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Hang Zhang 0010
Person information
- affiliation: Cornell University, School of Electrical and Computer Engineering, Ithaca, NY, USA
- affiliation (former): Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Hang Zhang — disambiguation page
- Hang Zhang 0001 — PLA University of Science and Technology, College of Communications Engineering, Nanjing, China
- Hang Zhang 0002 — University of Göttingen, Institute of Computer Science, Germany
- Hang Zhang 0003 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Hang Zhang 0004 — Wuhan University, School of Resource and Environmental Sciences, China
- Hang Zhang 0005 — Facebook Inc., Menlo Park, CA, USA (and 2 more)
- Hang Zhang 0006 — Xidian University, State Key Laboratory of Integrated Services Network, Xi'an, China (and 1 more)
- Hang Zhang 0007 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Key Laboratory of Systems and Control, Beijing, China
- Hang Zhang 0008 — National University of Defense Technology, Key Laboratory of Information System Engineering, Changsha, China
- Hang Zhang 0009 — Hunan University, State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Changsha, China
- Hang Zhang 0011 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Hang Zhang 0012 — Georgia Institute of Technology, Atlanta, GA, USA (and 1 more)
- Hang Zhang 0013 — Baidu Research, Bellevue, WA, USA (and 1 more)
- Hang Zhang 0014 — Huawei Technologies Canada, Ottawa Research and Development Centre, Ottawa, Canada
- Hang Zhang 0015 — Tianjin Agricultural University, College of Computer and Information Engineering, Tianjin, China
- Hang Zhang 0016 — Liaoning University of Technology, School of Electronics and Information Engineering, Jinzhou, China
- Hang Zhang 0017 — Dalian University of Technology, State Key Laboratory of Coastal and Offshore Engineering, Dalian, China
- Hang Zhang 0018 — Nanyang Technological University, School of Materials Science and Engineering, Singapore (and 1 more)
- Hang Zhang 0019 — Chinese Academy of Sciences, Institute of Electrical Engineering, Key Laboratory of Power Electronics and Electric Drive, Beijing, China
- Hang Zhang 0020 — Kansas State University, Department of Electrical and Computer Engineering, Manhattan, KS, USA
- Hang Zhang 0021 — Shanghai University of Engineering Science, School of Mathematics, Physics and Statistics, Shanghai, China
- Hang Zhang 0022 — University of Science and Technology Beijing, School of Economics and Management, Beijing, China
- Hang Zhang 0023 — Chengdu University of Technology, State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu, China (and 1 more)
- Hang Zhang 0024 — Northwestern Polytechnical University, School of Automation, Shaanxi Key Laboratory of Small & Special Electrical Machine and Drive Technology, Xi'an, China
- Hang Zhang 0025 — Shandong Normal University, School of Physics and Electronics, Shandong Key Laboratory of Medical Physics and Image Processing, Jinan, China
- Hang Zhang 0026 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan National High Magnetic Field Center, Wuhan, China
- Hang Zhang 0027 — Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China
- Hang Zhang 0028 — Peking University, School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Beijing, China (and 1 more)
- Hang Zhang 0029 — Sichuan University, College of Computer Science, Chengdu, China (and 1 more)
- Hang Zhang 0030 — Xi'an Jiaotong University, School of Electrical Engineering, Xi'an, China
- Hang Zhang 0031 — University of Virginia, ECE Department, Charlottesville, VA, USA
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2020 – today
- 2023
- [j3]Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang:
LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping. NeuroImage 268: 119886 (2023) - 2022
- [i9]Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang:
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping. CoRR abs/2211.00725 (2022) - 2021
- [c16]Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Efficient Folded Attention for Medical Image Reconstruction and Segmentation. AAAI 2021: 10868-10876 - [c15]Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation. ISBI 2021: 24-28 - [c14]Jinwei Zhang, Hang Zhang, Chao Li, Pascal Spincemaille, Mert R. Sabuncu, Thanh D. Nguyen, Yi Wang:
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction. MICCAI (6) 2021: 232-242 - [c13]Jinwei Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang:
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping. MIDL 2021: 870-880 - [c12]Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert R. Sabuncu:
Ensembling Low Precision Models for Binary Biomedical Image Segmentation. WACV 2021: 325-334 - [i8]Hang Zhang, Rongguang Wang, Jinwei Zhang, Chao Li, Gufeng Yang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
NeRD: Neural Representation of Distribution for Medical Image Segmentation. CoRR abs/2103.04020 (2021) - [i7]Chao Li, Hang Zhang, Jinwei Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network. CoRR abs/2105.01746 (2021) - 2020
- [j2]Jinwei Zhang, Zhe Liu, Shun Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang:
Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction. NeuroImage 211: 116579 (2020) - [c11]Bentian Jiang, Lixin Liu, Yuzhe Ma, Hang Zhang, Bei Yu, Evangeline F. Y. Young:
Neural-ILT: Migrating ILT to Neural Networks for Mask Printability and Complexity Co-optimization. ICCAD 2020: 20:1-20:9 - [c10]Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI. MLMIR@MICCAI 2020: 91-101 - [c9]Jinwei Zhang, Hang Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping. MIDL 2020: 892-902 - [i6]Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang:
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation. CoRR abs/2002.12470 (2020) - [i5]Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI. CoRR abs/2007.14450 (2020) - [i4]Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation. CoRR abs/2009.05576 (2020) - [i3]Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation. CoRR abs/2009.13755 (2020) - [i2]Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert R. Sabuncu:
Ensembling Low Precision Models for Binary Biomedical Image Segmentation. CoRR abs/2010.08648 (2020)
2010 – 2019
- 2019
- [c8]Bentian Jiang, Hang Zhang, Jinglei Yang, Evangeline F. Y. Young:
A fast machine learning-based mask printability predictor for OPC acceleration. ASP-DAC 2019: 412-419 - [c7]Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang:
RSANet: Recurrent Slice-Wise Attention Network for Multiple Sclerosis Lesion Segmentation. MICCAI (3) 2019: 411-419 - 2018
- [j1]Jie Su, Linbo Qing, Xiaohai He, Hang Zhang, Jing Zhou, Yonghong Peng:
A New Regularized Matrix Discriminant Analysis (R-MDA) Enabled Human-Centered EEG Monitoring Systems. IEEE Access 6: 13911-13920 (2018) - [c6]Steve Dai, Yuan Zhou, Hang Zhang, Ecenur Ustun, Evangeline F. Y. Young, Zhiru Zhang:
Fast and Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learning. FCCM 2018: 129-132 - 2017
- [c5]Gengjie Chen, Jian Kuang, Zhiliang Zeng, Hang Zhang, Evangeline F. Y. Young, Bei Yu:
Minimizing Thermal Gradient and Pumping Power in 3D IC Liquid Cooling Network Design. DAC 2017: 70:1-70:6 - [c4]Hang Zhang, Fengyuan Zhu, Haocheng Li, Evangeline F. Y. Young, Bei Yu:
Bilinear Lithography Hotspot Detection. ISPD 2017: 7-14 - 2016
- [c3]Hang Zhang, Haoyu Yang, Bei Yu, Evangeline F. Y. Young:
VLSI layout hotspot detection based on discriminative feature extraction. APCCAS 2016: 542-545 - [c2]Hang Zhang, Bei Yu, Evangeline F. Y. Young:
Enabling online learning in lithography hotspot detection with information-theoretic feature optimization. ICCAD 2016: 47 - [c1]Chak-Wa Pui, Gengjie Chen, Wing-Kai Chow, Ka-Chun Lam, Jian Kuang, Peishan Tu, Hang Zhang, Evangeline F. Y. Young, Bei Yu:
RippleFPGA: a routability-driven placement for large-scale heterogeneous FPGAs. ICCAD 2016: 67 - [i1]Hang Zhang, Fengyuan Zhu, Shixin Li:
Robust Matrix Regression. CoRR abs/1611.04686 (2016)
Coauthor Index
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