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Pengzhi Gao
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2020 – today
- 2024
- [c15]Manxi Sun, Wei Liu, Jian Luan, Pengzhi Gao, Bin Wang:
Mixture of Diverse Size Experts. EMNLP (Industry Track) 2024: 1608-1621 - [c14]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, 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. EMNLP 2024: 5081-5099 - [c13]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: 242-256 - [i10]Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang:
Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models. CoRR abs/2401.05861 (2024) - [i9]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 abs/2406.16253 (2024) - [i8]Manxi Sun, Wei Liu, Jian Luan, Pengzhi Gao, Bin Wang:
Mixture of Diverse Size Experts. CoRR abs/2409.12210 (2024) - 2023
- [c12]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: 12103-12119 - [c11]Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang:
Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization. EMNLP (Industry Track) 2023: 243-262 - [i7]Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang:
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization. CoRR abs/2305.07310 (2023) - [i6]Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang:
Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization. CoRR abs/2306.06919 (2023) - [i5]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 abs/2308.14482 (2023) - 2022
- [c10]Gengyuan Guo, Pengzhi Gao, Xiangwei Zheng, Cun Ji:
Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation. BIBM 2022: 3008-3014 - [c9]Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang:
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation. NAACL-HLT 2022: 3938-3948 - [i4]Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang:
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation. CoRR abs/2206.02368 (2022) - 2021
- [c8]Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao:
Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. ACSCC 2021: 1656-1660 - [c7]Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang:
Mixup Decoding for Diverse Machine Translation. EMNLP (Findings) 2021: 312-320 - [i3]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 abs/2103.01834 (2021) - [i2]Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang:
Mixup Decoding for Diverse Machine Translation. CoRR abs/2109.03402 (2021) - 2020
- [c6]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: 197-204
2010 – 2019
- 2018
- [j3]Pengzhi Gao, Ren Wang
, Meng Wang
Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. IEEE Trans. Signal Process. 66(11): 2918-2932 (2018) - [c5]Pengzhi Gao, Meng Wang:
Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements. ICASSP 2018: 4089-4093 - 2017
- [j2]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): 5421-5436 (2017) - 2016
- [j1]Pengzhi Gao, Meng Wang
Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. IEEE Trans. Signal Process. 64(21): 5557-5570 (2016) - [c4]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: 374-378 - [i1]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 abs/1607.04776 (2016) - 2015
- [c3]Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky:
Matrix completion with columns in union and sums of subspaces. GlobalSIP 2015: 785-789 - [c2]Meng Wang, Joe H. Chow, Pengzhi Gao, Xinyu Tony Jiang, Yu Xia, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, 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: 2637-2644 - 2014
- [c1]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: 830-835
Coauthor Index
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last updated on 2024-11-25 23:45 CET by the dblp team
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