Using residue propensities and tightness of fit to improve rigid-body protein-docking. - Bingding Huang; Michael Schroeder 001 (German Conference on Bioinformatics, 2005)

Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction. - Zengming Zhang; Yu Li; Biaoyang Lin; Michael Schroeder 001; Bingding Huang (Bioinform., 2011)

MetaDBSite: a meta approach to improve protein DNA-binding sites prediction. - Jing-Na Si; Zengming Zhang; Biaoyang Lin; Michael Schroeder 001; Bingding Huang (BMC Syst. Biol., 2011)

BreakID: genomics breakpoints identification to detect gene fusion events using discordant pairs and split reads. - Linfang Jin; Jinhuo Lai; Yang Zhang 056; Ying Fu 002; Shuhang Wang; Heng Dai; Bingding Huang (Bioinform., 2019)

SinoDuplex: An Improved Duplex Sequencing Approach to Detect Low-frequency Variants in Plasma cfDNA Samples. - Yongzhe Ren; Yang Zhang 056; Dandan Wang; Fengying Liu; Ying Fu 002; Shaohua Xiang; Li Su 006; Jiancheng Li; Heng Dai; Bingding Huang (Genom. Proteom. Bioinform., 2020)

A Cascaded 3D Segmentation Model for Renal Enhanced CT Images. - Dan Li; Zhuo Chen; Haseeb Hassan; Weiguo Xie; Bingding Huang (KiTS@MICCAI, 2021)

Contrast-Enhanced CT Renal Tumor Segmentation. - Chuda Xiao; Haseeb Hassan; Bingding Huang (KiTS@MICCAI, 2021)

A review of motion planning algorithms for intelligent robotics. - Chengmin Zhou; Bingding Huang; Pasi Fränti (CoRR, 2021)

An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios. - Chengmin Zhou; Bingding Huang; Pasi Fränti (CoRR, 2021)

Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy. - YuanKe Pan; Jinxin Zhu; Bingding Huang (FLARE@MICCAI, 2022)

Effects of haze and dehazing on deep learning-based vision models. - Haseeb Hassan; Pranshu Mishra; Muhammad Ahmad; Ali Kashif Bashir; Bingding Huang; Bin Luo 001 (Appl. Intell., 2022)

Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks. - Haseeb Hassan; Zhaoyu Ren; Huishi Zhao; Shoujin Huang; Dan Li; Shaohua Xiang; Yan Kang; Sifan Chen; Bingding Huang (Comput. Biol. Medicine, 2022)

Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review. - Haseeb Hassan; Zhaoyu Ren; Chengmin Zhou; Muazzam Ali Khan Khattak; Yi Pan; Jian Zhao 025; Bingding Huang (Comput. Methods Programs Biomed., 2022)

Towards more efficient ophthalmic disease classification and lesion location via convolution transformer. - Huajie Wen; Jian Zhao 025; Shaohua Xiang; Lin Lin; Chengjian Liu; Tao Wang; Lin An; Lixin Liang; Bingding Huang (Comput. Methods Programs Biomed., 2022)

3D Cross Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentation. - Yongzhi Huang; Hanwen Zhang; Yan Yan; Haseeb Hassan; Bingding Huang (CoRR, 2022)

A review of motion planning algorithms for intelligent robots. - Chengmin Zhou; Bingding Huang; Pasi Fränti (J. Intell. Manuf., 2022)

Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods. - Ruyun Ruan; Shoujin Huang; Liyilei Su; Rashid Khan; Bingding Huang (AAIA, 2023)

Two-Stage Training for Abdominal Pan-Cancer Segmentation in Weak Label. - Hanwen Zhang; Yongzhi Huang; Bingding Huang (FLARE@MICCAI, 2023)

A Framework based on Deep Neural Network for Ranking-oriented Software Defect Prediction. - Jiapeng Dai; Xiaoxing Yang; Bingding Huang; Xiaofen Lu (QRS, 2023)

Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review. - Chengmin Zhou; Chao Wang; Haseeb Hassan; Himat Shah; Bingding Huang; Pasi Fränti (CoRR, 2023)

Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning. - Chengmin Zhou; Xin Lu; Jiapeng Dai; Bingding Huang; Xiaoxu Liu; Pasi Fränti (CoRR, 2023)

A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation. - Rashid Khan; Bingding Huang; Haseeb Hassan; Asim Zaman; Zhongfu Ye (CoRR, 2023)

Attention-based advantage actor-critic algorithm with prioritized experience replay for complex 2-D robotic motion planning. - Chengmin Zhou; Bingding Huang; Haseeb Hassan; Pasi Fränti (J. Intell. Manuf., 2023)

Label-efficient Multi-organ Segmentation Method with Diffusion Model. - Yongzhi Huang; Jinxin Zhu; Haseeb Hassan; Liyilei Su; Jingyu Li; Bingding Huang (CoRR, 2024)

NanoLAS: a comprehensive nanobody database with data integration, consolidation and application. - Shuchang Xiong; Zhengwen Liu; Xin Yi; Kai Liu; Bingding Huang; Xin Wang 168 (Database J. Biol. Databases Curation, 2024)

Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images. - Chengmin Zhou; Liyilei Su; Tiegong Wang; Jinxing Gao; Jing Li; Jun Liu; Zongzhou Ye; Xiaoming Zhai; Weiguo Xie; Chengwei Shao; Bingding Huang (Biomed. Signal Process. Control., 2024)

Representation Learning and Reinforcement Learning for Dynamic Complex Motion Planning System. - Chengmin Zhou; Bingding Huang; Pasi Fränti (IEEE Trans. Neural Networks Learn. Syst., 2024)

NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model. - Shangru Li; Xiangpeng Meng; Rui Li; Bingding Huang; Xin Wang 168 (BMC Bioinform., 2024)

Correction: NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model. - Shangru Li; Xiangpeng Meng; Rui Li; Bingding Huang; Xin Wang 168 (BMC Bioinform., 2024)

BiGAMR-Net: Bidirectional Gated Attention and Multi-scale Residual Network for Polyp Segmentation. - Liuyi Yang; Shao-Chi Pao; Xiaoxing Yang; Rui Li; Lixin Liang; Bingding Huang (ICIC (25), 2025)

Attention-Enhanced Few-Shot Diagnosis of Pathological Myopia and MTM. - Wei Zhang; Haonan Qin; Xiujuan Zhao; Yu Lu; Bingding Huang; Zhicheng Dong; Caifen Wang (ICIC (16), 2025)

A review of breast cancer histopathology image analysis with deep learning: Challenges, innovations, and clinical integration. - Inayatul Haq; Zheng Gong; Haomin Liang; Wei Zhang; Rashid Khan; Lei Gu; Roland Eils; Yan Kang; Bingding Huang (Image Vis. Comput., 2025)

Comprehensive 3D Analysis of the Renal System and Stones: Segmenting and Registering Non-Contrast and Contrast Computed Tomography Images. - Zhuo Chen; Chuda Xiao; Yang Liu; Haseeb Hassan; Dan Li; Jun Liu; Haoyu Li; Weiguo Xie; Wen Zhong; Bingding Huang (Inf. Syst. Frontiers, 2025)

A systematic review for transformer-based long-term series forecasting. - Liyilei Su; Xumin Zuo; Rui Li; Xin Wang 168; Heng Zhao; Bingding Huang (Artif. Intell. Rev., 2025)

JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model. - Qihao Duan; Bingding Huang; Zhenqiao Song; Irina Lehmann; Lei Gu; Roland Eils; Benjamin Wild (CoRR, 2025)