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ORCIDJian Zhou 0012
Person information
- affiliation: Arizona State University, SECEE, Tempe, USA
Other persons with the same name
- Jian Zhou — disambiguation page
- Jian Zhou 0001 — Southeast University, Laboratory of Image Science and Technology, Nanjing, China (and 3 more)
- Jian Zhou 0002
![[0000-0002-9672-7276]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9672-7276")
— University of Ulsan, Graduate School of Electrical Engineering, South Korea - Jian Zhou 0003 — Shanghai University, School of Management, China (and 1 more)
- Jian Zhou 0004 — Huazhong University of Science & Technology, Wuhan National Laboratory for Optoelectronics, China (and 1 more)
- Jian Zhou 0005 — University of Science and Technology of China, Department of Precision Machinery & Precision Instrum., Hefei, China
- Jian Zhou 0006 — Anhui University, Institute of Media Computing, Hefei, China
- Jian Zhou 0007 — Central South University, School of Resources and Safety Engineering, Changsha, China
- Jian Zhou 0008 — Hohai University, School of Earth Sciences and Engineering, Nanjing, China
- Jian Zhou 0009 — Nanjing University of Posts and Telecommunications, College of Computer, China (and 1 more)
- Jian Zhou 0010 — Rutgers University, Department of Industrial and Systems Engineering, Piscataway, NJ, USA
- Jian Zhou 0011 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
- Jian Zhou 0013 — Fudan University, Shanghai, China
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2020 – today
- 2022
[c6]Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti:
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data. SiPS 2022: 1-6- [i1]Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti:
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data. CoRR abs/2208.08795 (2022) - 2021
- [j3]Jian Zhou, Sumit K. Mandal, Brendan L. West, Siyuan Wei, Ümit Y. Ogras, Oliver D. Kripfgans, J. Brian Fowlkes, Thomas F. Wenisch, Chaitali Chakrabarti:
Front-End Architecture Design for Low-Complexity 3-D Ultrasound Imaging Based on Synthetic Aperture Sequential Beamforming. IEEE Trans. Very Large Scale Integr. Syst. 29(2): 333-346 (2021) - 2020
- [j2]Brendan L. West, Jian Zhou, Ronald G. Dreslinski, Oliver D. Kripfgans, J. Brian Fowlkes, Chaitali Chakrabarti, Thomas F. Wenisch:
Tetris: Using Software/Hardware Co-Design to Enable Handheld, Physics-Limited 3D Plane-Wave Ultrasound Imaging. IEEE Trans. Computers 69(8): 1209-1220 (2020) - [j1]Jian Zhou, Antonia Papandreou-Suppappola, Chaitali Chakrabarti:
Parallel Gibbs Sampler for Wavelet-Based Bayesian Compressive Sensing with High Reconstruction Accuracy. J. Signal Process. Syst. 92(10): 1101-1114 (2020) - [c5]A. Soorishetty, Jian Zhou, Subhankar Pal, David T. Blaauw, H. Kim, Trevor N. Mudge, Ronald G. Dreslinski, Chaitali Chakrabarti:
Accelerating Linear Algebra Kernels on a Massively Parallel Reconfigurable Architecture. ICASSP 2020: 1558-1562 - [c4]Yan Xiong, Jian Zhou, Subhankar Pal, David T. Blaauw, Hun-Seok Kim, Trevor N. Mudge, Ronald G. Dreslinski, Chaitali Chakrabarti:
Accelerating Deep Neural Network Computation on a Low Power Reconfigurable Architecture. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [b1]Jian Zhou:
Algorithm and Hardware Design for High Volume Rate 3-D Medical Ultrasound Imaging. Arizona State University, Tempe, USA, 2019 - [c3]Brendan L. West, Jian Zhou, Ronald G. Dreslinski, J. Brian Fowlkes, Oliver Kripfgans, Chaitali Chakrabarti, Thomas F. Wenisch:
Tetris: A Streaming Accelerator for Physics-Limited 3D Plane-Wave Ultrasound Imaging. DAC 2019: 189 - 2018
- [c2]Jian Zhou, Chaitali Chakrabarti:
Parallel Wavelet-based Bayesian Compressive Sensing based on Gibbs Sampling. SiPS 2018: 140-145 - 2016
- [c1]Jian Zhou, Siyuan Wei, Richard Sampson, Ming Yang, Rungroj Jintamethasawat, Oliver D. Kripfgans, J. Brian Fowlkes, Thomas F. Wenisch, Chaitali Chakrabarti:
Low Complexity 3D Ultrasound Imaging Using Synthetic Aperture Sequential Beamforming. SiPS 2016: 33-38
Coauthor Index
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