Deep Learning Object Detection. - Jingnian Liu; Weihong Huang; Lijun Xiao; Yingzi Huo; Huixuan Xiong; Xiong Li; Weidong Xiao (SmartCom, 2022)

Deep Learning-based Image Text Processing Research*. - Huixuan Xiong; Kai Jin; Jingnian Liu; Jiahong Cai; Lijun Xiao (BigDataSecurity/HPSC/IDS, 2023)

NLP Research Based on Transformer Model. - Junjie Wu; Xueting Huang; Jingnian Liu; Yingzi Huo; Gaojing Yuan; Ronglin Zhang (CSCloud/EdgeCom, 2023)

3D Reconstruction From Traditional Methods to Deep Learning. - Lan Yang; Chaoyi Yang; Rui Xie; Jingnian Liu; Huan Zhang; Wenjin Tan (CSCloud/EdgeCom, 2023)

Anomaly Detection Based on Deep Learning: Insights and Opportunities. - Huan Zhang; Rui Xie; Kuan-Ching Li; Weihong Huang; Chaoyi Yang; Jingnian Liu (CSCloud/EdgeCom, 2023)

SyNet: Medical image anomaly detection with noise synthesis network. - Jingnian Liu; Wei Liang 005; Yuxiang Chen; Kai Jin (BigDataSecurity, 2024)

A Comprehensive Overview of Object Detection Based on Deep Learning. - Gaojing Yuan; Linshu Chen; Jiahong Cai; Chaoyi Yang; Jingnian Liu (IDS, 2024)

Medical images anomaly detection for imbalanced datasets with multi-scale normalizing flow. - Yufeng Xiao; Xueting Huang; Wei Liang 005; Jingnian Liu; Yuxiang Chen; Rui Xie; Kuanching Li; Nam Ling (Comput. Sci. Inf. Syst., 2025)