http://homepages.rpi.edu/~mitchj/).

**Technical Reports**
------
<NAME>, **<NAME>**, <NAME>, and <NAME>. "Introducing Texar-PyTorch: An ML Library Integrating the Best of TensorFlow into PyTorch." [[Blog](https://medium.com/@Petuum/introducing-texar-pytorch-an-ml-library-integrating-the-best-of-tensorflow-into-pytorch-ea6e5f8e65a3)] [[Blog (in Chinese)](https://www.jiqizhixin.com/articles/2019-10-30-12)], 2019.

**Journal Publications**
------
**<NAME>**, <NAME>, and <NAME>. "Robust Matrix Completion by Exploiting Dynamic Low-dimensional Structures." submitted to IEEE Trans. Signal Processing, 2020.

**<NAME>**, <NAME>, <NAME>, and <NAME>. "Low-rank Matrix Recovery from Noisy, Quantized and Erroneous Measurements." IEEE Trans. Signal Processing, 2018, 66 (11): 2918-2932. (The first two authors contributed equally to this paper)

**<NAME>**, <NAME>, <NAME>, <NAME>, and <NAME>. "Missing Data Recovery for High-dimensional Signals with Nonlinear Low-dimensional Structures." IEEE Trans. Signal Processing, 2017, 65 (20): 5421-5436.

**<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, and <NAME>. "Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition." IEEE Trans. Signal Processing, 2016, 64 (21): 5557-5570.

**<NAME>**, <NAME>, <NAME>, <NAME>, <NAME>, and <NAME>. "Missing Data Recovery by Exploiting Low-dimensionality in Power System Synchrophasor Measurements." IEEE Trans. Power Systems, 2016, 31 (2): 1006-1013.


**Conference Publications**
------
<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, **<NAME>**, <NAME>, <NAME>, and <NAME>. "A Low-rank Framework of PMU Data Recovery and Event Identification." Proc. of the First IEEE International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), College Station, Texas, May, 2019. 

<NAME>, <NAME>, **<NAME>**, <NAME>, and <NAME>. "An Evaluation of Low-Rank Matrix Completion Algorithms for Synchrophasor Missing Data Recovery." Proc. of the 20th Power Systems Computation Conference (PSCC), Dublin, Ireland, June, 2018.

**<NAME>**, and <NAME>. "Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements." Proc. of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, April, 2018.

<NAME>, <NAME>, **<NAME>**, <NAME>, <NAME>, and <NAME>. "Recent Results of PMU Data Analytics by Exploiting Low-dimensional Structures." Proc. of the 10th Bulk Power Systems Dynamics and Control Symposium – IREP’2017. Espinho, Portugal, August 2017.

**<NAME>**, <NAME>, and <NAME>. "Quantized Low-rank Matrix Recovery with Erroneous Measurements: Application to Data Privacy in Power Grids." Proc. of Asilomar Conference on Signals, Systems, and Computers 2016. Pacific Grove, CA, Nov. 2016.
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