Xiao Shou

Biography

I am an Assistant Professor in the Department of Computer Science at Baylor University. Prior to joining Baylor, I was a visiting scholar hosted by Jianxi Gao in the CS department at RPI. I obtained a PhD in Applied Math from Department of Mathematical Sciences, Rensselaer Polytechnic Institute in August 2023, working under the supervision of Kristin Bennett. I have published many paper in top ML conferences, including NeurIPS, AAAI, ICML, CLeaR etc. I have served as a PC member for several international conferences, such as NeurIPS, AAAI, ICML, ICLR, AISTATS etc.

Education

• Ph.D. (Applied Mathematics), RPI, 2023.
• M.S. (Computer Science), RPI, 2023.
• M.S. (Chemistry), Ohio State University, 2014.
• B.A. (Chemistry), (minor in applied math, east asian studies and Japanese), Wittenberg University, 2012.

Research

I am generally interested in machine/deep learning, optimization, and trustworthy AI, with a primary focus on

• Neural Marked Temporal Point Process & Event Sequences;
• Causal Inference & Learning;
• Uncertainty Quantification;
• Neural Network Training and Dynamics;
• Machine Learning for Health.

Awards & Honors

• IBM Research Accomplishment Award 2023 for Graphical Event Models, IBM, 2023.
• RPI-IBM AIRC Fellowship, RPI and IBM, 2020-2023
• Schmidt Science Fellowship Nomination, RPI
• Best Student Paper Award, ACM BCB, 2021