Keywords: Deep Learning, Computer Vision, Pytorch
Designed and implemented a learning model based on Generative Adversarial Networks (GANs). Trained the model on two domains of images and generated hybridized images. Supervised by Prof. Richard (Hao) Zhang and Dr. Ali Mahdavi Amiri.
Keywords: Deep Learning, Computer Vision, Computer Graphics, Keras
Worked on LAG (Link Aggregation Group) related projects. Implemented logic that programs LAG configurations on ASIC chips. Selected projects: Acceleration of link aggregation membership updates after linecard hot-swapping events. Revision of link aggregation hashing logic to support a new hashing field.
Keywords: Link aggregation, C++, Python, GDB, PDB
Accepted by ACM Multimedia Systems Conference 2018 (Special Session on Integrative Computer Vision and Multimedia Systems), June 2018.
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Apart from being a CS student, I enjoy cooking Chinese food. My favorites are: 回锅肉 (Twice cooked pork), 红烧排骨 (Braised ribs), and 咖喱鸡 (Curry chicken). I like jogging as well.
I am also interesed in the topics below. Please school me if you happen to know any one of them:
Taken with Prof. Yale Patt after his Summer course Introduction to Computing Systems. The best class I have ever taken in my life.
Taken at UCOSP (Undergraduate Capstone Open Source Projects) code sprint at Mozilla Toronto office. I worked on converting Swift Intermediate Language (SIL) to Common Abstract Syntax Tree (CAst) in WALA. The project is supervised by Prof. Karim Ali from University of Alberta and Dr. Julian Dolby from IBM Watson.
Taken with Andrew Petter, President of Simon Fraser University, at President's honour roll reception.