Pengxiang Xu

18 papers A* 1A 2Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT.
AAAI
Da Chang, Peng Xue, Yu Li, Yongxiang Liu, Pengxiang Xu, Shixun Zhang
2025 J jnl
Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT.
CoRR
Da Chang, Peng Xue, Yu Li, Yongxiang Liu, Pengxiang Xu, Shixun Zhang
2025 J jnl
Efficient Low-Precision GEMM on Ascend NPU: HGEMM's Synergy of Pipeline Scheduling, Tiling, and Memory Optimization.
Comput.
Erkun Zhang, Pengxiang Xu, Lu Lu
2025 J jnl
SGEMM-cube: Emulating FP32 GEMM on Ascend NPUs Using FP16 Cube Units with Precision Recovery.
CoRR
Weicheng Xue, Baisong Xu, Kai Yang, Yongxiang Liu, Dengdeng Fan, Pengxiang Xu, Yonghong Tian
2024 J jnl
Block Coordinate Descent Methods for Optimization under J-Orthogonality Constraints with Applications.
CoRR
Di He, Ganzhao Yuan, Xiao Wang, Pengxiang Xu
2024 J jnl
Detecting facial manipulated images via one-class domain generalization.
Multim. Syst.
Pengxiang Xu, Zhiyuan Ma, Xue Mei, Jie Shen
2024 A conf
Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance.
EuroSys
Yijia Zhang, Qiang Wang, Zhe Lin, Pengxiang Xu, Bingqiang Wang
2024 J jnl
Uncertainty guided test-time training for face forgery detection.
Comput. Vis. Image Underst.
Pengxiang Xu, Yang He, Jian Yang, Shanshan Zhang
2024 A conf
Unlocking High Performance with Low-Bit NPUs and CPUs for Highly Optimized HPL-MxP on Cloud Brain II.
SC
Weicheng Xue, Kai Yang, Yongxiang Liu, Dengdong Fan, Pengxiang Xu, Yonghong Tian
2023 J jnl
An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization.
IEEE Trans. Pattern Anal. Mach. Intell.
Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu
2022 J jnl
Data fusing and joint training for learning with noisy labels.
Frontiers Comput. Sci.
Yi Wei, Mei Xue, Xin Liu, Pengxiang Xu
2022 J jnl
Sketch-Based Empirical Natural Gradient Methods for Deep Learning.
J. Sci. Comput.
Minghan Yang, Dong Xu, Zaiwen Wen, Mengyun Chen, Pengxiang Xu
2021 J jnl
DST: Data Selection and joint Training for Learning with Noisy Labels.
CoRR
Yi Wei, Xue Mei, Xin Liu, Pengxiang Xu
2021 J jnl
Filtration network: A frame sampling strategy via deep reinforcement learning for video captioning.
J. Intell. Fuzzy Syst.
Tiancheng Qian, Xue Mei, Pengxiang Xu, Kangqi Ge, Zhelei Qiu
2021 J jnl
NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning.
CoRR
Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu
2021 — conf
Robust Facial Manipulation Detection via Domain Generalization.
ICCAI
Pengxiang Xu, Xue Mei, Yi Wei, Tiancheng Qian
2021 J jnl
Simulating noisy variational quantum eigensolver with local noise models.
Quantum Eng.
Jinfeng Zeng, Zipeng Wu, Chenfeng Cao, Chao Zhang, Shi-Yao Hou, Pengxiang Xu, Bei Zeng
2020 J jnl
Simulating Noisy Quantum Circuits with Matrix Product Density Operators.
CoRR
Song Cheng, Chenfeng Cao, Chao Zhang, Yongxiang Liu, Shi-Yao Hou, Pengxiang Xu, Bei Zeng