Ye Zhang

21 papers A 1Journal 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Variable Lavrent'ev Regularized Collocation Method for Auto-Convolution Volterra Integral Equations of the First Kind.
J. Sci. Comput.
Lan Wang, Hui Liang, Ye Zhang
2026 J jnl
Breaking through data scarcity: A novel diffusion model approach for snoring sound augmentation and classification.
Biomed. Signal Process. Control.
Tianrui Jia, Haojie Zhang, Hanhan Wu, Qiyang Sun, Xin Jing, Boyang Meng, Lin Shen, Liang Wang, Kun Qian, Ye Zhang, Bin Hu, Tanja Schultz, Björn W. Schuller, Yoshiharu Yamamoto
2026 J jnl
Latent Fingerprint Quality Assessment for Criminal Investigations: A Benchmark Dataset and Method.
IEEE Trans. Image Process.
Chao Huang, Jingxuan Zhang, Ye Zhang, Hao Wu, Peibei Cao, Zhihua Wang, Yang Yu, Xiaochun Cao
2025 J jnl
A scaling fractional asymptotical regularization method for linear inverse problems.
Adv. Comput. Math.
Lele Yuan, Ye Zhang
2025 J jnl
FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in EEG-Based Emotion Recognition.
IEEE J. Biomed. Health Informatics
Xihang Qiu, Wanyong Qiu, Ye Zhang, Kun Qian, Chun Li, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2025 J jnl
Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning.
IEEE Trans. Multim.
Yan Zhang, Ming Li, Chun Li, Zhaoxia Liu, Ye Zhang, Fei Richard Yu
2024 J jnl
A new second-order dynamical method for solving linear inverse problems in Hilbert spaces.
Appl. Math. Comput.
Qin Huang, Rongfang Gong, Ye Zhang
2024 J jnl
An accelerated inexact Newton-type regularizing algorithm for ill-posed operator equations.
J. Comput. Appl. Math.
Haie Long, Ye Zhang, Guangyu Gao
2024 J jnl
On a class of linear regression methods.
J. Complex.
Ying-Ao Wang, Qin Huang, Zhigang Yao, Ye Zhang
2024 A conf
Study Selectively: An Adaptive Knowledge Distillation based on a Voting Network for Heart Sound Classification.
INTERSPEECH
Xihang Qiu, Lixian Zhu, Zikai Song, Zeyu Chen, Haojie Zhang, Kun Qian, Ye Zhang, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2024 J jnl
Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning.
CoRR
Yan Zhang, Ming Li, Chun Li, Zhaoxia Liu, Ye Zhang, Fei Richard Yu
2023 J jnl
A CCBM-based generalized GKB iterative regularization algorithm for inverse Cauchy problems.
J. Comput. Appl. Math.
Rongfang Gong, Min Wang, Qin Huang, Ye Zhang
2022 J jnl
A CCBM-based generalized GKB iterative regularizing algorithm for inverse Cauchy problems.
CoRR
Rongfang Gong, Min Wang, Qin Huang, Ye Zhang
2022 J jnl
Asymptotic expansion regularization for inverse source problems in two-dimensional singularly perturbed nonlinear parabolic PDEs.
CoRR
Dmitrii Chaikovskii, Aleksei Liubavin, Ye Zhang
2022 J jnl
Convergence analysis for forward and inverse problems in singularly perturbed time-dependent reaction-advection-diffusion equations.
J. Comput. Phys.
Dmitrii Chaikovskii, Ye Zhang
2022 J jnl
Reconstruction of the S-Wave Velocity via Mixture Density Networks With a New Rayleigh Wave Dispersion Function.
IEEE Trans. Geosci. Remote. Sens.
Jianxun Yang, Chen Xu, Ye Zhang
2022 J jnl
Solving forward and inverse problems in a non-linear 3D PDE via an asymptotic expansion based approach.
CoRR
Dmitrii Chaikovskii, Ye Zhang
2022 J jnl
Stochastic asymptotical regularization for nonlinear ill-posed problems.
CoRR
Haie Long, Ye Zhang
2021 J jnl
A Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging.
SIAM J. Imaging Sci.
Guozhi Dong, Michael Hintermueller, Ye Zhang
2020 J jnl
Second order asymptotical regularization methods for inverse problems in partial differential equations.
J. Comput. Appl. Math.
Ye Zhang, Rongfang Gong
2018 J jnl
A parametric level set based collage method for an inverse problem in elliptic partial differential equations.
J. Comput. Appl. Math.
Guangliang Lin, Xiaoliang Cheng, Ye Zhang