About Me

I am Shumin, I consider myself a researcher and a software engieer. When it comes to research, I think about problems in machine learning, computer vision and also reinforcement learning. Other than the academia, I enjoy programming a lot, competitively or not. Just navigate to the projects section to see what I have done so far.

You can reach out to me here for anything, such as a PhD scholarship opportunity or a job opportunity, or just say hi.

Education

Master of Philosophy(Computer Science)

University of Sydney

In this research master degree, I am working on knowledge distillation on neural networks and Reinforcement Learning

Bachelor of Information Technology(Computer Science)(Honours)

University of Sydney

I was awarded First Class Honours by the University. I also achieved high-distinction(85%) in various courses, including:

Publications

  1. S. Kong and M. Takatsuka, “Hexpo: A vanishing-proof activation function,” in 2017 International Joint Conference on Neural Networks (IJCNN), May 2017, pp. 2562–2567, doi: 10.1109/IJCNN.2017.7966168.
  2. S. Kong, F. Shi, C. Wang, and C. Xu, “Point Cloud Generation From Multiple Angles of Voxel Grids,” IEEE Access, vol. 7, pp. 160436–160448, 2019, doi: 10.1109/ACCESS.2019.2951420.
  3. S. Kong, T. Guo, S. You, and C. Xu, “Learning student networks with few data”, In 34th AAAI Conference on Artificial Intelligence (AAAI) 2020, pp. 4469-4476.
  4. S. Kong, S. You, S. Ma, C. Qian, C. Xu, Multi-agent Reinforced Image Restoration for Multiple Corruption Types, Submitted.
  5. S. He*, S. Kong*, S. You, J. Han, F. Wang, C. Qian, C. Xu, C. Xu, Protecting Face Privacy in Wild Images via Adversarial Rewards, Submitted.

*Equal contribution.

Professional Experience

InsideOut Institute. Sydney, Australia. Apr 2020 - Oct 2020.

Nasdaq Inc. Sydney, Australia. Nov 2018 - Jun 2019.

Google Inc. Sydney, Australia. Nov 2016 - Feb 2017.

Teaching Experience

Projects

Awards