Modeling and simulation of infrared signature of remote aerial targets. - Bendong Zhao; Shanzhu Xiao; Huanzhang Lu; Dongya Wu (CISP-BMEI, 2017)

Sparse Representation for Waveforms Classification. - Shanzhu Xiao; Bendong Zhao; Huanzhang Lu; Dongya Wu (ICSPCS, 2018)

Prediction of Behavioral Traits via Anatomical Connectivity Fingerprint. - Dongya Wu; Xin Li 061 (ICBET, 2019)

RiceRelativesGD: a genomic database of rice relatives for rice research. - Lingfeng Mao 002; Meihong Chen; Qinjie Chu; Lei Jia; Most Humaira Sultana; Dongya Wu; Xiangdong Kong; Jie Qiu; Chu-Yu Ye; Qian-Hao Zhu; Xi Chen; Longjiang Fan (Database J. Biol. Databases Curation, 2019)

Reliable heritability estimation using sparse regularization in ultrahigh dimensional genome-wide association studies. - Xin Li 061; Dongya Wu; Yue Cui 005; Bing Liu 008; Henrik Walter; Gunter Schumann; Chong Li 002; Tianzi Jiang (BMC Bioinform., 2019)

Sparse recovery via nonconvex regularized M-estimators over ℓq-balls. - Xin Li 061; Dongya Wu; Chong Li 002; Jinhua Wang 001; Jen-Chih Yao (Comput. Stat. Data Anal., 2020)

Minimax Rates of ℓp-Losses for High-Dimensional Linear Errors-in-Variables Models over ℓq-Balls. - Xin Li 061; Dongya Wu (Entropy, 2021)

Speech Emotion Recognition via Multi-Level Attention Network. - Ke Liu; Dekui Wang; Dongya Wu; Yutao Liu; Jun Feng 003 (IEEE Signal Process. Lett., 2022)

Speech Emotion Recognition via Heterogeneous Feature Learning. - Ke Liu; Dongya Wu; Dekui Wang; Jun Feng 003 (ICASSP, 2023)

Speech Emotion Recognition Via Two-Stream Pooling Attention With Discriminative Channel Weighting. - Ke Liu; Dekui Wang; Dongya Wu; Jun Feng 003 (ICASSP, 2023)

Graph propagation network captures individual connectivity-function relationship through predicting functional activation based on structural connectivity. - Dongya Wu; Xin Li (EMBC, 2024)

Connectome-based prediction of individual behaviors via convolutional graph propagation network. - Dongya Wu; Xin Li (EMBC, 2024)

Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression. - Dongya Wu; Xin Li (CoRR, 2024)

Adversarially robust generalization theory via Jacobian regularization for deep neural networks. - Dongya Wu; Xin Li (CoRR, 2024)

Low-rank matrix estimation via nonconvex optimization methods in multi-response errors-in-variables regression. - Xin Li 061; Dongya Wu (J. Glob. Optim., 2024)

Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method. - Xin Li 061; Dongya Wu (Stat. Comput., 2024)

Low-rank matrix estimation via nonconvex spectral regularized methods in errors-in-variables matrix regression. - Xin Li; Dongya Wu (Eur. J. Oper. Res., 2025)

Low-Rank Matrix Recovery Via Nonconvex Optimization Methods with Application to Errors-in-Variables Matrix Regression. - Xin Li; Dongya Wu (J. Optim. Theory Appl., 2025)