About me

       Dr. Xiaoyang Li (Rebecca) joined Adobe Research as a Machine Learning Research Engineer in 2021. She completed her Ph.D. at the University of Houston in large-scale medical image processing, supervised by Dr. Badri Roysam. She has established a track record of publications in the top-tier journals (Nature Communications, etc.) and AI conferences (NIPS, MICCAI, etc.) in Deep Learning, Machine Learning, and Computer Vision. Herdiverse professional domain experiences cover creative image generations, medical image processing, self-driving car, and Oil & Gas.

      She is the main contributor to cross-library image augmentation module “Beacon-aug” at Adobe Research.

Research interests: Image Generation ,Image Augmentation, Segmentation, Pixel Inpainting, Object Detection/Classification, Compressive Sensing, CNN, GANs.

Recent Activities

➤   06/23/2021, Video Chat Representative, CVPR 2021-EXPO, Adobe Virtual Booth [Conference]

➤   02/10/2021, Alumni Career Panel, IEEE ETA KAPPA NU Epsilon Epsilon Chapter [Agenda]

➤   12/4/2020, Phd Thesis Defense: “Annotation-Free Deep Learning of Large-Scale Nuclear Segmentation and Spatial Neighborhood Analysis on Multiplexed Fluorescence Images” [Video]

➤   11/18/2020, “What Next after Ph.D.?”, IEEE EMB Houston Chapter & the UH BRAIN Center, Panelist [Agenda] [Video]