Wenhan Xia

PhD student Electrical and Computer Engineering, Princeton University E-mail: wxia@princeton.edu

About me

I am a PhD candidate at Princeton University. I am a receipient of the Gordon Wu Fellowship and NSF Graduate Research Fellowship. Before Princeton, I received B.S. (Summa Cum Laude) in Electrical and Computer Engineering from Cornell University in 2019.

Research

My research interests lie in online optimization and efficient deep learning.

Preprints

1. Zhou Lu, Wenhan Xia, Sanjeev Arora, and Elad Hazan, "Adaptive Gradient Methods with Local Guarantees".[pdf]

Publications

1. Daniel Suo, Naman Agarwal, Wenhan Xia, Xinyi Chen, Udaya Ghai, Alexander Yu, Paula Gradu, Karan Singh, Cyril Zhang, Edgar Minasyan, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, and Elad Hazan, "Machine Learning for Mechanical Ventilation Control", in Machine Learning for Health (ML4H) 2021. [pdf]

2. Wenhan Xia, Hongxu Yin, Xiaoliang Dai, and Niraj K Jha, "Fully Dynamic Inference with Deep Neural Networks", in IEEE Transactions on Emerging Topics in Computing 2020. [pdf]

3. Wenhan Xia, Hongxu Yin, and Niraj K Jha, " Efficient Synthesis of Compact Deep Neural Networks ", in 57th ACM/IEEE Design Automation Conference (DAC) 2020. [pdf]