Rui Huang
Senior Machine Learning Algorithm Engineer at Google
[Resume] [Google Scholar] [Github] [LinkedIn]
Email: huangruiwizard AT gmail.com
Biography
I work at Google on researching and developing new AI product experiences with Machine Learning and Computer Vision.
My research interest includes computer vision and machine learning algorithms for 3D Scene Understanding, Representation Learning, Deep Generative Models, and Self-Supervised Learning.
I received my M.S. degree in Electrical and Computer Engineering from Carnegie Mellon University and my B.Eng. degree in Computer Science from China University of Geosciences.
In my free time, I play piano and PlayStation console, collect beautiful keycaps, and raise my Shiba Inu puppy (adding more soon)!
Work:
Nov 2023 - I joined Google Labs as a Senior Machine Learning Algorithm Engineer in Mountain View, CA USA.
Jan 2021 - I joined Apple as a Computer Vision Algorithm Engineer in Cupertino, CA USA! Relocated to Seattle, WA USA in 2022!
July 2019 - I joined Google AI as a Resident in Mountain View CA USA, July 2019!
Jan, 2019 - I interned at Nvidia Research in Santa Clara CA USA, Spring 2019!
May, 2018 - I interned at Mitsubishi Electric Research Laboratories in Boston, USA summer 2018!
Sep. 2017 - I was a graduate assistant at Machine Learning Department CMU, advised by Prof. Katerina Fragkiadaki and earlier at Cylab Mobility Research Center, CMU Silicon Vally, advised by Prof. Bob Iannucci.
Mar, 2017 - I interned at National Laboratory of Pattern Recognition, Chinese Academy of Sciences, advised by Prof. Ran He.
Publication:
Sep 2021 - Our paper "Coupled Segmentation and Edge Learning via Dynamic Graph Propagation" is accepted at NeurIPS 2021, [link][slides]!
Dec 2020 - Tensorflow 3D, a codebase for 3d scene understanding is open sourced on Github. [Google AI blog post] [News 1 2 3]
July 2020 - Our paper "An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds", ECCV 2020. [arXiv][website][short / long video]
Sep 2019 - One paper on self-supervised GAN is accepted at WACV 2020![paper]
2018 - One paper on online training of detector is accepted at AIPR 2018. [paper]
July, 2017 - One paper is accepted at ICCV 2017! "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis" TP-GAN is included in high school textbook and news[1][2][3]. [paper][arXiv][code]
