Publications

Thesis

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

Thesis Committee: Meng Wang, Joe H. Chow, Birsen Yazici, and John E. Mitchell.

Preprints & Technical Reports

P. Gao, Z. He, H. Wu, and H. Wang, “Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models.” arXiv preprint arXiv:2401.05861, 2024. [Code]

R. Wang, P. Gao, and M. Wang. “Robust Matrix Completion by Exploiting Dynamic Low-dimensional Structures.” DOI: 10.21203/rs.3.rs-420556/v1, 2021. (The first two authors contributed equally to this paper)

Z. Hu, P. Gao, A. Bukkittu, and Z. Hu. “Introducing Texar-PyTorch: An ML Library Integrating the Best of TensorFlow into PyTorch.”, 2019. [Blog] [Blog (in Chinese)] [Code]

Journal Publications

P. Gao, R. Wang, M. Wang, and J. H. Chow. “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)

P. Gao, M. Wang, J. H. Chow, M. Berger, and L. M. Seversky. “Missing Data Recovery for High-dimensional Signals with Nonlinear Low-dimensional Structures.” IEEE Trans. Signal Processing, 2017, 65 (20): 5421-5436.

P. Gao, M. Wang, J. H. Chow, S. G. Ghiocel, B. Fardanesh, G. Stefopoulos, and M. P. Razanousky. “Identification of Successive “Unobservable” Cyber Data Attacks in Power Systems Through Matrix Decomposition.” IEEE Trans. Signal Processing, 2016, 64 (21): 5557-5570.

P. Gao, M. Wang, S. G. Ghiocel, J. H. Chow, B. Fardanesh, and G. Stefopoulos. “Missing Data Recovery by Exploiting Low-dimensionality in Power System Synchrophasor Measurements.” IEEE Trans. Power Systems, 2016, 31 (2): 1006-1013.

Conference Publications

P. Gao, R. Zhang, Z. He, H. Wu, and H. Wang, “An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation.” Proc. of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June, 2024. [Code]

P. Gao, L. Zhang, Z. He, H. Wu, and H. Wang, “Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization.” Proc. of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): Industry Track, December, 2023. [Code]

P. Gao, L. Zhang, Z. He, H. Wu, and H. Wang, “Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization.” Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL), July, 2023. [Code]

P. Gao, Z. He, H. Wu, and H. Wang, “Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation.” Proc. of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), July, 2022. [Code]

J. Li, P. Gao, X. Wu, Y. Feng, Z. He, H. Wu, and H. Wang, “Mixup Decoding for Diverse Machine Translation.” Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), November, 2021.

R. Wang, T. Chen, Z. Xu, and P. Gao, “Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements.” Proc. of Asilomar Conference on Signals, Systems, and Computers, November, 2021.

Z. Liu, G. Ding, A. Bukkittu, M. Gupta, P. Gao, A. Ahmed, S. Zhang, X. Gao, S. Singhavi, L. Li, W. Wei, Z. Hu, H. Shi, X. Liang, T. Mitamura, E. P. Xing, and Z. Hu. “A Data-Centric Framework for Composable NLP Workflows.” Proc. of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations, November, 2020. [Code]

M. Wang, J. H. Chow, Y. Hao, S. Zhang, W. Li, R. Wang, P. Gao, C. Lackner, E. Farantatos, and M. Patel. “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.

G. Mijolla, S. Konstantinouplos, P. Gao, J. H. Chow, and M. Wang. “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.

P. Gao, and M. Wang. “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.

M. Wang, J. H. Chow, P. Gao, Y. Hao, W. Li, and R. Wang. “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.

P. Gao, R. Wang, and M. Wang. “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.

P. Gao, M. Wang, and J. H. Chow. “Matrix Completion with Columns in Union and Sums of Subspaces.” Proc. of IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2015. Orlando, FL, Dec. 2015.

M. Wang, J. H. Chow, P. Gao, X. T. Jiang, Y. Xia, S. G. Ghiocel, B. Fardanesh, G. Stefopoulos, Y. Kokai, N. Saito, and M. P. Razanousky. “A Low-Rank Matrix Approach for the Analysis of Large Amounts of Power System Synchrophasor Data.” Proc. of Hawaii International Conference on System Sciences (Runner-up for Best Paper in Electric Energy Systems Track), Kauai, Hawaii, Jan. 2015.

M. Wang, P. Gao, S. G. Ghiocel, J. H. Chow, B. Fardanesh, G. Stefopoulos, and M. P. Razanousky. “Identification of “Unobservable” Cyber Data Attacks on Power Grids.” Proc. of IEEE SmartGridComm, Venice, Italy, Nov. 2014.

P. Gao, M. Wang, S. G. Ghiocel, and J. H. Chow. “Modeless Reconstruction of Missing Synchrophasor Measurements.” Proc. of IEEE Power & Energy Society General Meeting (Best Conference Papers on Power System Analysis and Modeling), Washington, DC, July 2014.