Bingding Huang
Orcid: 0000-0002-4748-2882
According to our database1,
Bingding Huang
authored at least 30 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Correction: NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model.
BMC Bioinform., December, 2024
BMC Bioinform., December, 2024
Representation Learning and Reinforcement Learning for Dynamic Complex Motion Planning System.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images.
Biomed. Signal Process. Control., January, 2024
NanoLAS: a comprehensive nanobody database with data integration, consolidation and application.
Database J. Biol. Databases Curation, January, 2024
2023
Attention-based advantage actor-critic algorithm with prioritized experience replay for complex 2-D robotic motion planning.
J. Intell. Manuf., 2023
A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation.
CoRR, 2023
Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning.
CoRR, 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review.
CoRR, 2023
A Framework based on Deep Neural Network for Ranking-oriented Software Defect Prediction.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023
Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods.
Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023
2022
J. Intell. Manuf., 2022
3D Cross Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentation.
CoRR, 2022
Towards more efficient ophthalmic disease classification and lesion location via convolution transformer.
Comput. Methods Programs Biomed., 2022
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review.
Comput. Methods Programs Biomed., 2022
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks.
Comput. Biol. Medicine, 2022
Appl. Intell., 2022
Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy.
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.
CoRR, 2021
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021
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.
Genom. Proteom. Bioinform., 2020
2019
BreakID: genomics breakpoints identification to detect gene fusion events using discordant pairs and split reads.
Bioinform., 2019
2011
BMC Syst. Biol., 2011
Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction.
Bioinform., 2011
2005
Using residue propensities and tightness of fit to improve rigid-body protein-docking.
Proceedings of the German Conference on Bioinformatics (GCB 2005), Hamburg, 2005