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Published:
Lack of labeled data for training is such a cliché in the data science and AI field. In data science, only large companies which accumulated sufficient user or machine records bother to research fancy predictive models to obtain a systematic understanding of the patterns with statistical evidence. Regarding AI, the algorithm development was once stuck at a bottleneck until the huge ImageNet dataset was open sourced which led to a blossom of neural network research in computer vision. In NLP, a decent, large go-to training set is still missing. To overcome this issue, researchers made enormous amount of effort in pre-training zero-shot or few-shot large language models from plain text.
Published:
Generating portraits of individuals at different age of their life using CycleGAN, IPCGAN, and Style-Based Regression Model
Published in bioRxiv, 2021
This paper is about pointing out the false assumptions in the Genome-wide sibling analysis method that has been widely used in the field of Genetics study.
Recommended citation: Jason Fletcher, Yuchang Wu, Tianchang Li, Qiongshi Lu. (2021). "Interpreting Polygenic Score Effects in Sibling Analysis." bioRxiv. doi: https://doi.org/10.1101/2021.07.16.452740. http://ltcrazy.github.io/files/PGS-in-sibling-analysis-bioRxiv.pdf
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!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.