Haozhe Xie
Research Fellow at Nanyang Technological University Singapore
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolHaozhe Xie is a Research Fellow at MMLab@NTU with 12 years of experience bridging academic rigor and production-grade engineering in computer vision and AIGC. He holds a PhD in Computer Science from Harbin Institute of Technology and has driven research and applied AI at Tencent AI Lab and SenseTime, earning multiple excellence awards and contributing to CVPR/ECCV papers. A hands-on engineer and open-source contributor, he has improved UX for the widely used XX-Net proxy interface and added advanced CV features—like dilated convolution and NMS—to the tiny-dnn C++ framework. With 3k+ Google Scholar citations and strong community presence on StackOverflow and GitHub, he combines deep theoretical insight with pragmatic system-level contributions. Colleagues describe him as someone who turns complex vision models into reproducible code and usable tools that accelerate both research and product teams.
12 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Hangzhou No.14 High SchoolMaster of Engineering - MEng, Computer Science, Top 2%, Master of Engineering - MEng, Computer Science, Top 2% at Harbin Institute of TechnologyBachelor of Engineering - BE, Software Engineering, Top 10%, Bachelor of Engineering - BE, Software Engineering, Top 10% at Hefei University of Technology
Stackoverflow
3,468reputation
625kreached
19answers
26questions
java
top-5%
spring
top-5%
maven
top-5%
Github Skills (27)
javascript10
convolutional-neural-networks10
c-language10
css10
machine-learning10
ui-design10
deep-learning10
neural-network10
html10
computer-vision10
cprogramming-language10
ux-design9
java9
spring9
maven9
Programming languages (21)
Github contributions (5)
XX-net/XX-Net
Apr 2015 - Jan 2017
A proxy tool to bypass GFW.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:36 commits, 30 PRs, 347 comments in 1 year 9 months
Contributions summary:Haozhe primarily focused on refining and improving the user interface (UI) and user experience (UX) of the application's web interface. They made several changes to the HTML, CSS, and JavaScript code, addressing deprecated HTML tags, fixing bugs related to links, and improving the overall layout and design. These efforts included refining configuration pages, deployment pages, and status displays, indicating a focus on enhancing the user's interaction with the proxy tool.
bypass-gfwproxyvpnbypassgfw
tiny-dnn/tiny-dnn
Aug 2018 - Oct 2018
header only, dependency-free deep learning framework in C++14
Role in this project:ML Engineer
ML EngineerContributions:8 commits, 7 PRs, 61 comments in 2 months
Contributions summary:Haozhe primarily contributed to the implementation of new deep learning features within the tiny-dnn framework. Key contributions include the addition of dilation convolution, padding layers, L2 normalization, and non-maximum suppression (NMS). Furthermore, they developed an example demonstrating SSD detection, indicating a focus on computer vision and object detection tasks. The commits also involve bug fixes and improvements to the core framework functionalities.
cppheaderdeep-learningc-plus-plusmachine-learning
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