Machine learning, data mining, and connected multimedia
Human-machine collaborative systems
Gang Hua is the CTO of
Convenience Bee, and Chief Scientist and Managing Director of its research
institute, Wormpex AI Research. His research focuses on
computer vision, pattern recognition, machine learning, robotics, towards
general Artificial Intelligence, with primary applications in cloud and
edge intelligence, and currently with a focus on new retail intelligence.
Before that, he served in various roles at Microsoft (2015-18) as the
Science/Technical Adviser to the CVP of the Computer Vision Group,
Director of Computer Vision Science Team in Redmond and Taipei ATL, and
Senior Principal Researcher/Research Manager at Microsoft Research . He was an
Associate Professor at Stevens Institute of Technology (2011-15). During
2014-15, he took an on leave and worked on the Amazon-Go project. He was
a Visiting Researcher (2011-14) and a Research Staff Member (2010-11) at
IBM Research T. J. Watson Center, a Senior Researcher (2009-10) at Nokia
Research Center Hollywood, and a Senior Scientist (2006-09) at Microsoft Live
labs Research. He received his Ph.D. degree in ECE from Northwestern
University in 2006. He is an IEEE Fellow, an IAPR Fellow, and an ACM
Distinguished Scientist. He
is the recipient of the 2015 IAPR Young Biometrics Investigator Award. He
has published more than 160 peer reviewed papers in top conferences and
journals. To date, he holds
19 US patents and has 15 more
patents pending. (See
https://www.linkedin.com/in/gang-hua-87aa22a/ for my professional
07/14/2023: Nine papers accepted
by ICCV 2023!
02/27/2023: Four papers accepted
by CVPR 2023!
11/20/2022: Three papers accepted
by AAAI 2023!
07/07/2022: One paper accepted by
07/05/2022: Two papers accepted by
06/29/2022: One paper accepted by
ACM Multimedia 2022!
12/02/2021: Three papers accepted
09/28/2021: One paper accepted by
07/23/2021: Five papers accepted
02/28/2021: Four papers accepted
12/02/2020: Three papers accepted
09/27/2020: One paper accepted by
NeuralIPS2020, congrats to Dongdong Chen and other collaborators!
07/02/2020: Three papers acceted by
ECCV'2020, congratulations to all my collaborators!
02/24/2020: Five papers acceted by
CVPR'2020 -- 18 years of continuous jurney in CVPR!
01/22/2020: Accepted the
invitation to serve as Area Chairs for both ECCV'2020, CVPR'2021,
ACCV'2020, and ICPR'2020.
01/22/2020: One paper accepted by
TPAMI and one paper accepted by IJCV!
11/11/2019: One paper accepted by
TPAMI, one paper accepted by AAAI'2020 and one paper accepted by
07/22/2019: One paper accepted by
ICCV'2019! 12 years of continuous journey in ICCV!
01/30/2019: One paper accepted by
12/15/2018: I have recently joined
Wormpex AI Research to establish a new research group for BianLiFeng
(a fast growing convenience store chain)
11/05/2018: One paper accepted by
IEEE Journal on Selected Topics in Signal Processing and one paper
acceted by AAAI'2019
09/07/2018: Two papers accepted by
T-PAMI and One paper accepted by JMLR
07/09/2018: Four papers accepted
02/23/2018: Three papers accepted
by CVPR'2018 -- 16 years of continuous journey in CVPR!
08/14/2017: Four papers accepted
07/01/2017: One paper accepted by
05/17/2017: I am appointed as one
of the three "Associate Editor in Chief" for the Journal of Computer
Vision and Image Understanding.
moved back to Microsoft headquarter in Redmond.
paper, coauthored with my graduated Ph.D. student Haoxiang Li,
accepted by T-PAMI (on our PEP model)
04/06/2017: 1 paper accepted to
SIGGRAPH! My first SIGGRAPH paper (with Jing, Lu, and Sing Bing on
Bidrectional Image Analogy)
03/22/2017: 6 papers accepted to
.CVPR! My 15 years of continuous journey in CVPR, time flies!
03/22/2017: Area Chairs for
CVPR'17, ACM MM'17, and ICCV'17 -- a busy year.