Bingding Huang

According to our database, Bingding Huang authored at least 27 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model.

Shangru Li, Xiangpeng Meng, Rui Li, Bingding Huang, Xin Wang

BMC Bioinform., December, 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., January, 2024

NanoLAS: a comprehensive nanobody database with data integration, consolidation and application.

Shuchang Xiong, Zhengwen Liu, Xin Yi, Kai Liu, Bingding Huang, Xin Wang

Database J. Biol. Databases Curation, January, 2024

Label-efficient Multi-organ Segmentation Method with Diffusion Model.

Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Liyilei Su, Jingyu Li, Bingding Huang

CoRR, 2024

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

A Systematic Review for Transformer-based Long-term Series Forecasting.

Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang

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

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

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

A Framework based on Deep Neural Network for Ranking-oriented Software Defect Prediction.

Jiapeng Dai, Xiaoxing Yang, Bingding Huang, Xiaofen Lu

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods.

Ruyun Ruan, Shoujin Huang, Liyilei Su, Rashid Khan, Bingding Huang

Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023

2022

A review of motion planning algorithms for intelligent robots.

Chengmin Zhou, Bingding Huang, Pasi Fränti

J. Intell. Manuf., 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

Towards more efficient ophthalmic disease classification and lesion location via convolution transformer.

Huajie Wen, Jian Zhao, Shaohua Xiang, Lin Lin, Chengjian Liu, Tao Wang, Lin An, Lixin Liang, Bingding Huang

Comput. Methods Programs Biomed., 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, Bingding Huang

Comput. Methods Programs Biomed., 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

Effects of haze and dehazing on deep learning-based vision models.

Haseeb Hassan, Pranshu Mishra, Muhammad Ahmad, Ali Kashif Bashir, Bingding Huang, Bin Luo

Appl. Intell., 2022

Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy.

YuanKe Pan, Jinxin Zhu, Bingding Huang

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

2021

An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios.

Chengmin Zhou, Bingding Huang, Pasi Fränti

CoRR, 2021

A review of motion planning algorithms for intelligent robotics.

Chengmin Zhou, Bingding Huang, Pasi Fränti

CoRR, 2021

Contrast-Enhanced CT Renal Tumor Segmentation.

Chuda Xiao, Haseeb Hassan, Bingding Huang

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021

A Cascaded 3D Segmentation Model for Renal Enhanced CT Images.

Dan Li, Zhuo Chen, Haseeb Hassan, Weiguo Xie, Bingding Huang

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021

2020

SinoDuplex: An Improved Duplex Sequencing Approach to Detect Low-frequency Variants in Plasma cfDNA Samples.

Yongzhe Ren, Yang Zhang, Dandan Wang, Fengying Liu, Ying Fu, Shaohua Xiang, Li Su, Jiancheng Li, Heng Dai, Bingding Huang

Genom. Proteom. Bioinform., 2020

2019

BreakID: genomics breakpoints identification to detect gene fusion events using discordant pairs and split reads.

Linfang Jin, Jinhuo Lai, Yang Zhang, Ying Fu, Shuhang Wang, Heng Dai, Bingding Huang

Bioinform., 2019

2011

MetaDBSite: a meta approach to improve protein DNA-binding sites prediction.

Jing-Na Si, Zengming Zhang, Biaoyang Lin, Michael Schroeder, Bingding Huang

BMC Syst. Biol., 2011

Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction.

Zengming Zhang, Yu Li, Biaoyang Lin, Michael Schroeder, Bingding Huang

Bioinform., 2011

2005

Using residue propensities and tightness of fit to improve rigid-body protein-docking.

Bingding Huang, Michael Schroeder

Proceedings of the German Conference on Bioinformatics (GCB 2005), Hamburg, 2005