Hao Dang

According to our database, Hao Dang authored at least 32 papers between 2009 and 2024.

Collaborative distances:

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

2024

PEDNet: A Plain and Efficient Knowledge Distillation Network for Breast Tumor Ultrasound Image Classification.

Tongtong Liu, Yiru Wang, Wenhang Wang, Mengyao Yang, Lan Zhang, Ge Zhang, Hao Dang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

LightBTSeg: A lightweight breast tumor segmentation model using ultrasound images via dual-path joint knowledge distillation.

Hongjiang Guo, Shengwen Wang, Hao Dang, Kangle Xiao, Yaru Yang, Wenpei Liu, Tongtong Liu, Yiying Wan

CoRR, 2023

LVSegNet: A novel deep learning-based framework for left ventricle automatic segmentation using magnetic resonance imaging.

Hao Dang, Miao Li, Xingxiang Tao, Ge Zhang, Xingqun Qi

Comput. Commun., 2023

Lightvessel: Exploring Lightweight Coronary Artery Vessel Segmentation Via Similarity Knowledge Distillation.

Hao Dang, Yuekai Zhang, Xingqun Qi, Wanting Zhou, Muyi Sun

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Probability Loop Closure Detection with Fisher Kernel Framework for Visual SLAM.

Ge Zhang, Qian Zuo, Hao Dang

Proceedings of the Data Science, 2022

2021

Contextual information enhanced convolutional neural networks for retinal vessel segmentation in color fundus images.

Muyi Sun, Kaiqi Li, Xingqun Qi, Hao Dang, Guanhong Zhang

J. Vis. Commun. Image Represent., 2021

PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation.

Zhuojie Wu, Zijian Wang, Wenxuan Zou, Fan Ji, Hao Dang, Wanting Zhou, Muyi Sun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Detection and Identification of Stored-Grain Insects Using Deep Learning: A More Effective Neural Network.

Zhichao Shi, Hao Dang, Zhicai Liu, Xiaoguang Zhou

IEEE Access, 2020

A Deep Biometric Recognition and Diagnosis Network With Residual Learning for Arrhythmia Screening Using Electrocardiogram Recordings.

Hao Dang, Yaru Yue, Danqun Xiong, Xiaoguang Zhou, Xiangdong Xu, Xingxiang Tao

IEEE Access, 2020

Power Spectral Estimation of short-term AF Recordings by Parametric Method Based on AR Model.

Yaru Yue, Hao Dang, Xingxiang Tao, Wei Zhou, Xiaoguang Zhou

Proceedings of the ISAIMS 2020: International Symposium on Artificial Intelligence in Medical Sciences, 2020

Automated detection of atrial fibrillation based on DenseNet using ECG signals.

Xingxiang Tao, Hao Dang, Danqun Xiong, Ruiqing Liu, Dongjie Liu, Fulin Zhou

Proceedings of the ISAIMS 2020: International Symposium on Artificial Intelligence in Medical Sciences, 2020

Product Crowdfunding Default Risk Warning Based on Random Forest Model.

Wenying Han, Hao Dang

Proceedings of the ICMECG 2020: International Conference on Management of e-Commerce and e-Government, 2020

On the Detection of Digital Face Manipulation.

Hao Dang, Feng Liu, Joel Stehouwer, Xiaoming Liu, Anil K. Jain

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Accurate Gastric Cancer Segmentation in Digital Pathology Images Using Deformable Convolution and Multi-Scale Embedding Networks.

Muyi Sun, Guanhong Zhang, Hao Dang, Xingqun Qi, Xiaoguang Zhou, Qing Chang

IEEE Access, 2019

A Novel Deep Arrhythmia-Diagnosis Network for Atrial Fibrillation Classification Using Electrocardiogram Signals.

Hao Dang, Muyi Sun, Guanhong Zhang, Xingqun Qi, Xiaoguang Zhou, Qing Chang

IEEE Access, 2019

BGP-LSChain: An Inter-domain Link State Sharing Framework Based on Blockchain.

Xuyang Ma, Du Xu, Hao Dang

Proceedings of the 2019 International Conference on Blockchain Technology, 2019

2018

Regularization Analysis and Design for Prior-Image-Based X-Ray CT Reconstruction.

Hao Zhang, Grace J. Gang, Hao Dang, J. Webster Stayman

IEEE Trans. Medical Imaging, 2018

Intelligent Modeling Method for a Combined Radiation-Convection Grain Dryer: A Support Vector Regression Algorithm Based on an Improved Particle Swarm Optimization Algorithm.

Aini Dai, Xiaoguang Zhou, Hao Dang, Muyi Sun, Zidan Wu

IEEE Access, 2018

Application of Object Detection Algorithm in Identification of Rice Weevils and Maize Weevils.

Zhicai Liu, Guanhong Zhang, Haiying Yang, Muyi Sun, Hao Dang, Xiaoguang Zhou

Proceedings of the 2018 2nd International Conference on Deep Learning Technologies, 2018

2014

Semantic grasping: planning task-specific stable robotic grasps.

Hao Dang, Peter K. Allen

Auton. Robots, 2014

Stable grasping under pose uncertainty using tactile feedback.

Hao Dang, Peter K. Allen

Auton. Robots, 2014

Program synthesis by examples for object repositioning tasks.

Ashley Feniello, Hao Dang, Stan Birchfield

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013

Stable and Semantic Robotic Grasping Using Tactile Feedback.

Hao Dang

PhD thesis, 2013

Planning complex physical tasks for disaster response with a humanoid robot.

Hao Dang, Youngbum Jun, Paul Y. Oh, Peter K. Allen

Proceedings of the 2013 IEEE Conference on Technologies for Practical Robot Applications, 2013

Grasp adjustment on novel objects using tactile experience from similar local geometry.

Hao Dang, Peter K. Allen

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012

Semantic grasping: Planning robotic grasps functionally suitable for an object manipulation task.

Hao Dang, Peter K. Allen

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Learning grasp stability.

Hao Dang, Peter K. Allen

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Blind grasping: Stable robotic grasping using tactile feedback and hand kinematics.

Hao Dang, Jonathan Weisz, Peter K. Allen

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Robot learning of everyday object manipulations via human demonstration.

Hao Dang, Peter K. Allen

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

Data-driven grasping with partial sensor data.

Corey Goldfeder, Matei T. Ciocarlie, Jaime Peretzman, Hao Dang, Peter K. Allen

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

The Columbia grasp database.

Corey Goldfeder, Matei T. Ciocarlie, Hao Dang, Peter K. Allen

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Functional analysis of finger contact locations during grasping.

Matei T. Ciocarlie, Hao Dang, Jamie Lukos, Marco Santello, Peter K. Allen

Proceedings of the World Haptics 2009, 2009