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2020 – today
- 2024
[j15]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)- [j14]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): 122 (2024) - [j13]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): 190 (2024) - [j12]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): 105505 (2024) - [j11]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): 11049-11063 (2024) - [i8]Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Liyilei Su, Jingyu Li, Bingding Huang:
Label-efficient Multi-organ Segmentation Method with Diffusion Model. CoRR abs/2402.15216 (2024) - 2023
- [j10]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): 151-180 (2023) - [c7]Ruyun Ruan, Shoujin Huang, Liyilei Su, Rashid Khan, Bingding Huang:
Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods. AAIA 2023: 223-228 - [c6]Hanwen Zhang, Yongzhi Huang, Bingding Huang:
Two-Stage Training for Abdominal Pan-Cancer Segmentation in Weak Label. FLARE@MICCAI 2023: 194-208 - [c5]Jiapeng Dai, Xiaoxing Yang, Bingding Huang, Xiaofen Lu:
A Framework based on Deep Neural Network for Ranking-oriented Software Defect Prediction. QRS 2023: 60-71 - [i7]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 abs/2307.08024 (2023) - [i6]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 abs/2309.03758 (2023) - [i5]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 abs/2310.07252 (2023) - [i4]Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang:
A Systematic Review for Transformer-based Long-term Series Forecasting. CoRR abs/2310.20218 (2023) - 2022
- [j9]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): 16334-16352 (2022) - [j8]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: 105123 (2022) - [j7]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: 106731 (2022) - [j6]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: 106832 (2022) - [j5]Chengmin Zhou, Bingding Huang, Pasi Fränti:
A review of motion planning algorithms for intelligent robots. J. Intell. Manuf. 33(2): 387-424 (2022) - [c4]YuanKe Pan, Jinxin Zhu, Bingding Huang:
Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy. FLARE@MICCAI 2022: 11-22 - [i3]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 abs/2209.08939 (2022) - 2021
- [c3]Chuda Xiao, Haseeb Hassan, Bingding Huang:
Contrast-Enhanced CT Renal Tumor Segmentation. KiTS@MICCAI 2021: 116-122 - [c2]Dan Li, Zhuo Chen, Haseeb Hassan, Weiguo Xie, Bingding Huang:
A Cascaded 3D Segmentation Model for Renal Enhanced CT Images. KiTS@MICCAI 2021: 123-128 - [i2]Chengmin Zhou, Bingding Huang, Pasi Fränti:
A review of motion planning algorithms for intelligent robotics. CoRR abs/2102.02376 (2021) - [i1]Chengmin Zhou, Bingding Huang, Pasi Fränti:
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios. CoRR abs/2102.03138 (2021) - 2020
- [j4]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): 81-90 (2020)
2010 – 2019
- 2019
- [j3]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): 2859-2861 (2019) - 2011
- [j2]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): 2083-2088 (2011) - [j1]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): S7 (2011)
2000 – 2009
- 2005
- [c1]Bingding Huang, Michael Schroeder:
Using residue propensities and tightness of fit to improve rigid-body protein-docking. German Conference on Bioinformatics 2005: 159-173
Coauthor Index
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