Office Info

924 Westwood Blvd., Suite 420, Room P

Wenyuan Li

PhD Student

  • UCLA Electrical and Computer Engineering



Wenyuan is currently a Ph.D student in Electrical and Computer Engineering , University of California, Los Angeles. He is advised by Prof. Corey Arnold and co-advised by Prof. Greg Pottie. His research interests lie in the real-life application of machine learning, especially for healthcare.

Prior to joining MII, he worked in Device Research Laboratory (DRL) and was advised by Prof. Kang L. Wang (ECE, UCLA). There, he studied neuromorphic chips — an electronic version of the human brain, aiming for accelerating computing speeds while maintaining a low-energy cost.



Li W, Wang Z, Yue Y, Li J, Speier W, Zhou M, Arnold CW. Semi-supervised Learning using Adversarial Training with Good and Bad Samples. arXiv preprint arXiv:1910.08540. 2019 Oct 18.

Li W, Wang Z, Li J, Polson J, Speier W, Arnold CW. Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach. arXiv preprint arXiv:1905.06484. 2019 May 16.


Li W, Wang Y, Cai Y, Arnold CW, Zhao E, Yuan Y. Semi-supervised rare disease detection using generative adversarial network. arXiv preprint arXiv:1812.00547. 2018 Dec 3.

Research Projects