About Me
Hi, my name is Xinyue and now I’m a Doctoral Fellowship of Nanjing University of Aeronautics and Astronautics, supervised by Prof. Xiaoyang Tan. I am a programming fan from childhood. My academic research is mainly in the field of Reinforcement Learning. My common technology stack includes Python, Java, Spark etc. In RL, my focus area is Offline RL and XRL, familiar with Gym and D4RL.
Projects
Student Mental Health Analysis with LSTM
http://teboonok.github.io/pdf/ml_proj.pdfA ML course project for predicting participant’s mental health as well as finding relationship between lifestyle and mental well-being.
This is a Second Semester Mini-Project of Machine Learning course, a simple research compare different models in Regression and Classification. The research based on Pytorch toolkit and 8 group of collected mobile data, and preprocessed by Spark. The reporter selected the deep neural network (LSTM) and the random forest model.
Retinopathy Recognition and Segmentation
http://teboonok.github.io/pdf/cv_proj.pdfA CV course project, trying to use U-Net for automatic retinal lesion segmentation in color fundus.
We implement a general approach for automatic retinal lesion segmentation in color fundus image based on deep learning U-Net model . Our network achieves good performance in some cases. But, Our current defects in this task is a little overfitting due to training data is too little, it only contains 54 images with masks. And we think it could be extended by rotate.
Experience
China's well-known ICT company, Fortune Magazine Top 100.
- Special offer
- Design a message system based on Distributed Micro Service.
- Server side development for IPTV system (in Java).
- Global technique support.
- Develop Linux scripts for service Install/Uninstall/Update and Database management (in Bash).
- Lead a DevOps and CI team.
- System load and risk analysis(Zookeeper \& JetMQ).
- Agile team management. New employee training lecturer
Education
Nanjing University of Aeronautics and Astronautics
PhD of Computer Science
2022 - Now
Nanjing University of Aeronautics and Astronautics (NUAA), is an elite, Chinese Ministry of Education Double First Class Discipline University, with Double First Class status in certain disciplines.
As a PhD student in PARNEC (PAttern Recognition and NEural Computing) group, I mainly research on Reinforcement Learning Tasks.
University of New South Wales
Master of Information Technology
2019 - 2021
The University of New South Wales (UNSW) established in 1949, UNSW is a research university, ranked 44th in the world in the 2021 QS World University Rankings. UNSW is ranked top 20 in the world for Law, Accounting and Finance, and 1st in Australia for Mathematics, Engineering and Technology.
My academic plan in UNSW contains a set of advanced topics. The courses provide deep insight and practice in two areas, big data process and machine learning. I chose the following courses,
- Design and Analysis of Algorithm
- Machine Learning and Data Mining
- Computer Vision
- Neural Network and Deep Learning
- Big Data
- Data Warehourse
- Information Retrieval and Web Search
Nanjing University of Aeronautics and Astronautics
BEng Computer Science and Technology
2012 - 2016
Nanjing University of Aeronautics and Astronautics (NUAA), is an elite, Chinese Ministry of Education Double First Class Discipline University, with Double First Class status in certain disciplines.
In four years of undergraduate study, systematically studied the main theoretical courses of computer science. Participated in ACM-ICPC as well as other domestic programming competitions. Before my undergraduate study, I get second prize on National Olympiad in Informatics in Provinces. The thesis topic is: “Active obstacle avoidance for UAVs”
A Little More About Me
Alongside my interests in computer science some of my other interests and hobbies are :
- Tourism
- Photography
- Sports(Cycling & Soccer)
- Diving
- Dota 2
