Bachelor, Beijing Normal Univerity, 2005~2009, EE;

Ph.D., Arizona State University, 2009~2014, CS;

• Sparse learning and face recogniton;
• Multi-task learning and attribute learning;
• Video analysis and motion skill analysis.
• Dissertation and book.

Manager, Facebook, 2019~now

• Lead a team to develop face tracking technology to drive AR/VR products, Facebook App, IG and Messengers.

Founder & CTO, Button, 2018~2019.

• Lead the development of (pharmaceutic and medical device) asset discovery platform;
• Build a team of six engineers and several data scientists with cross-business collaborations;
• Javascript, Mongodb, React, Nature Language Processing, Recommendation System.

Software Engineer, Google, 2016~2018.

• Work on the camera of Google's 2016 and 2017 Pixel Phones;
• Tech lead in video pipeline (stability, power consumption, codec tuning, audio performance);
• Lead the development of hyper-lapse mode of Pixel Camera;
• Contributor of the new camera framework for Pixel 2018;
• Improve Panorama, Photosphere and Refocus modes of Pixel camera;
• Skills: Java, C, Android, JNI, Python, TensorFlow, Convolution neural network.

Staff Software Engineer, Samsung, 2014~2016.

• Lead algorithm and software development for 3D camera (time of flight, ToF);
  • Improve depth quality over noise and motion blur ($5mm$ accuracy within 1 to 5 meter);
  • Optimize the code for real time performance on multiple platforms;
• Research and develop deep learning algorithms;
  • Develop deep learning algorithms for varying tasks, including image recognition, object detection, image quality assessment, image processing, image captioning, speech recongition and machine translation;
  • Optimize deep learning algorithms for mobile platform for better speed and reduced memory footprint, including, sparse pruning, quantization (bit reduction) and compression;
  • Guide the design for Samsung mobile neural processor and identify the hot spot in neural network inference;
  • Rich experience with both convolution neural network and recurrent neural network, and familiar popular deep learning packages, including caffe, Theano (Keras);
• Develop algorithm for high quality multi-frame super-resolution optimized for dynamic scene;
• Several patents pending and papers under review;
• Skills: C, Android (NDK), X86 SSE, ARM NEON, OpenCL, CEVA Vector processing, Python, CUDA, Java, OpenMP, Multi-threading, Socket (TCP/UDP).

Intern, Qualcomm, 2012.

• Algorithm design and development for optical base multi-touch system;
• Winner of 2nd prize in Qualcomm Qtech 2012 and two patents (US20140264034 A1, WO2014158946 A1, US9109949);

Intern, Sharp Laboratory of America, 2011.

• Algorithm design and development for defect detection;
• Algorithm development for template based image matching.
• Codes deployed in commercial products and filed as US patent (US8705839 B2);

Research Assistant, Arizona State Univeristy, 2009~2015.

• Automatically evaluate the motion skills in surgical simulation with tracking-free approaches.

  • Learn discriminative models from relative labels which relaxes the labeling requirement.
  • Capable of extract the temporal dynamics from the video to facilitate the detailed analysis;

• Propose a discriminative dictionary learning algorithm to improve the sparse representation based face recognition system.

  • Reduce the dictionary size without compromising the accuracy.
  • Further reduce the dictionary size and improve the accuracy via learning a decomposition of face images into physically meaningful components;

• Learn multiple classifiers jointly via multi-task learning.

  • Exploit relative labels to abandon the requirement of the tradition labeling.
  • Succeeded in varying applications including motion analysis, image classification and image co-segmentation;

• Build vision-based human-robot interaction in indoor environment

  • Capable of following target-subject in complex environment
  • Interact via vision based gesture recognition in real time;

• Enhance the non-refence image quality assessment via the guidance of visual saliency;