Lead the AWS-AI Foundational Research Team.

- Founding scientist of Amazon Rekognition, an AWS Cloud AI service for large scale visual recognition- Lead a research team since the launch of Rekognition in Re:Invent 2016- Co-lead the algorithm development for intelligent concept/face recognition in Amazon Prime Photos, launched in Oct 2016- Launched Facial Analysis/Recognition and Label Detecton in Dec 2016- Launched Age Estimation and Image Content Moderation in April 2017- Launched Celebrity Recognition in Jun 2017- Launched Text In Image, updated Face Det/Recognition, Content Moderation in Nov 2017- Launched Amazon Rekognition Video for real-time comprehensive video analysis in Re:Invent 2017- Updated Face Recognition APIs in Mar 2018 and Nov 2018, respectively. - Updated face attributes classification (gender, emotion, etc) at 2019- Launched text in video in Nov 2019- Launched Custom labels in Re:Invent 2019

- Core founding member, Orbeus was acquired by Amazon in late 2015, re-branded as Amazon Rekognition- Lead the research in facial/object recognition, large-scale deep learning- Build Rekognition API platform for cloud visual recognition services- Algorithm support for PhotoTime, the first intelligent photo album at the market, half a year ago than Google Photos. It's an iOS APP which can automatically index the faces and up to 3,000 categories of scenes and objects from images across most famous social cloud drives as well as the local album, for the ease of search and organising. Featured by Apple as 'BEST NEW APP'.

- Weakly supervised segmentation based on CNN models

- TA for EE5907 Pattern Recognition, 2012, 2014- TA for EE6901 3D vision, 2012- GA for EE1003 Communication System, 2013- EE2007 Microprocessors, 2011

- Research in Semantic Segmentation and Generic Object Recognition and Deep Learning- Winner of ILSVRC (ImageNet) 2014 detection challenge- Runner-up of ILSVRC 2013 classification challenge- Winner of PASCAL VOC 2012 segmentation challenge- Winner of PASCAL VOC 2012 classification challenge- Reviewer for CVPR/ECCV/BMVC/ICASSP/ICPR/ICIP/TCSVT/MVA, etc.

- Developing computer vision algorithms for some applications, like intelligent photo album, automatic fruit recognition and nail beautification, etc..