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2020 – today
- 2024
[c20]Tongtong Liu, Yiru Wang, Wenhang Wang, Mengyao Yang, Lan Zhang, Ge Zhang, Hao Dang:
PEDNet: A Plain and Efficient Knowledge Distillation Network for Breast Tumor Ultrasound Image Classification. ICIC (5) 2024: 404-415- 2023
- [j10]Hao Dang, Miao Li, Xingxiang Tao, Ge Zhang, Xingqun Qi:
LVSegNet: A novel deep learning-based framework for left ventricle automatic segmentation using magnetic resonance imaging. Comput. Commun. 208: 124-135 (2023) - [c19]Hao Dang, Yuekai Zhang, Xingqun Qi, Wanting Zhou, Muyi Sun:
Lightvessel: Exploring Lightweight Coronary Artery Vessel Segmentation Via Similarity Knowledge Distillation. ICASSP 2023: 1-5 - [i3]Hongjiang Guo, Shengwen Wang, Hao Dang, Kangle Xiao, Yaru Yang, Wenpei Liu, Tongtong Liu, Yiying Wan:
LightBTSeg: A lightweight breast tumor segmentation model using ultrasound images via dual-path joint knowledge distillation. CoRR abs/2311.11086 (2023) - 2022
- [c18]Ge Zhang
, Qian Zuo, Hao Dang:
Probability Loop Closure Detection with Fisher Kernel Framework for Visual SLAM. ICPCSEE (1) 2022: 219-239 - [i2]Hao Dang, Yuekai Zhang, Xingqun Qi, Wanting Zhou, Muyi Sun:
LightVessel: Exploring Lightweight Coronary Artery Vessel Segmentation via Similarity Knowledge Distillation. CoRR abs/2211.00899 (2022) - 2021
- [j9]Muyi Sun, Kaiqi Li, Xingqun Qi, Hao Dang, Guanhong Zhang:
Contextual information enhanced convolutional neural networks for retinal vessel segmentation in color fundus images. J. Vis. Commun. Image Represent. 77: 103134 (2021) - [c17]Zhuojie Wu, Zijian Wang, Wenxuan Zou, Fan Ji, Hao Dang, Wanting Zhou, Muyi Sun:
PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation. BIBM 2021: 1579-1584 - 2020
- [j8]Hao Dang, Yaru Yue, Danqun Xiong, Xiaoguang Zhou, Xiangdong Xu, Xingxiang Tao:
A Deep Biometric Recognition and Diagnosis Network With Residual Learning for Arrhythmia Screening Using Electrocardiogram Recordings. IEEE Access 8: 153436-153454 (2020) - [j7]Zhichao Shi, Hao Dang, Zhicai Liu, Xiaoguang Zhou:
Detection and Identification of Stored-Grain Insects Using Deep Learning: A More Effective Neural Network. IEEE Access 8: 163703-163714 (2020) - [c16]Hao Dang, Feng Liu, Joel Stehouwer, Xiaoming Liu, Anil K. Jain:
On the Detection of Digital Face Manipulation. CVPR 2020: 5780-5789 - [c15]Wenying Han, Hao Dang:
Product Crowdfunding Default Risk Warning Based on Random Forest Model. ICMECG 2020: 99-105 - [c14]Xingxiang Tao, Hao Dang, Danqun Xiong, Ruiqing Liu, Dongjie Liu, Fulin Zhou:
Automated detection of atrial fibrillation based on DenseNet using ECG signals. ISAIMS 2020: 69-73 - [c13]Yaru Yue, Hao Dang, Xingxiang Tao, Wei Zhou, Xiaoguang Zhou:
Power Spectral Estimation of short-term AF Recordings by Parametric Method Based on AR Model. ISAIMS 2020: 112-116
2010 – 2019
- 2019
- [j6]Muyi Sun, Guanhong Zhang, Hao Dang, Xingqun Qi, Xiaoguang Zhou, Qing Chang:
Accurate Gastric Cancer Segmentation in Digital Pathology Images Using Deformable Convolution and Multi-Scale Embedding Networks. IEEE Access 7: 75530-75541 (2019) - [j5]Hao Dang, Muyi Sun, Guanhong Zhang, Xingqun Qi, Xiaoguang Zhou, Qing Chang:
A Novel Deep Arrhythmia-Diagnosis Network for Atrial Fibrillation Classification Using Electrocardiogram Signals. IEEE Access 7: 75577-75590 (2019) - [c12]Xuyang Ma, Du Xu, Hao Dang:
BGP-LSChain: An Inter-domain Link State Sharing Framework Based on Blockchain. ICBCT 2019: 19-23 - [i1]Joel Stehouwer, Hao Dang, Feng Liu, Xiaoming Liu, Anil K. Jain:
On the Detection of Digital Face Manipulation. CoRR abs/1910.01717 (2019) - 2018
- [j4]Aini Dai, Xiaoguang Zhou, Hao Dang, Muyi Sun, Zidan Wu:
Intelligent Modeling Method for a Combined Radiation-Convection Grain Dryer: A Support Vector Regression Algorithm Based on an Improved Particle Swarm Optimization Algorithm. IEEE Access 6: 14285-14297 (2018) - [j3]Hao Zhang, Grace J. Gang, Hao Dang, J. Webster Stayman:
Regularization Analysis and Design for Prior-Image-Based X-Ray CT Reconstruction. IEEE Trans. Medical Imaging 37(12): 2675-2686 (2018) - [c11]Zhicai Liu, Guanhong Zhang, Haiying Yang, Muyi Sun, Hao Dang, Xiaoguang Zhou:
Application of Object Detection Algorithm in Identification of Rice Weevils and Maize Weevils. ICDLT 2018: 76-80 - 2014
- [j2]Hao Dang, Peter K. Allen:
Stable grasping under pose uncertainty using tactile feedback. Auton. Robots 36(4): 309-330 (2014) - [j1]Hao Dang, Peter K. Allen:
Semantic grasping: planning task-specific stable robotic grasps. Auton. Robots 37(3): 301-316 (2014) - [c10]Ashley Feniello, Hao Dang, Stan Birchfield:
Program synthesis by examples for object repositioning tasks. IROS 2014: 4428-4435 - 2013
- [b1]Hao Dang:
Stable and Semantic Robotic Grasping Using Tactile Feedback. Columbia University, USA, 2013 - [c9]Hao Dang, Peter K. Allen:
Grasp adjustment on novel objects using tactile experience from similar local geometry. IROS 2013: 4007-4012 - [c8]Hao Dang, Youngbum Jun, Paul Y. Oh, Peter K. Allen:
Planning complex physical tasks for disaster response with a humanoid robot. TePRA 2013: 1-6 - 2012
- [c7]Hao Dang, Peter K. Allen:
Learning grasp stability. ICRA 2012: 2392-2397 - [c6]Hao Dang, Peter K. Allen:
Semantic grasping: Planning robotic grasps functionally suitable for an object manipulation task. IROS 2012: 1311-1317 - 2011
- [c5]Hao Dang, Jonathan Weisz, Peter K. Allen:
Blind grasping: Stable robotic grasping using tactile feedback and hand kinematics. ICRA 2011: 5917-5922 - 2010
- [c4]Hao Dang, Peter K. Allen:
Robot learning of everyday object manipulations via human demonstration. IROS 2010: 1284-1289
2000 – 2009
- 2009
- [c3]Matei T. Ciocarlie, Hao Dang, Jamie Lukos, Marco Santello, Peter K. Allen:
Functional analysis of finger contact locations during grasping. WHC 2009: 401-405 - [c2]Corey Goldfeder, Matei T. Ciocarlie, Hao Dang, Peter K. Allen:
The Columbia grasp database. ICRA 2009: 1710-1716 - [c1]Corey Goldfeder, Matei T. Ciocarlie, Jaime Peretzman, Hao Dang, Peter K. Allen:
Data-driven grasping with partial sensor data. IROS 2009: 1278-1283
Coauthor Index
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