Predicting perceptual learning from higher-order cortical processing. - Fang Wang; Jing Huang 006; Yaping Lv; Xiaoli Ma; Bin Yang; Encong Wang; Boqi Du; Wu Li; Yan Song 006 (NeuroImage, 2016)

Protein sequence information extraction and subcellular localization prediction with gapped k-Mer method. - Yuhua Yao; Yaping Lv; Ling Li; Huimin Xu; Binbin Ji; Jing Chen; Chun Li; Bo Liao; Xu-Ying Nan (BMC Bioinform., 2019)

Coverage Probability Analysis of Three-tier Heterogeneous Networks Based on Poisson Cluster Process. - Haixia Hu; Xiangdong Jia; Peiwen Ye; Yaping Lv; Yi Lu (WCSP, 2020)

Analysis of Throughput for UAV-Assisted Multi-Tier mm-Wave Cellular Heterogeneous Networks. - Yi Lu; Xiangdong Jia; Pengshan Ji; Yaping Lv; Haixia Hu; Peiwen Ye (WCSP, 2020)

Modeling and analyzing multi-tier massive multiple-input multiple-output-enabled heterogeneous networks with hybrid spectrum allocation for cluster-center and cluster-edge users. - Xiangdong Jia; Yaping Lv; Yuwan Chen; Letian Jing; Yuhua Ouyang (Trans. Emerg. Telecommun. Technol., 2021)

Failure of resting-state frontal-occipital connectivity in linking visual perception with reading fluency in Chinese children with developmental dyslexia. - Xiujie Yang; Jia Zhang; Yaping Lv; Fang Wang; Guosheng Ding; Manli Zhang; Xiangzhi Meng; Yan Song 006 (NeuroImage, 2021)

Block Markov Superposition Transmission of Fourier Transform Pair Codes. - Xiao Ma 001; Dian Chen 006; Yaping Lv (WCSP, 2022)

ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data. - Yuhua Yao; Yaping Lv; Ling Tong; Yuebin Liang; Shuxue Xi; Binbin Ji; Guanglu Zhang; Ling Li; Geng Tian; Min Tang; Xiyue Hu; Shijun Li; et al. (Briefings Bioinform., 2022)

Generalized Fourier Transform Pair Codes. - Yaping Lv; Suihua Cai; Xiao Ma 001 (IEEE Commun. Lett., 2025)