Introduction
Hi! I am Huang Wu, received the master’s degree in statistics from Anqing Normal University. I work on artificial intelligence in education currently. My current research interests include computer vision, human action recognition, and deep learning. You can see my simple academic introduction on [IEEE Xplore].
My research work, papers and related codes during my postgraduate period are hosted on GitHub for your reference.
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You can find all my published papers on GitHub called [KAR_Articles].
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You can find the full source code on GitHub called [KAR_Tools].
Research
My research work mainly has the following 2 innovation points.
1) A method of human motion recognition based on hierarchical strategy is proposed. According to the hierarchical structure of human anatomy and the physical characteristics of human kinematics, combined with the thickness of action granularity, the method can recognize human actions in different layers, extract different motion features and select appropriate classifiers in each layer.
2) A method of human motion recognition based on self selection mechanism is proposed. In the process of classifier construction, in order to eliminate the influence of subjective factors such as human brain experience on classifier selection, an optimal classifier unit is designed, in which the common machine learning classification algorithm is used. Each classifier is trained by data to select the most suitable classifier.
Publications
[1] Accurate Hierarchical Human Actions Recognition from Kinect Skeleton Data
Info: IEEE Access (DOI: 10.1109/ACCESS.2019.2911705, SCI: 000466798900001)
[2] Hierarchical Human Action Recognition with Self-Selection Classifiers via Skeleton Data
Info: Communications in Theoretical Physics (DOI: 10.1088/0253-6102/70/5/633, SCI: 000451760400018)
[3] Human action recognition method based on hierarchical framework via Kinect skeleton data
Info: 2017 International Conference on Machine Learning and Cybernetics (DOI: 10.1109/ICMLC.2017.8107747, EI: 20180904842839)
[4] 基于骨骼数据的人体动作识别方法研究
信息： 安庆师范大学研究生优秀毕业论文
Communications
These are the conferences I attended during my graduate studies, including oral presentations and listening lectures.
| Date | Location | Target | Conference |
|---|---|---|---|
| 2017.7 | Crowne Plaza, Kaizhou, Ningbo | Oral Presentation | The 2017 International Conference on Machine Learning and Cybernetics |
| 2017.7 | University of science and technology of China, Hefei | Listening Lecture | The 6th Summer Course of “Computer Graphics”, University of Science and Technology of China |
| 2017.6 | Lanzhou University, Lanzhou | Listening Lecture | Google teacher training and course construction (Artificial Intelligence) seminar |
| 2017.6 | Zhengzhou University, Zhengzhou | Oral Presentation | The 2017 International Conference on Healthcare Science and Engineering |
| 2017.3 | Beijing University of Aeronautics and Astronautics, Beijing | Listening Lecture | The 2017 national Deep Learning Technology Application Conference |
| 2016.10 | Anqing Normal University, Anqing | Listening Lecture | The 3rd Symposium on Intelligent Perception and Visual Media Computing |
| 2016.7 | University of science and technology of China, Hefei | Listening Lecture | The 5th Summer Course of “Computer Graphics”, University of Science and Technology of China |
| 2016.4 | Anhui University, Hefei | Listening Lecture | The 12th CCF-CV advanced technology and application series report meeting |
Looking forward to more opportunities for learning and presentation…
Slogan
No interest, No progress.
Thanks
- Benyue Su: received the Ph.D. degree from the School of Computer and Information, Hefei University of Technology, China, in 2007. [IEEE Xplore]
- Min Sheng: received the Ph.D. degree from the School of Computer and Information, Hefei University of Technology, China, in 2009. [IEEE Xplore]
- Chuansheng Shen: received the Ph.D. degree from the University of Science and Technology of China, in 2012. [IEEE Xplore]
- Ali Abdullah Yahya: Anqing Normal University, Anqing, China. [IEEE Xplore]