Peipei Yuan

23 papers A* 1C 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Maximum likelihood neural additive models.
Inf. Sci.
Jingyi Chen, Xuelin Zhang, Peipei Yuan, Rushi Lan, Hong Chen
2025 J jnl
HRR: Hierarchical Retrospection Refinement for Generated Image Detection.
CoRR
Peipei Yuan, Zijing Xie, Shuo Ye, Hong Chen, Yulong Wang
2025 J jnl
Sparse Additive Machine With the Correntropy-Induced Loss.
IEEE Trans. Neural Networks Learn. Syst.
Peipei Yuan, Xinge You, Hong Chen, Yingjie Wang, Qinmu Peng, Bin Zou
2024 A* conf
Generalized Sparse Additive Model with Unknown Link Function.
ICDM
Peipei Yuan, Xinge You, Hong Chen, Xuelin Zhang, Qinmu Peng
2024 J jnl
Generalized Sparse Additive Model with Unknown Link Function.
CoRR
Peipei Yuan, Xinge You, Hong Chen, Xuelin Zhang, Qinmu Peng
2023 J jnl
A Novel Vehicle Localization Method Based on Adaptive Singular Spectrum Analysis Using Low-Cost INS/GNSS.
IEEE Access
Lebin Zhao, Tao Chen, Peipei Yuan, Zhaoguo Tang, Jie Wang
2023 — conf
Attention-Based Deep Convolutional Network for Speech Recognition Under Multi-scene Noise Environment.
ICONIP (9)
Chuanwu Yang, Shuo Ye, Zhishu Lin, Qinmu Peng, Jiamiao Xu, Peipei Yuan, Yuetian Wang, Xinge You
2022 J jnl
Head-related transfer function-reserved time-frequency masking for robust binaural sound source localization.
CAAI Trans. Intell. Technol.
Hong Liu, Peipei Yuan, Bing Yang, Ge Yang, Yang Chen
2021 J jnl
Achieving Domain Generalization in Underwater Object Detection by Image Stylization and Domain Mixup.
CoRR
Pinhao Song, Linhui Dai, Peipei Yuan, Hong Liu, Runwei Ding
2021 J jnl
Hyperspectral Image Classification via Spatial Window-Based Multiview Intact Feature Learning.
IEEE Trans. Geosci. Remote. Sens.
Yue Zhao, Yiu-ming Cheung, Xinge You, Qinmu Peng, Jiangtao Peng, Peipei Yuan, Yufeng Shi
2020 J jnl
A Control Strategy for Maintaining Gait Stability and Reducing Body-Exoskeleton Interference Force in Load-Carrying Exoskeleton.
J. Intell. Robotic Syst.
Xianggang Zhang, Guoyu Wang, Peipei Yuan, Hui Xu, Yumei Hou
2020 J jnl
Group sparse additive machine with average top-k loss.
Neurocomputing
Peipei Yuan, Xinge You, Hong Chen, Qinmu Peng, Yue Zhao, Zhou Xu, Xiao-Yuan Jing, Zhenyu He
2020 J jnl
Imbalanced metric learning for crashing fault residence prediction.
J. Syst. Softw.
Zhou Xu, Kunsong Zhao, Meng Yan, Peipei Yuan, Ling Xu, Yan Lei, Xiaohong Zhang
2019 — conf
Robust Interaural Time Difference Estimation Based on Convolutional Neural Network.
ROBIO
Hong Liu, Peipei Yuan, Bing Yang, Lulu Wu
2019 J jnl
Software defect prediction based on kernel PCA and weighted extreme learning machine.
Inf. Softw. Technol.
Zhou Xu, Jin Liu, Xiapu Luo, Zijiang Yang, Yifeng Zhang, Peipei Yuan, Yutian Tang, Tao Zhang
2019 J jnl
TSTSS: A two-stage training subset selection framework for cross version defect prediction.
J. Syst. Softw.
Zhou Xu, Shuai Li, Xiapu Luo, Jin Liu, Tao Zhang, Yutian Tang, Jun Xu, Peipei Yuan, Jacky Keung
2019 J jnl
Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals.
Int. J. Pattern Recognit. Artif. Intell.
Yinghao Zhang, Xiaoyan Deng, Zhou Xu, Peipei Yuan
2018 J jnl
HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning.
IEEE Access
Zhou Xu, Peipei Yuan, Tao Zhang, Yutian Tang, Shuai Li, Zhen Xia
2017 C conf
An Empirical Study on the Equivalence and Stability of Feature Selection for Noisy Software Defect Data.
SEKE
Zhou Xu, Jin Liu, Zhen Xia, Peipei Yuan
2017 J jnl
Error analysis of regularized least-square regression with Fredholm kernel.
Neurocomputing
Yanfang Tao, Peipei Yuan, Biqin Song
2016 J jnl
Error analysis of regularized least-square regression with Fredholm kernel.
CoRR
Yanfang Tao, Peipei Yuan, Biqin Song
2015 J jnl
Generalization ability of extreme learning machine with uniformly ergodic Markov chains.
Neurocomputing
Peipei Yuan, Hong Chen, Yicong Zhou, Xiaoyan Deng, Bin Zou
1999 — conf
Hollywood and highland.
SIGGRAPH Electronic Art and Animation Catalog
Damijan Saccio, Peter Korian, Peipei Yuan