Education background
Beijing University of Posts and Telecommunications （BUPT）
September 2017 - June 2020
Computer Technology | Master | School of Computer Science
Research direction: computer vision, machine learning
Wuhan University of Technology （WHUT）
September 2013 - June 2017
Internet of Things Engineering | Undergraduate | School of Computer Science
professional skill
- Master the basics of machine learning and deep learning, familiar with caffe, tensorflow, pytorch framework
- Master the Python language and be familiar with web application frameworks such as Flask and Django.
- Master Android, Java web application layer development technology
- Familiar with Java, C/C++ language, embedded development, Linux system
Awards
competition
- March 20th Momenta Challenge World Cup
- 2016 Blue Bridge Cup National Finals Grand Prize
- 2016 National Second Prize of the 9th National College Student Computer Design Competition
- Second Prize of 2016 "Technology Digital Cup" Design Competition
- First Prize of the 2015 National University Bio-networking Design Competition in Central and Southwest China
- 2015 TiC100 Smart City and Internet of Things Innovation and Entrepreneurship Competition National Third Prize
- Third Prize of 2015 Wuhan University of Technology Mathematical Modeling Competition
honor
- Wuhan University of Technology 2015-2016 Innovation and Entrepreneurship Advanced Individual, awarded the title of outstanding member of the school
- Wuhan University of Technology National Inspirational Scholarship Winner
- Excellent student of Wuhan University of Technology
- Excellent student cadre of Wuhan University of Technology
intern experience
Baidu September 2017 - February 2018
- Algorithm Assistant | Operations Planning Management Department | Beijing
The User Behavior Research Group is responsible for user behavior analysis of Baidu's daily billion-level search log, and uses machine learning to prevent cheating.
I have finished my work:
The rule matching algorithm is used to complete the behavior cheat cascading judgment and go online, and the spark distributed resource platform and the compass task scheduling system are maintained to ensure the rational use of resources.
Iflytek Co.,Ltd July 2016 - August 2016
- Backstage R&D | Education Business Delivery Department Wuhan
In the project team to complete part of the micro-course platform background development, to ensure that the system is successfully launched
Project experience
Undergraduate
- Design and development of the fall detection system for the elderly: I am the project leader, responsible for the Android side research and development work, responsible for the design and construction of local and cloud servers and databases. Project address: https://github.com/still-wait/FalltestApp.git
- ID card recognition system based on deep learning: complete data set collection, model training, system construction and so on. Project address: https://github.com/still-wait/deepLearning_OCR
Postgraduate stage
- Robot interactive gesture recognition project: using fast-Rcnn + Mobilenet and openpose to complete gesture recognition, human skeleton recognition, etc., and propose application innovations such as interaction with robots, system applications can achieve real-time effects
- Monitoring scene vehicle and pedestrian detection and tracking project: Using the YOLOv3 and deep-sort methods to complete road target detection and tracking. Solve the difficulty of small target recognition, as well as real-time detection and tracking and other technical problems
- Tennis Estimation Project: Using the attitude detection network and detection network to complete the athlete's behavior analysis, including on-the-spot running and motion analysis and detection, heat estimation and tactical strategy estimation, etc.
paper
- Occlusion Resgion Searching and Segmentation for Multi-Human Detection Based on RGB-D Information. IEEE BigMM 2018.