Pengxiang Xu

According to our database, Pengxiang Xu authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Detecting facial manipulated images via one-class domain generalization.

Pengxiang Xu, Zhiyuan Ma, Xue Mei, jie Shen

Multim. Syst., February, 2024

Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance.

Yijia Zhang, Qiang Wang, Zhe Lin, Pengxiang Xu, Bingqiang Wang

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization.

Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

2022

Sketch-Based Empirical Natural Gradient Methods for Deep Learning.

Minghan Yang, Dong Xu, Zaiwen Wen, Mengyun Chen, Pengxiang Xu

J. Sci. Comput., 2022

Data fusing and joint training for learning with noisy labels.

Yi Wei, Mei Xue, Xin Liu, Pengxiang Xu

Frontiers Comput. Sci., 2022

2021

Simulating noisy variational quantum eigensolver with local noise models.

Jinfeng Zeng, Zipeng Wu, Chenfeng Cao, Chao Zhang, Shi-Yao Hou, Pengxiang Xu, Bei Zeng

Quantum Eng., 2021

Filtration network: A frame sampling strategy via deep reinforcement learning for video captioning.

Tiancheng Qian, Xue Mei, Pengxiang Xu, Kangqi Ge, Zhelei Qiu

J. Intell. Fuzzy Syst., 2021

NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning.

Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu

CoRR, 2021

DST: Data Selection and joint Training for Learning with Noisy Labels.

Yi Wei, Xue Mei, Xin Liu, Pengxiang Xu

CoRR, 2021

Robust Facial Manipulation Detection via Domain Generalization.

Pengxiang Xu, Xue Mei, Yi Wei, Tiancheng Qian

Proceedings of the ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence, Tianjin China, April 23, 2021

2020

Simulating Noisy Quantum Circuits with Matrix Product Density Operators.

Song Cheng, Chenfeng Cao, Chao Zhang, Yongxiang Liu, Shi-Yao Hou, Pengxiang Xu, Bei Zeng

CoRR, 2020