Richard Chen

Head of Trustworthy Computer Vision and Machine Learning, Global Technology Applied Research

Richard Chen joined the Global Technology Applied Research team as Head of Computer Vision. His research focus is to improve computer vision algorithms with respective to algorithmic/computational/label efficiency and privacy/fairness. His work has been published in top-tier conferences, e.g., CVPR, ICCV, NeurIPS, ICLR, etc.

Previously, Chen was a Research Staff Member at the MIT-IBM Watson AI Lab, where his focus was on efficient computer vision, including model architecture design, model pruning, model quantization and adaptive computation. He has also worked on machine learning with fewer labels with cross-domain few-shot learning and transfer learning. He has also worked on architecture/ASIC design for image/video processing/compression, medical image processing, vision-based mobile application design and quantum computing.