Visualization of Machine Learning Models
Quantize model weights and activations from Float32 to INT8 for model acceleration
[New!] PyTorch1.3 added quantization framework in Nov. 2019. I am now working on it.
The architecture of searched cells
Deploy deep learning models on embeded systems or mobiles devices.
Clustering and representation for NLP, search relevance or recommendation systems.
Work done while interning at MSRA. Submitted a first author paper: Customized Graph Embedding.
Multi-target face recognition system and identity verification system
This part is self taught. The reference material is from the website: https://morvanzhou.github.io and https://github.com/MorvanZhou
Chun-Tsung Program: Approve and initiate the project about Photonic Crystals
("Research on Key Technology of Optical Signal Dynamic Buffer").
Guided by Prof. Chun Jiang
Talents Reserved Program: Silicon photonic devices, fiber communication, etc.
Guided by Prof. Yikai Su
Undergraduate Innovation and Practice Program: Research on Key Technology of Low-orbiting Satellite Mobile Communication System.
Guided by Lianghui Ding
Artificial Intelligence, Machine Learning, Cyberspace Security
Thin Film Transistor, Very Large Scale Integration Circuit
FPGA(Field Programmable Gate Array), Embedded system, Web design, etc.
Softwares which I am skilled in
Part of my grades
Hardware: PCB Design, LCD.
Software: Embebded-System, FPGA, WIFI.