Bio
Hello! My name is Likang LI. Welcome to my page, I try to make it interesting!🙌
I am currently an PhD student, majoring in Probability and Mathematical Statistics at BNU-HKBU United International College, supervised by
Prof. Jianxin Pan.
I received my first Master degree from Hong Kong Baptist University in 2022 and my Bachelor’s degree from Henan University in 2020.
My research interests focus on Bayesian Deep Learning and Statistical Computing. At the same time, I love to code 💻 and aim to extend my research through code! In life, I love running🏃 and swimming🏊, which makes me free and happy!
✉ me if you want to connect with me for any fun or collaboration! I’m always eager to learn more and expand my horizons!
The image above is the anime version of a photo of my girlfriend and me on China's Guishan Island!
Research Interests
- Bayesian Deep Learning
- Statistical software development
- Statistical Computing
- Medical data analysis
Publications
- **Li, L.**, Author2, and Author3. "Title of the Paper." Journal Name, Year. [PDF] [DOI]
- **Li, L.**, Author2, and Author3. "Title of the Paper." Conference Name, Year. [PDF] [DOI]
- **Li, L.**, Author2, and Author3. "Title of the Paper." Workshop Name, Year. [PDF] [DOI]
Research Projects
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**Project 1:** Bayesian Deep Learning for Healthcare Applications
Description: Investigating the use of Bayesian deep learning techniques to improve diagnostic accuracy in healthcare.
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**Project 2:** Uncertainty Estimation in Large Language Models
Description: Applying Bayesian inference methods to quantify uncertainty in predictions made by large language models.
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**Project 3:** Variational Inference Improvements
Description: Developing new metrics to enhance variational inference performance in Bayesian deep learning models.
Teaching Experience
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**Teaching Assistant:** Bayesian Deep Learning (Spring 2023)
Assisted in developing coursework, grading assignments, and providing additional instructional support.
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**Teaching Assistant:** Machine Learning (Fall 2022)
Supported course instructor with lecture material preparation and guided lab sessions.
Awards & Honors
- XYZ Fellowship for Research Excellence, University of XYZ, 2023
- Best Paper Award, ABC Conference, 2022
- National Scholarship for Outstanding Students, China, 2021
Blog
Understanding Bayesian Deep Learning
April 12, 2024
Bayesian deep learning combines the flexibility of neural networks with the uncertainty modeling of Bayesian inference. In this post, we'll explore the key concepts and how they apply to practical problems.
Read MoreContact
Email: lilikang@uic.edu.cn
GitHub: https://github.com/likangmax