R
Richard Zhang
Researcher at Adobe Systems
Publications - 121
Citations - 18522
Richard Zhang is an academic researcher from Adobe Systems. The author has contributed to research in topics: Optimization problem & Computer science. The author has an hindex of 26, co-authored 114 publications receiving 10747 citations. Previous affiliations of Richard Zhang include University of California & University of Illinois at Urbana–Champaign.
Papers
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Journal ArticleDOI
Benchmarked approaches for reconstruction of in vitro cell lineages and in silico models of C. elegans and M. musculus developmental trees.
Wuming Gong,Alejandro A. Granados,Jingyuan Hu,Matthew G. Jones,Matthew G. Jones,Ofir Raz,Irepan Salvador-Martínez,Hanrui Zhang,Ke Huan K. Chow,Il Youp Kwak,Renata Retkute,Alidivinas Prusokas,Augustinas Prusokas,Alex Khodaverdian,Richard Zhang,Suhas Rao,Robert Y. Wang,Phil Rennert,Vangala G. Saipradeep,Naveen Sivadasan,Aditya Rao,Thomas Joseph,Rajgopal Srinivasan,Jiajie Peng,Lu Han,Xuequn Shang,Daniel J. Garry,Thomas Yu,Verena Chung,Michael Mason,Zhandong Liu,Yuanfang Guan,Nir Yosef,Jay Shendure,Maximilian J. Telford,Ehud Shapiro,Michael B. Elowitz,Pablo Meyer +37 more
TL;DR: The DREAM challenge as mentioned in this paper used in-vitro experimental intMEMOIR recordings and in-silico data for a C.elegans lineage tree and a Mus musculus tree of 10,000 cells.
Proceedings Article
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery
TL;DR: It is shown that moderate RIP is not enough to eliminate spurious local minima, so existing results can only hold for near-perfect RIP, and arguments based solely on norm preservation will only be applicable to a narrow set of nearly-isotropic instances.
Posted Content
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery
TL;DR: In this article, the authors show that moderate RIP is not enough to eliminate spurious local minima, so existing results can only hold for near-perfect RIP, and they prove that every x is the spurious local minimum of a rank-1 instance of matrix recovery that satisfies RIP.
Journal ArticleDOI
RadMAP: The Radiological Multi-sensor Analysis Platform
Mark S. Bandstra,Timothy J. Aucott,Erik Brubaker,Daniel H. Chivers,Reynold J. Cooper,Joseph C. Curtis,Joseph C. Curtis,John R. Davis,Tenzing H. Y. Joshi,John Kua,Ross E. Meyer,V. Negut,Michael J. Quinlan,Brian J. Quiter,Shreyas Srinivasan,Avideh Zakhor,Richard Zhang,Kai Vetter,Kai Vetter +18 more
TL;DR: The Radiological Multi-sensor Analysis Platform (RadMAP) as mentioned in this paper is designed to allow the systematic study of natural radiological background variations and to serve as a development platform for emerging concepts in mobile radiation detection and imaging.
Proceedings ArticleDOI
NTIRE 2019 Challenge on Image Colorization: Report
Seungjun Nah,Radu Timofte,Richard Zhang,Maitreya Suin,Kuldeep Purohit,A. N. Rajagopalan,S Athi Narayanan,Jameer Babu Pinjari,Zhiwei Xiong,Zhan Shi,Chang Chen,Dong Liu,Manish Sharma,Megh Makwana,Anuj Badhwar,Ajay Pratap Singh,Avinash Upadhyay,Akkshita Trivedi,Anil Kumar Saini,Santanu Chaudhury,Prasen Kumar Sharma,Priyankar Jain,Arijit Sur,Gokhan Ozbulak +23 more
TL;DR: This paper reviews the NTIRE challenge on image colorization (estimating color information from the corresponding gray image) with focus on proposed solutions and results.