Neural Architecture Search
1st lightweight NAS challenge and moving beyond
is a Bloomberg Distinguished Professor of Cognitive Science and Computer Science at Johns
directs the research group on Compositional Cognition, Vision, and Learning.
He is affiliated with the Center for Brains,
and Machines, and the NSF Expedition in Computing,
Visual Cortex On Silicon. Alan Yuille received the BA degree in
mathematics from the University of
Cambridge in 1976. His PhD on theoretical physics, supervised by Prof. S.W. Hawking,
was approved in
1981. He was a research scientist in the Artificial Intelligence Laboratory at MIT and the Division of Applied
Sciences at Harvard University from 1982 to 1988. He served as an assistant and associate professor at
Harvard until 1996.
He was a senior research scientist at the Smith-Kettlewell Eye Research Institute
from 1996 to 2002. He was a full professor
of Statistics at the University of California, Los Angeles,
as a full professor with joint appointments in computer science,
psychiatry, and psychology.
He moved to Johns Hopkins University in January 2016. His research interests include computational
models of vision, mathematical models of cognition, medical image analysis, and artificial intelligence and neural networks.
is currently a Professor and the Director of the Intelligent Multimedia Technology Laboratory and the Dean
Assistant with the School of Information Science and Engineering, Xiamen University. His research falls in the field of computer
vision and machine learning. He serve as area chair of CVPR 2021, and associate editors in Neurocomputing, Multimedia
Tools and Applications, The Visual Computer, PLOS ONE, Frontiers of ComputerScience etc., guest editors in ACM Transactions
on Intelligent Systems and Technology, IEEE Multimedia Magazine,Signal Processing, Neurocomputing etc., General Chair of
VALSE (Vision And Learning SEminar) 2017,Local/Session/Area Chairs in IEEE MMSP 2015, ACM ICMR 2014, IEEE VCIP 2014,
ACM MMM 2015, IEEE ISM 2015etc. TPC Members in AAAI 2015, CVPR 2013, ICCV 2013, ACM Multimedia 2010-2015 etc.
He have been a SeniorMember of IEEE (2014-now), Senior Member of ACM (2015-now), Chair of VAIG Group for IEEE Multimedia
Communication Technical Committee (MMTC) (2014-2016), Member of ACM, Chair of CCF YOCSEF Xiamen (2016-2017), and
Executive Member of Fujian Association of Artificial Intelligence. He was a recipient of the ACM MultimediaBest Paper Award and
the Best Thesis Award of the Harbin Institute of Technology. He have published 100+ papers intier-1 journal and conferences like
PAMI, IJCV, TIP, CVPR, ICCV, IJCAI, AAAI and ACM Multimedia.
is a research scientist at Google Brain. She has done her graduate studies under supervision of Prof. Fleet at
of Toronto. Prior to that, she graduated from Sharif university of Technology. Sara's research interests are focused
on Machine Learning
and Computer Science. Most notably, she and Prof. Hinton have been working on a next generation of
neural networks called Capsule
Networks. Their work has been reviewed by several media outlets, including a New York
is an Assistant Professor in the Department of Automation at Tsinghua University. Previously, he was apostdoc
researcher in the Department of Computer Science at Cornell University from 2015 to 2018. His researchinterests lie in
machine learning and computer vision, especially deep learning. He has authored about 50 papers ontop-tier journals and
conferences (PAMI, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.), which collect more than
16,000 citations. He is a recipient
of the CVPR Best Paper Award, for the invention of DenseNet.
is a Full Professor in the Department of Computer Science at the University of Texas at Austin where she
leads the UT Computer Vision Group.
esearch is in computer vision and machine learning. She is a Fellow of AAAI, an
Alfred P. Sloan Research Fellow, and a
the Presidential Early Career Award for Scientists and Engineers, the 2013
Computers and Thought Award, and
several best paper
awards. Prof. Grauman serves as Associate Editor-in-Chief for the
IEEE Transactions on Pattern Analysis
and Machine Intelligence.
She was elected to the Academy of Distinguished Teachers
in 2017, and received her B.A. from
Boston College and her Ph.D. from MIT.
Within computer vision and machine learning,
Prof. Grauman's primary interests are
visual recognition, image and video search, video analysis, first-person vision, embodied
and multi-modal perception, and
interactive machine learning.
is Research Scientist Manager at Facebook. He is leading the effort for Mobile Vision team on Efficient Deep
learning for Computer Vision. From 2012-2014, he was a Visiting Assistant Professor in Professor Bernd Girod's group in
Stanford University, Stanford, USA. From September 2007 to January 2012, he was research assistant andPh.D. student in
Professor Ebrahimi's group in Ecole Polytechnique Fédéral de Lausanne (EPFL), Lausanne,Switzerland.
received the first prize of Excellent Student Scholarship from Tsinghua University in 1994 and the Regents Fellowship from
from 1995 to 1996. His PhD research won the David Marr Best Paper Award with S. Soatto, J. Kosecka, and S. Sastry, at the
on Computer Vision (ICCV) in 1999. He also received honorable mention for the Longuet-Higgins Best Paper Award
with R. Vidal at the European
Conference on Computer Vision (ECCV) in 2004, the Sang Uk Lee Best Student Paper Award with his students
Shankar Rao, Hossein Mobahi, and
Allen Yang at the Asian Conference on Computer Vision (ACCV) in 2009, and the second prize of the Best
Paper Award of the IMA Journal on
and Inference in 2015. Yi Ma was the recipient of the Faculty Early Career Development (CAREER)
Award from the National Science
2003. He was also the recipient of the Young Investigator Program (YIP) Award from the
Office of Naval Research (ONR) in 2005.
He received the Gold Star
Award from Microsoft Corporate in 2009 and the Best Research Team of the
Year Award from Microsoft Research Asia in 2012.
He has given over two dozens
of Plenary Talks at international conferences and workshops.
He was on the Incomplete List of Teachers Ranked as Excellent
of the University of Illinois for
Spring'01, Fall'02, and Spring'06. Yi Ma is an IEEE
Fellow since 2013, an ACM Fellow since 2017, and a SIAM Fellow since 2020.
He is ranked the World's
Highly Cited Researchers since 2016 by
Clarivate Analytics of Thomson Reuters and ranked Top 50 of the World's Most Influential
Authors in Computer Science
by Semantic Scholar, reported by Science Magazine in April 2016.
is Lecturer and ARC DECRA Fellow at the School of Computer Science, University of Sydney. He receivedthe Ph.D.
degree from Peking University, China. His research interests lie in machine learning algorithms and relatedapplications in
computer vision. He has published over 80 papers in prestigious journals and top tier conferences,including IEEE T-PAMI,
IEEE T-NNLS, IEEE T-IP, ICML, NIPS, IJCAI and AAAI. He has received several paper awards,including Distinguished Paper
Award in IJCAI 2018. He regularly severed as the (senior) PC member for manyconferences, e.g. NIPS, ICML, CVPR, ICCV,
IJCAI and AAAI. He has been recognized as Top Ten Distinguished SeniorPC Member in IJCAI 2017.