I am a Ph.D. student in the Computer Science department at the Johns Hopkins University in Baltimore, Maryland. I work with Professor Gregory Hager on reinforcement learning for robotics control and Professor Mathias Unberath on computer vision for medical applications. I completed my undergraduate program at the Duke University in Durham, North Carolina with double major in Computer Science & Statistics and worked with Professor Lawrence Carin in deep generative models.
Between Ph.D. and undergrad, I worked at Mckinsey & Company as Business Analyst in Greater China Region, focused on TMT related strategy/management consulting. During undergrad, I also did software enginnering internship at Facebook and research internship at UC Berkeley with Professor Dawn Song and Professor Bo Li.
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin. Accepted by ICML, 2018. Link
Adversarial symmetric variational autoencoder Yuchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin. Accepted by NeuralPS, 2017. Link
Triangle generative adversarial networks Zhe Gan, Liqun Chen, Weiyao Wang, Yuchen Pu, Yizhe Zhang, Lawrence Carin. Accepted by NeuralPS, 2017. Link