Liangliang CaoStaff Research Scientist and Manager, Google
Research Associate Professor (Affiliated) UMass CICS
[Google Scholar], [DBLP], [arXiv]
Liangliang is a staff research scientist and manager in Google AI. Recently he is responsible for deploying the cutting-edge end2end speech models for Google's enterprise customers. He is also interested in computer vision and self-supervised learning. He won the 1st place of ImageNet LSVRC Challenge in 2010. He was a recipient of ACM SIGMM Rising Star Award. In his spare time, he enjoys playing with his son, helping young students, and debugging machine learning algorithms. Here is his (outdated) CV.
- New paper "RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions" [arXiv]
- ICASSP'20 "Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models" [paper]
- MICCAI'19 "3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection" [paper]
- Medium article: Gap between deep learning students and experienced engineers