Pengzhi Gao

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Cross Language Information Retrieval

Machine Translation

Brazilian Portuguese

Parallel Corpora

Top Venues

IEEE Trans. Signal Process.

Publications

Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang
Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models. CoRR (2024)
Pengzhi Gao, Ruiqing Zhang, Zhongjun He, Hua Wu, Haifeng Wang
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation. NAACL-HLT (2024)
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR (2024)
Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization. CoRR (2023)
Pengzhi Gao, Ruiqing Zhang, Zhongjun He, Hua Wu, Haifeng Wang
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation. CoRR (2023)
Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization. ACL (Findings) (2023)
Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang
Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization. EMNLP (Industry Track) (2023)
Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang
Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization. CoRR (2023)
Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation. CoRR (2022)
Gengyuan Guo, Pengzhi Gao, Xiangwei Zheng, Cun Ji
Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation. BIBM (2022)
Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation. NAACL-HLT (2022)
Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang
Mixup Decoding for Diverse Machine Translation. CoRR (2021)
Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang
Mixup Decoding for Diverse Machine Translation. EMNLP (Findings) (2021)
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu
A Data-Centric Framework for Composable NLP Workflows. CoRR (2021)
Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao
Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. ACSCC (2021)
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu
A Data-Centric Framework for Composable NLP Workflows. EMNLP (Demos) (2020)
Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow
Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. IEEE Trans. Signal Process. 66 (11) (2018)
Pengzhi Gao, Meng Wang
Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements. ICASSP (2018)
Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures. IEEE Trans. Signal Process. 65 (20) (2017)
Pengzhi Gao, Meng Wang, Joe H. Chow, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. CoRR (2016)
Pengzhi Gao, Meng Wang, Joe H. Chow, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. IEEE Trans. Signal Process. 64 (21) (2016)
Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow
Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids. ACSSC (2016)
Meng Wang, Joe H. Chow, Pengzhi Gao, Xinyu Tony Jiang, Yu Xia, Scott G. Ghiocel, Bruce Fardanesh, George Stefopolous, Yutaka Kokai, Nao Saito, Michael P. Razanousky
A Low-Rank Matrix Approach for the Analysis of Large Amounts of Power System Synchrophasor Data. HICSS (2015)
Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
Matrix completion with columns in union and sums of subspaces. GlobalSIP (2015)
Meng Wang, Pengzhi Gao, Scott G. Ghiocel, Joe H. Chow, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
Identification of "unobservable" cyber data attacks on power grids. SmartGridComm (2014)