Bingding Huang

46 papers C 1Journal 32Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoCo-GAN: CodeBERT-driven collaborative generative adversarial learning for software defect prediction. Softw. Qual. J. Xiaoxing Yang, Liwei Xiao, Jianmin Su, Bingding Huang
2026	J	`jnl`	Deep learning advancements for cardiovascular diseases (CVDs) diagnosis: Imaging modalities, challenges, and future perspectives. Biomed. Signal Process. Control. Inayatul Haq, Haomin Liang, Ke Zeng, Tao Wang, Izhar Uddin, Jielong Lin, Yan Kang, Bingding Huang
2025	J	`jnl`	A review of breast cancer histopathology image analysis with deep learning: Challenges, innovations, and clinical integration. Image Vis. Comput. Inayatul Haq, Zheng Gong, Haomin Liang, Wei Zhang, Rashid Khan, Lei Gu, Roland Eils, Yan Kang, Bingding Huang
2025	J	`jnl`	A systematic review for transformer-based long-term series forecasting. Artif. Intell. Rev. Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang
2025	—	`conf`	Attention-Enhanced Few-Shot Diagnosis of Pathological Myopia and MTM. ICIC (16) Wei Zhang, Haonan Qin, Xiujuan Zhao, Yu Lu, Bingding Huang, Zhicheng Dong, Caifen Wang
2025	—	`conf`	BiGAMR-Net: Bidirectional Gated Attention and Multi-scale Residual Network for Polyp Segmentation. ICIC (25) Liuyi Yang, Shao-Chi Pao, Xiaoxing Yang, Rui Li, Lixin Liang, Bingding Huang
2025	—	`conf`	BioLedger: A Token Incentive-Based Framework for the Secure Sharing of Genetic Data in Consortium Blockchain. BIBM Xin Wang, Ruixuan Lin, Jiaming Tang, Ruisheng Huang, Huankai Chen, Lixin Liang, Bingding Huang
2025	J	`jnl`	Clinical validation of an AI-assisted system for real-time kidney stone detection during flexible ureteroscopic surgery. npj Digit. Medicine Chenfeng Wang, Haomin Liang, Hairui Chen, Rashid Khan, Donglai Shen, Haitao Liu, Dan Shen, Wei Wang, Jianwen Liu, Frédéric Panthier, Min Zhao, Xu Zhang, Bingding Huang, Haixing Mai
2025	J	`jnl`	Comprehensive 3D Analysis of the Renal System and Stones: Segmenting and Registering Non-Contrast and Contrast Computed Tomography Images. Inf. Syst. Frontiers Zhuo Chen, Chuda Xiao, Yang Liu, Haseeb Hassan, Dan Li, Jun Liu, Haoyu Li, Weiguo Xie, Wen Zhong, Bingding Huang
2025	—	`conf`	Diffusion-Based Pre-Training for Label-Efficient Abdominal Multi-Organ Segmentation. BIBM Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Jingyu Li, Liyilei Su, Bingding Huang
2025	—	`conf`	Enhancing Early Detection of Tractional Retinal Lesions in OCT via Self-Supervised Learning. BIBM Wei Zhang, Yu Lu, Han Jiang, Xiujuan Zhao, Qianying Liu, Bingding Huang, Zhaoshun Zhang, Zhicheng Dong, Liyilei Su
2025	J	`jnl`	Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning. Robotics Auton. Syst. Chengmin Zhou, Xin Lu, Jiapeng Dai, Xiaoxu Liu, Bingding Huang, Pasi Fränti
2025	J	`jnl`	JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model. CoRR Qihao Duan, Bingding Huang, Zhenqiao Song, Irina Lehmann, Lei Gu, Roland Eils, Benjamin Wild
2025	—	`conf`	NanoLAS 2.0: A Comprehensive Update on a Nanobody-Focused Platform with Advanced Visualization and Docking Simulation Features. BIBM Xin Wang, Zebiao Zheng, Wei Qin, Kangrui Yu, Yangqi Hong, Yongqi Tang, Tiantai Wang, Lixin Liang, Bingding Huang
2025	J	`jnl`	RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans. Complex Intell. Syst. Rashid Khan, Chao Chen, Asim Zaman, Jiayi Wu, Haixing Mai, Liyilei Su, Yan Kang, Bingding Huang
2025	—	`conf`	SegSAM-3D: Integrating Semantic Point Prompts and Multi-Layer Feature Sampling in SAM for Medical Imaging Segmentation. BIBM Jiayi Wu, Rashid Khan, Haoran Zheng, Liyilei Su, Wei Zhang, Bingding Huang
2024	J	`jnl`	Correction: NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model. BMC Bioinform. Shangru Li, Xiangpeng Meng, Rui Li, Bingding Huang, Xin Wang
2024	J	`jnl`	Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images. Biomed. Signal Process. Control. Chengmin Zhou, Liyilei Su, Tiegong Wang, Jinxing Gao, Jing Li, Jun Liu, Zongzhou Ye, Xiaoming Zhai, Weiguo Xie, Chengwei Shao, Bingding Huang
2024	J	`jnl`	Label-efficient Multi-organ Segmentation Method with Diffusion Model. CoRR Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Liyilei Su, Jingyu Li, Bingding Huang
2024	J	`jnl`	NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model. BMC Bioinform. Shangru Li, Xiangpeng Meng, Rui Li, Bingding Huang, Xin Wang
2024	J	`jnl`	NanoLAS: a comprehensive nanobody database with data integration, consolidation and application. Database J. Biol. Databases Curation Shuchang Xiong, Zhengwen Liu, Xin Yi, Kai Liu, Bingding Huang, Xin Wang
2024	J	`jnl`	Representation Learning and Reinforcement Learning for Dynamic Complex Motion Planning System. IEEE Trans. Neural Networks Learn. Syst. Chengmin Zhou, Bingding Huang, Pasi Fränti
2023	J	`jnl`	A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation. CoRR Rashid Khan, Bingding Huang, Haseeb Hassan, Asim Zaman, Zhongfu Ye
2023	C	`conf`	A Framework based on Deep Neural Network for Ranking-oriented Software Defect Prediction. QRS Jiapeng Dai, Xiaoxing Yang, Bingding Huang, Xiaofen Lu
2023	J	`jnl`	A Systematic Review for Transformer-based Long-term Series Forecasting. CoRR Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang
2023	J	`jnl`	Attention-based advantage actor-critic algorithm with prioritized experience replay for complex 2-D robotic motion planning. J. Intell. Manuf. Chengmin Zhou, Bingding Huang, Haseeb Hassan, Pasi Fränti
2023	J	`jnl`	Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review. CoRR Chengmin Zhou, Chao Wang, Haseeb Hassan, Himat Shah, Bingding Huang, Pasi Fränti
2023	J	`jnl`	Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning. CoRR Chengmin Zhou, Xin Lu, Jiapeng Dai, Bingding Huang, Xiaoxu Liu, Pasi Fränti
2023	—	`conf`	Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods. AAIA Ruyun Ruan, Shoujin Huang, Liyilei Su, Rashid Khan, Bingding Huang
2023	—	`conf`	Two-Stage Training for Abdominal Pan-Cancer Segmentation in Weak Label. FLARE@MICCAI Hanwen Zhang, Yongzhi Huang, Bingding Huang
2022	J	`jnl`	3D Cross Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentation. CoRR Yongzhi Huang, Hanwen Zhang, Yan Yan, Haseeb Hassan, Bingding Huang
2022	J	`jnl`	A review of motion planning algorithms for intelligent robots. J. Intell. Manuf. Chengmin Zhou, Bingding Huang, Pasi Fränti
2022	J	`jnl`	Effects of haze and dehazing on deep learning-based vision models. Appl. Intell. Haseeb Hassan, Pranshu Mishra, Muhammad Ahmad, Ali Kashif Bashir, Bingding Huang, Bin Luo
2022	J	`jnl`	Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks. Comput. Biol. Medicine Haseeb Hassan, Zhaoyu Ren, Huishi Zhao, Shoujin Huang, Dan Li, Shaohua Xiang, Yan Kang, Sifan Chen, Bingding Huang
2022	J	`jnl`	Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review. Comput. Methods Programs Biomed. Haseeb Hassan, Zhaoyu Ren, Chengmin Zhou, Muazzam Ali Khan Khattak, Yi Pan, Jian Zhao, Bingding Huang
2022	J	`jnl`	Towards more efficient ophthalmic disease classification and lesion location via convolution transformer. Comput. Methods Programs Biomed. Huajie Wen, Jian Zhao, Shaohua Xiang, Lin Lin, Chengjian Liu, Tao Wang, Lin An, Lixin Liang, Bingding Huang
2022	—	`conf`	Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy. FLARE@MICCAI YuanKe Pan, Jinxin Zhu, Bingding Huang
2021	—	`conf`	A Cascaded 3D Segmentation Model for Renal Enhanced CT Images. KiTS@MICCAI Dan Li, Zhuo Chen, Haseeb Hassan, Weiguo Xie, Bingding Huang
2021	J	`jnl`	A review of motion planning algorithms for intelligent robotics. CoRR Chengmin Zhou, Bingding Huang, Pasi Fränti
2021	J	`jnl`	An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios. CoRR Chengmin Zhou, Bingding Huang, Pasi Fränti
2021	—	`conf`	Contrast-Enhanced CT Renal Tumor Segmentation. KiTS@MICCAI Chuda Xiao, Haseeb Hassan, Bingding Huang
2020	J	`jnl`	SinoDuplex: An Improved Duplex Sequencing Approach to Detect Low-frequency Variants in Plasma cfDNA Samples. Genom. Proteom. Bioinform. Yongzhe Ren, Yang Zhang, Dandan Wang, Fengying Liu, Ying Fu, Shaohua Xiang, Li Su, Jiancheng Li, Heng Dai, Bingding Huang
2019	J	`jnl`	BreakID: genomics breakpoints identification to detect gene fusion events using discordant pairs and split reads. Bioinform. Linfang Jin, Jinhuo Lai, Yang Zhang, Ying Fu, Shuhang Wang, Heng Dai, Bingding Huang
2011	J	`jnl`	Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction. Bioinform. Zengming Zhang, Yu Li, Biaoyang Lin, Michael Schroeder, Bingding Huang
2011	J	`jnl`	MetaDBSite: a meta approach to improve protein DNA-binding sites prediction. BMC Syst. Biol. Jing-Na Si, Zengming Zhang, Biaoyang Lin, Michael Schroeder, Bingding Huang
2005	—	`conf`	Using residue propensities and tightness of fit to improve rigid-body protein-docking. German Conference on Bioinformatics Bingding Huang, Michael Schroeder