Solid mathematical foundation and programming skills. Quickly master new software packages and hardware technologies. Have research and working experience on deep learning & artificial intelligence.
Bachelor of Science: Eletrical Engineering Stanford University - Stanford, CA
Bachelor of Science: Physics Peking University - Beijing
Recipient of Undergraduate Reasearch Award(2015), Sumitomo Scholarship(2013), Weiming Scholarship(2013,2014), Social Work Award(2013)
09/2016 to 12/2016
Course ProjectsStanford – Stanford, CA
CS221 Artificial Intelligence: Deep Q-learning/ Q-learning agent for a
scrolling shooter game.(Highest Score Project) I realized a Deep
Q-learning platform on caffe.
CS229 Machine Learning: Vehicle detection and model recognition. Used
Faster-RCNN for car detection and feature extraction. Applied KNN for
03/2016 to 08/2016
R&D Engineer(intern)SenseTime – Beijing
Built a training system for Xiaomi on-line face recognition
service.To protect users' information, all the images for training are
encrypted. This system decrypted images, cropped out faces and trained
Research on Faster-RCNN and SSD for self-driving
car(traffic signs and small objects detection). Improved the Mean
Average Precision by about 20%.
09/2015 to 02/2016
Research assistant, Advosor Prof. Yizhou WangLab of Video Technology, School of EECS – Peking University, Beijing, China
Directly learned an end-to-end deep deconvolution neural network
between low/hight-resolution images to achieve image
Used fast R-CNN to achieve cars detection in aerial and satellite images.
Build a Bidirectional Recurrent Convolution Network for Multi-Frame Super-Resolution.
06/2014 to 08/2014
Research Assistant, Advisor Pro. Constance Chang-hasnainDepartment of EECS, University of California, Berkeley – Berkeley, CA
Simulation and analyzed the mode in the Nano-laser grown on silicon substrate
Designed the cavity to achieve high Q factor and high coupling efficiency to the output waveguide
Caffe, Tensorflow, OpenCV, Shell scripting
Research Capacity: 4 publications (2 first authored) in EE field
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Companies Worked For:
Lab of Video Technology, School of EECS
Department of EECS, University of California, Berkeley
Job Titles Held:
Research assistant, Advosor Prof. Yizhou Wang
Research Assistant, Advisor Pro. Constance Chang-hasnain
Bachelor of Science : Eletrical Engineering Bachelor of Science : Physics
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