Fully Optimized Convolutional Neural Network Based on Small-Scale Crowd. - Lijia Deng; Shui-Hua Wang; Yu-Dong Zhang 001 (ISCAS, 2020)

Approximation Algorithms for the Min-Max Cycle Cover Problem With Neighborhoods. - Lijia Deng; Wenzheng Xu; Weifa Liang; Jian Peng 002; Yingjie Zhou 001; Lei Duan; Sajal K. Das 001 (IEEE/ACM Trans. Netw., 2020)

Alcoholism Detection via 5-Layer Customized Convolution Neural Network. - Lijia Deng (ICIC (1), 2021)

MFGAN: A Lightweight Fast Multi-task Multi-scale Feature-fusion Model based on GAN. - Lijia Deng; Yu-Dong Zhang 001 (ICMR, 2022)

ELMGAN: A GAN-based efficient lightweight multi-scale-feature-fusion multi-task model. - Lijia Deng; Shui-Hua Wang; Yu-Dong Zhang 001 (Knowl. Based Syst., 2022)

Deep learning in food category recognition. - Yudong Zhang 001; Lijia Deng; Hengde Zhu; Wei Wang 357; Zeyu Ren; Qinghua Zhou; Siyuan Lu 001; Shiting Sun; Ziquan Zhu; Juan Manuel Górriz; Shuihua Wang (Inf. Fusion, 2023)

SSRNet: A Deep Learning Network via Spatial-Based Super-resolution Reconstruction for Cell Counting and Segmentation. - Lijia Deng; Qinghua Zhou; Shuihua Wang; Yudong Zhang 001 (Adv. Intell. Syst., 2023)

Deep learning in crowd counting: A survey. - Lijia Deng; Qinghua Zhou; Shuihua Wang; Juan Manuel Górriz; Yudong Zhang 001 (CAAI Trans. Intell. Technol., 2024)