Pengzhi Gao

According to our database1, Pengzhi Gao authored at least 20 papers between 2014 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Mixture of Diverse Size Experts.
CoRR, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
CoRR, 2024

Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models.
CoRR, 2024

An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024


2023
Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Mixup Decoding for Diverse Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
A Data-Centric Framework for Composable NLP Workflows.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

2018
Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements.
IEEE Trans. Signal Process., 2018

Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures.
IEEE Trans. Signal Process., 2017

2016
Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition.
IEEE Trans. Signal Process., 2016

Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
A Low-Rank Matrix Approach for the Analysis of Large Amounts of Power System Synchrophasor Data.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Matrix completion with columns in union and sums of subspaces.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Identification of "unobservable" cyber data attacks on power grids.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014


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