Current Project 1
Stereo Deep Optics (RGBD Imaging)
Posts by Collection
portfolio
Current Project 2
Hyperspectral Display 
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
ELEC4544 Artificial Intelligence and Deep Learning
Teacher Assistant of Dr. Evan Y. Peng, EEE Department, HKU, 2024
The course is taught by Dr. Evan Y. Peng, and I was the teaching assistant for this course in the 2023-2024 Sem 2. This course aims at providing students with a basic understanding on artificial intelligence and deep learning technology. The topics to be covered are artificial neural networks, backpropagation, deep auto-encoder, convolutional Neural Network (CNN), recurrent Neural Network (RNN), strategies for training deep architectures, handling overfitting, cross-validation, meta-heuristic searching for parameter tuning.