Bingding Huang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 27

Top Topics

Computed Tomography Images

Organ Segmentation

Motion Planning

Top Venues

J. Intell. Manuf.

Comput. Methods Programs Biomed.

Publications

Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Liyilei Su, Jingyu Li, Bingding Huang
Label-efficient Multi-organ Segmentation Method with Diffusion Model. CoRR (2024)
Shangru Li, Xiangpeng Meng, Rui Li, Bingding Huang, Xin Wang
NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model. BMC Bioinform. 25 (1) (2024)
Chengmin Zhou, Bingding Huang, Pasi Fränti
Representation Learning and Reinforcement Learning for Dynamic Complex Motion Planning System. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Chengmin Zhou, Liyilei Su, Tiegong Wang, Jinxing Gao, Jing Li, Jun Liu, Zongzhou Ye, Xiaoming Zhai, Weiguo Xie, Chengwei Shao, Bingding Huang
Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images. Biomed. Signal Process. Control. 87 (Part B) (2024)
Shangru Li, Xiangpeng Meng, Rui Li, Bingding Huang, Xin Wang
Correction: NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model. BMC Bioinform. 25 (1) (2024)
Shuchang Xiong, Zhengwen Liu, Xin Yi, Kai Liu, Bingding Huang, Xin Wang
NanoLAS: a comprehensive nanobody database with data integration, consolidation and application. Database J. Biol. Databases Curation 2024 (2024)
Chengmin Zhou, Bingding Huang, Haseeb Hassan, Pasi Fränti
Attention-based advantage actor-critic algorithm with prioritized experience replay for complex 2-D robotic motion planning. J. Intell. Manuf. 34 (1) (2023)
Chengmin Zhou, Chao Wang, Haseeb Hassan, Himat Shah, Bingding Huang, Pasi Fränti
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review. CoRR (2023)
Ruyun Ruan, Shoujin Huang, Liyilei Su, Rashid Khan, Bingding Huang
Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods. AAIA (2023)
Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang
A Systematic Review for Transformer-based Long-term Series Forecasting. CoRR (2023)
Chengmin Zhou, Xin Lu, Jiapeng Dai, Bingding Huang, Xiaoxu Liu, Pasi Fränti
Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning. CoRR (2023)
Hanwen Zhang, Yongzhi Huang, Bingding Huang
Two-Stage Training for Abdominal Pan-Cancer Segmentation in Weak Label. FLARE@MICCAI (2023)
Rashid Khan, Bingding Huang, Haseeb Hassan, Asim Zaman, Zhongfu Ye
A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation. CoRR (2023)
Jiapeng Dai, Xiaoxing Yang, Bingding Huang, Xiaofen Lu
A Framework based on Deep Neural Network for Ranking-oriented Software Defect Prediction. QRS (2023)
Haseeb Hassan, Pranshu Mishra, Muhammad Ahmad, Ali Kashif Bashir, Bingding Huang, Bin Luo
Effects of haze and dehazing on deep learning-based vision models. Appl. Intell. 52 (14) (2022)
Yongzhi Huang, Hanwen Zhang, Yan Yan, Haseeb Hassan, Bingding Huang
3D Cross Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentation. CoRR (2022)
Haseeb Hassan, Zhaoyu Ren, Huishi Zhao, Shoujin Huang, Dan Li, Shaohua Xiang, Yan Kang, Sifan Chen, Bingding Huang
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks. Comput. Biol. Medicine 141 (2022)
YuanKe Pan, Jinxin Zhu, Bingding Huang
Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy. FLARE@MICCAI (2022)
Haseeb Hassan, Zhaoyu Ren, Chengmin Zhou, Muazzam Ali Khan Khattak, Yi Pan, Jian Zhao, Bingding Huang
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review. Comput. Methods Programs Biomed. 218 (2022)
Huajie Wen, Jian Zhao, Shaohua Xiang, Lin Lin, Chengjian Liu, Tao Wang, Lin An, Lixin Liang, Bingding Huang
Towards more efficient ophthalmic disease classification and lesion location via convolution transformer. Comput. Methods Programs Biomed. 220 (2022)
Chengmin Zhou, Bingding Huang, Pasi Fränti
A review of motion planning algorithms for intelligent robots. J. Intell. Manuf. 33 (2) (2022)
Dan Li, Zhuo Chen, Haseeb Hassan, Weiguo Xie, Bingding Huang
A Cascaded 3D Segmentation Model for Renal Enhanced CT Images. KiTS@MICCAI (2021)
Chengmin Zhou, Bingding Huang, Pasi Fränti
A review of motion planning algorithms for intelligent robotics. CoRR (2021)
Chengmin Zhou, Bingding Huang, Pasi Fränti
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios. CoRR (2021)
Chuda Xiao, Haseeb Hassan, Bingding Huang
Contrast-Enhanced CT Renal Tumor Segmentation. KiTS@MICCAI (2021)
Yongzhe Ren, Yang Zhang, Dandan Wang, Fengying Liu, Ying Fu, Shaohua Xiang, Li Su, Jiancheng Li, Heng Dai, Bingding Huang
SinoDuplex: An Improved Duplex Sequencing Approach to Detect Low-frequency Variants in Plasma cfDNA Samples. Genom. Proteom. Bioinform. 18 (1) (2020)
Linfang Jin, Jinhuo Lai, Yang Zhang, Ying Fu, Shuhang Wang, Heng Dai, Bingding Huang
BreakID: genomics breakpoints identification to detect gene fusion events using discordant pairs and split reads. Bioinform. 35 (16) (2019)
Jing-Na Si, Zengming Zhang, Biaoyang Lin, Michael Schroeder, Bingding Huang
MetaDBSite: a meta approach to improve protein DNA-binding sites prediction. BMC Syst. Biol. 5 (S-1) (2011)
Zengming Zhang, Yu Li, Biaoyang Lin, Michael Schroeder, Bingding Huang
Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction. Bioinform. 27 (15) (2011)
Bingding Huang, Michael Schroeder
Using residue propensities and tightness of fit to improve rigid-body protein-docking. German Conference on Bioinformatics (2005)