Jing is a expert in
Computer Graphics and
Computer Vision. He can speak multiple programming languages, e.g.
Java. He has shipped products on Windows, Linux, macOS, Android, iOS and Xbox.
Jing’s career path is all about
GPU, his experience in GPU ranges from high-level apps like game engine and GPU-accelerated data viz, through mid-level graphics API instrumenting tools, to low-level GPU performance profilers.
Besides being an technical expert, Jing is also an active githuber, a writer and a speaker.
Leader of two distinct teams, mentoring members and planning schedules:
OpenGL) instrumenting tools. Generating real world stimulus and performance data for Tegra BU, Geforce BU and Quadro BU, impacts
GPUdesign, silicon bring-up and competitive analysis.
WebGL-accelerated temporal data viz and
pythonbased data mining frameworks.
Direct3D 9/10/11API tracing tools to post-process the traces, decrease the running time of traces and keep the GPU performances match.
OpenGL-ESAPI tracing tools, including trace capturer, trace-to-cpp converter and trace replayer, covers Windows, Linux and Android.
OpenCVwith flann to support approximate kMeans clustering for Image Retrieval.
OpenGL3D scene graph and animation system for Augmented Reality SDK.
OpenGL-ESparticle system and state-machine based AI system.
OpenCVto recognize the regions of font pixels in a image and extract the bounding boxes, saving weeks of manual efforts.