Dong Wang (王栋)
I am a master student of computer science at Uppsala University in Sweden. I am interested in deep learning, computer vision, internet-of-things and statistical machine learning . Recently, I focus on following research topics:
- Multimodal deep Learning
- Federated learning
- Internet of Things
- Object detection
- Image segmentation
News
[ Jan. 2021] I start my Master's thesis at Ericsson.
[ Nov. 2020] A paper is submitted to ICME 2021 !
[ June. 2020] SemiFlow: A deep learning framework with auto differentiation and auto shape inference 1.0 is released.
[ May. 2020] End2end model for hand gesture recognition We proposed an end to end deep model for hand gesture recognition and achieved 98.6% accuracy.
Education
| Uppsala University, Sweden | Sept. 2019 - Present |
| Master Student of Computer Science | |
| Thesis: Low latency object detection on the Edge-cloud | Supervisor: Dr. Harald Gustafsson |
| Xi'an University of Science and Technology, China | Sept. 2014 - June. 2018 |
| Bachelor of Engineering in Internet of Things GPA:3.3/4 (Top 4/61) | |
| Thesis: Research on objection detection algorithm based on GAN | Supervisor: Dr. Ass. Prof Li ma |
Work Experience
| Master Thesis Internship, Ericsson | Jan 2021 - present |
| CEO and Founder, Baoji Machine Vision Technology, China | April. 2018- June.2019 |
Publication
| Journal Papers Dong Wang, and Wendi Ji, “NLP-based social IoT service framework: design and implementation”, China Computer & Communication, vol.14, pp.74-77, 2018. |
| Bachelor Thesis Dong Wang. Research on objection detection algorithm based on GAN. Bachelor's thesis, Xi'an University of Science and Technology, Internet of Things, June 2018. |
Patent
Dong Wang, “Intelligent somatosensory navigation device”, China Patent CN206573128U, issued Oct 20, 2017
YouTube: An introduction of Intelligent Somatosensory Navigation Device: Suzaku
Note: This video was taken in 2016 and I am sorry that I only spoke Chinese in this video. But now, I provide English subtitles.
Personal Project
SemiFlow: a deep learning framework
This deep learning framework is a novel keras-style deep learning framework. You can use SemiFlow just like Keras.
- Support auto differentiation and auto shape inference
- Support various layer structures, such as Dense, Conv2D, MaXPooling2D and RNN
- Support several learning methods: SGD, Momentum, and RMSprop
Flower Fairy: a social Internet-of-things application in smart agriculture
- Proposed a framework to control and obtain status of sensors, by tweeting a blog with natural language at social media.
- Implemented a virtual robot named @花仙子 or @Flower Fairy at Weibo, which is a Chinese blog, to get instructions from authorized users and tweet status of farmlands.
- Published a paper NLP-based social IoT service framework: design and implementation
Wireless game controller framework : Design and Implementation
- Implemented a wireless network communication framework for game controllers.
- Proposed a stimulate protocol open for any PC game.
- Developed programs in Raspberry Pi for sensor data collection.
- YouTube: Demo Video for Playing GTAV with raspberry pi
OpenFlight: an open dataset for the international flights and airports in the world
- Contains global airports information and static flight information without real time data.
- Provides name,iata,icao,lat,lon,country and alt of each airport.
- Published at Github
Services
Membership
- [ 2018 - present] CCF student member
- [ 2019 - present] ACM student member
Awards
| Outstanding Thesis Award for undergraduate thesis ranked top 5% | Jun. 2018 |
| Xi'an University of Science and Technology | China |
| 2nd prize in National undergraduates Intelligent Internet Innovation Competition | Jun. 2017 |
| Chinese Institute of Electronics | China |
| Meritorious Winner in 2017 Mathematical Contest in Modeling Contest | April. 2017 |
| Mathematical Contest In Modeling | U.S. |
| 3rd prize in National Mobile Internet Innovation Competition | Oct. 2016 |
| China Institute of Communications | China |
| 3rd prize in National undergraduates Intelligent Internet Innovation Competition | Jun. 2016 |
| Chinese Institute of Electronics | China |
| University Scholarship Honored for good academic performance in each year | 2015-2017 |
| Xi'an University of Science and Technology | China |