Poster Presentation Information
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Photo from the Fall 2024 final poster session.
Final Results
Best Poster: Residual Kernel Policy Network: Enhancing Stability and Adaptability in RL, Yixian Zhang, Changqing Guo, Yan Huang.
Best Interdisciplinary: Latent Space Disentanglement for Battery Capacity, Lin Su, Haohua Wang.
Most Popular: Neural Network Aided Kalman Filtering Learning Technique, Jiahui Wang, Tao Xu.
When & Where
Time: December 27 9:00am-12:00pm
Location: First floor lobby in International Building A
What to include in the poster?
Abstract: a short summary of your work (no more than 100 words)
Introduction/Motivation: why is this problem important and what is your contribution?
Method: the machine learning methodology used
Results: the dataset you use and the experimental results (tables and figures)
Conclusion/Discussion: conclude your technical/application contributions
Reference: include 2-3 important references (You can use smaller fonts for this part.)
Make your poster more engaging by using color, diagrams and images.
Include an abstract no more than 100 words.
Avoid illegible fonts in size and style.
Use succinct, short sentences and avoid using paragraphs of text on your poster. You can also skip words such as “Figure 1”, “Table 2” in the captions
Make sure diagrams and images are large enough to be viewed from a distance.
Be prepared to answer questions on your research topic.
Poster Awards
You can vote for up to two teams for each of the following awards with special prizes!
Best Poster (1st, 2nd, 3rd)
Best Interdisciplinary (1 team)
Most Popular (1 team)