An Assessment Method of Tongue Image Quality Based on Random Forest in Traditional Chinese Medicine. - Xinfeng Zhang 002; Yazhen Wang; Guangqin Hu; Jing Zhang 023 (ICIC (3), 2015)

Preliminary Study of Tongue Image Classification Based on Multi-label Learning. - Xinfeng Zhang 002; Jing Zhang 023; Guangqin Hu; Yazhen Wang (ICIC (3), 2015)

Feature import vector machine: A general classifier with flexible feature selection. - Samiran Ghosh; Yazhen Wang (Stat. Anal. Data Min., 2015)

Sparse PCA-based on high-dimensional Itô processes with measurement errors. - Donggyu Kim; Yazhen Wang (J. Multivar. Anal., 2016)

Some q-Dixon-like summation formula. - Victor J. W. Guo; Yazhen Wang (Ars Comb., 2017)

How Many Factors Influence Minima in SGD? - Victor Luo; Yazhen Wang (CoRR, 2020)

SGD Distributional Dynamics of Three Layer Neural Networks. - Victor Luo; Yazhen Wang; Glenn Fung (CoRR, 2020)

Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms. - Yazhen Wang; Shang Wu (J. Mach. Learn. Res., 2020)

Quantum Annealing via Path-Integral Monte Carlo With Data Augmentation. - Jianchang Hu; Yazhen Wang (J. Comput. Graph. Stat., 2021)

Quantitative assessment of leakage orifices within gas pipelines using a Bayesian network. - Cuiwei Liu; Yazhen Wang; Xinhong Li; Yuxing Li; Faisal Khan 001; Baoping Cai (Reliab. Eng. Syst. Saf., 2021)

Unified discrete-time factor stochastic volatility and continuous-time Itô models for combining inference based on low-frequency and high-frequency. - Donggyu Kim; Xinyu Song 003; Yazhen Wang (J. Multivar. Anal., 2022)

A Two-Stage Pansharpening Method for the Fusion of Remote-Sensing Images. - Yazhen Wang; Guojun Liu; Rui Zhang; Junmin Liu (Remote. Sens., 2022)

Optimal High-Order Tensor SVD via Tensor-Train Orthogonal Iteration. - Yuchen Zhou; Anru R. Zhang; Lili Zheng; Yazhen Wang (IEEE Trans. Inf. Theory, 2022)

A method to improve full-resolution remote sensing pansharpening image quality assessment via feature combination. - Yazhen Wang; Guojun Liu; Lili Wei; Lixia Yang; Long Xu (Signal Process., 2023)

Robust Reinforcement Learning under Diffusion Models for Data with Jumps. - Chenyang Jiang; Donggyu Kim; Alejandra Quintos; Yazhen Wang (CoRR, 2024)

From meteorological to agricultural drought: Propagation time and influencing factors over diverse underlying surfaces based on CNN-LSTM model. - Junchen Long; Changchun Xu; Yazhen Wang; Jing Zhang (Ecol. Informatics, 2024)

A non-convex low-rank image decomposition model via unsupervised network. - Wanqing Shang; Guojun Liu; Yazhen Wang; Jianjun Wang; Yuemei Ma (Signal Process., 2024)

Local image segmentation model via Hellinger distance. - Guojun Liu; Jianhui Guo; Yazhen Wang; Xiangguo Liu; Wentao Ma; Rui Zhang (Vis. Comput., 2024)

An Attention-Based Feature Processing Method for Cross-Domain Hyperspectral Image Classification. - Yazhen Wang; Guojun Liu; Lixia Yang; Junmin Liu; Lili Wei (IEEE Signal Process. Lett., 2025)

Computational and Statistical Asymptotic Analysis of the JKO Scheme for Iterative Algorithms to update distributions. - Shang Wu; Yazhen Wang (CoRR, 2025)