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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
[ML] Edge Machine Learning for Resource-constrained IoT Devices
In this project, we propose an edge computing solution that enables distributed machine learning on resource constrained IoT devices. We develop a scalable algorithm to automatically dispatch neural networks to edge devices. The design is tested on Raspberry Pis for image classification tasks. 
[ML-Theory] On the Intensity Estimation of Poisson Process
Poisson process plays a fundamental role in the theory and application of stochastic process. However, the intensity estimation of inhomogeneous Poisson process remains difficult. In this project, we compare the performance of three existing estimation methods: smoothing kernel method, Mercer kernel method, and Bayesian method. 
[DL] Introduction to Deep Learning
This is a collection of homework and course projects for CMU 11785: Introduction to Deep Learning (Term: 18 Fall). 
[ML] Pattern Recognition for Brain Waves
Brain waves have been widely used to measure human’s physical and mental activities. With the help of cutting edge machine learning technologies, we successfully detect two activity patterns from EEG signal: blink and concentration.
[Parallel] Parallel and Distributed Computing
This is a collection of parallel and distributed computing projects I did. Levels of parallelism vary from data level SIMD to thread level OpenMP to Spark based map-reduce. 
[OS] Operating Systems and Systems Programming
This is a collection of course projects and homework for Berkeley CS162: Operating Systems and Systems Programming (Term: 17 Spring). 
[DB] Introduction to Database Systems
This is a collection of course projects for Berkeley CS186/286: Introduction to Database Systems (Term: 16 Fall). 
[Security] Computer Security
This is a collection of course projects for Berkeley CS161: Computer Security (Term: 17 Fall). 
[Misc] More projects
For more projects, please visit my GitHub.
publications
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.