A Regression Approach for Robust Gait Periodicity Detection with Deep Convolutional Networks. - Kejun Wang; Liangliang Liu; Xinnan Ding; Yibo Xu; Haolin Wang (PRCV (2), 2018)

Nonstandard Periodic Gait Energy Image for Gait Recognition and Data Augmentation. - Kejun Wang; Liangliang Liu; Yilong Lee; Xinnan Ding; Junyu Lin (PRCV (2), 2019)

Attention-Based Network for Semantic Image Segmentation via Adversarial Learning. - Xinnan Ding; Ying Tian; Chenhui Wang; Yilong Li; Haodong Yang; Kejun Wang (PRCV (3), 2020)

Sequential convolutional network for behavioral pattern extraction in gait recognition. - Xinnan Ding; Kejun Wang; Chenhui Wang; Tianyi Lan; Liangliang Liu (Neurocomputing, 2021)

A partition approach for robust gait recognition based on gait template fusion. - Kejun Wang; Liangliang Liu; Xinnan Ding; Kaiqiang Yu; Gang Hu (Frontiers Inf. Technol. Electron. Eng., 2021)

Spatiotemporal Multi-scale Bilateral Motion Network for Gait Recognition. - Xinnan Ding; Shan Du; Yu Zhang; Kejun Wang (CoRR, 2022)

Spatiotemporal multi-scale bilateral motion network for gait recognition. - Xinnan Ding; Shan Du; Yu Zhang 223; Kejun Wang (J. Supercomput., 2024)

Compressed Representation of Extreme Learning Machine with Self-Diffusion Graph Denoising Applied for Dissecting Molecular Heterogeneity. - Xin Duan; Xinnan Ding; Yuelin Lu (J. Comput. Biol., 2025)