Liyan Chen
Formerly affiliated Ph.D. Student
My Research Interests lie in Machine Learning and its application in Computer Vision and Natural Language Processing. Beyond using Machine Learning to discover rules and structures already known to us intuitively or empirically, I’m more passionate about developing Machine Learning methods to learn more intricate structures from data. With the incorporation of known facts from Math and Physics, my research focuses on how Machine Learning models can make novel discoveries.
Improving VQA and its Explanations by Comparing Competing Explanations 2021
Jialin Wu, Liyan Chen, Raymond J. Mooney, In The AAAI Conference on Artificial Intelligence (AAAI), Explainable Agency in Artificial Intelligence Workshop, Vol. arXiv:2006.15631, February 2021.
Formerly affiliated with Machine Learning