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愉快搬砖 : )
Highlights
- Pro
Song
songhan
Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing.
MIT, NVIDIA
ArulAravinthan
arul-aravinthan
Hi, I'm Arul! I study Computer Science and Data Science @ UW-Madison
Madison, WI
Shilong Liu
SlongLiu
Ph.D. Student @ CST of Tsinghua University.
Intern @IDEA-Research CVR group.
homepage: lsl.zone
THU | IDEA Beijing | Shenzhen
Yang Zou
yzou2
Sr. Applied Scientist at AWS AI Labs. PhD @ Carnegie Mellon University.
Amazon Web Services
Haotian Zhang
Haotian-Zhang
Research Scientist @ Apple.
Ex-Research Intern @ MSR AI.
Ph.D. candidate @ UW. Be Borderless.
Apple AI/ML Cupertino, CA
Lei Mao
leimao
Artificial Intelligence, Machine Learning, Computer Science.
C , CUDA, Python, CMake.
@NVIDIA Silicon Valley, California
Qiang Wang
blackjack2015
Assistant Professor, Ph.D. in Computer Science, interested in GPU computing, deep learning, 3D Vision
Harbin Institute of Technology (Shenzhen) China
Richard Zhang
richzhang
Research Scientist @adobe | PhD UC Berkeley || Computer vision | deep learning | graphics | machine learning
@adobe San Francisco, CA
Zeqian Li
zeqianli
Senior Bioinformatics Scientist, BillionToOne.
Formerly Seppe Kuehn lab at the University of Chicago
BillionToOne
Arthur, Shihao Wang
wang-shihao
MS in CS@Columbia
Machine Learning Track
Computer Vision | Federated Learning | App Development
Open for Summer 2022 Internships
Columbia University New York, NY, USA