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# Projects
# uncomment the urls if you wish to display them, and add your own URL
- project: EDDL - Edge distributed deep learning framework
role: Leader
duration: 2018 — Present
# url: "#"
description: A lite-weight c++ written framework(based on Dlib) for distributed neural network training on embedded devices and
mobile phones. With supporting of our implemented runtime profilers, training devices can interconnect in an optimized
network topology under various network environments.
In our last publication, we showed our framework can perform distributed training for diverse neural networks on
resource-limited devices. The EDDL framework also showed well scalability in large amounts of devices.
We are currently working on network optimization on per-batch communication time and overall convergence time.
- project: Edge Courier
role: Leader
duration: 2016 — 2017
# url: "#"
description: A proxy-based protocol for incremental file synchronization and cooperative online document editing. This protocol
supports file hosting services including Google Drive, Dropbox, and OneDrive as well as document collaboration services
such as G Suite and Microsoft 365.
Edge courier can significantly decrease bandwidth consumption for collaborative editing web apps, and also showed
advancement in cloud file storage services.
- project: RTRouting assistant
role: Undergraduate-level student researcher
duration: 2013 — 2014
# url: "#"
description: A real time routing prototype which can guide vehicle to alternative routes with high-volume traffic prediction. The
predicted traffic alert is generated by a pre-trained model learned from history monitored traffics, real time event
warnings and a abnormal traffic prediction model. This project belongs to a urban computing project studied together
by Advance computer application technology engineering research center(Beihang University) and Microsoft Research
Asia(MSRA).