Are dropout imputation methods for scRNA-seq effective for scHi-C data? - Chenggong Han; Qing Xie; Shili Lin (Briefings Bioinform., 2021)

HiCImpute: A Bayesian hierarchical model for identifying structural zeros and enhancing single cell Hi-C data. - Qing Xie; Chenggong Han; Victor Jin; Shili Lin (PLoS Comput. Biol., 2022)

Self-supervised monocular Depth estimation with multi-scale structure similarity loss. - Chenggong Han; Deqiang Cheng; Qiqi Kou; Xiaoyi Wang; Liangliang Chen; Jiamin Zhao (Multim. Tools Appl., 2023)

MMAIndoor: Patched MLP and multi-dimensional cross attention based self-supervised indoor depth estimation. - Chen Lv; Chenggong Han; Tianshu Song; He Jiang; Qiqi Kou; Jiansheng Qian; Deqiang Cheng (Neurocomputing, 2024)

GDM-depth: Leveraging global dependency modelling for self-supervised indoor depth estimation. - Chen Lv; Chenggong Han; Jochen Lang 001; He Jiang; Deqiang Cheng; Jiansheng Qian (Image Vis. Comput., 2024)

Using full-scale feature fusion for self-supervised indoor depth estimation. - Deqiang Cheng; Junhui Chen; Chen Lv; Chenggong Han; He Jiang (Multim. Tools Appl., 2024)

PRDepth: Pose Refinement Enhancement-Based Monocular Depth Estimation for Indoor Scenes. - Chenggong Han; Chen Lv; Xiaolin Huang; Qiqi Kou; Deqiang Cheng; He Jiang (IEEE Trans. Instrum. Meas., 2025)

DCL-depth: monocular depth estimation network based on iam and depth consistency loss. - Chenggong Han; Chen Lv; Qiqi Kou; He Jiang; Deqiang Cheng (Multim. Tools Appl., 2025)