Shanghang Zhang
Postdoctoral Researcher at University of California, Berkeley
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolShanghang Zhang is a postdoctoral researcher at UC Berkeley’s BAIR Lab with nine years of experience applying deep learning to computer vision and reinforcement learning problems. A Carnegie Mellon PhD, she specializes in sample-efficient methods—low-shot learning, domain adaptation, and meta-learning—to enable models that adapt to new cameras, environments, and limited data regimes. Her work spans top venues (NeurIPS, CVPR, ICCV, AAAI) and bridges academic rigor with industry impact from a prior research scientist role at Petuum and an internship at Adobe. Recognized as a 2018 Rising Star in EECS and a Qualcomm Innovation Fellowship finalist, she combines strong systems expertise (FPGA/SOC experience from earlier work) with a persistent focus on practical robustness in real-world visual systems.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Electronic Science and Engineering, Bachelor of Science (B.S.), Electronic Science and Engineering at Southeast UniversityMaster, Electrical and Computer Engineering, 92/100, Master, Electrical and Computer Engineering, 92/100 at Peking UniversityMaster of Science - MS, Machine Learning; Computer Vision; Deep Learning, Master of Science - MS, Machine Learning; Computer Vision; Deep Learning at Carnegie Mellon University
Github Skills (7)
self-attention10
forecasting7
pytorch6
deep-learning6
time-series6
machine-learning5
transformer5
Programming languages (1)
Github contributions (5)
Lotuslisa/WebCamT
Mar 2017 - Jul 2020
Contributions:10 commits, 9 pushes, 1 branch in 3 years 4 months
Lotuslisa/semantic_segmentation
Jul 2017 - Jul 2017
Contributions:1 push, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.