Youzuo Lin
BIOGRAPHY
My current research focuses on physics-informed machine learning, deep learning, computational methods, and their applications in computational imaging, signal and image Analysis. Specifically, I have worked on subsurface imaging for energy exploration, medical imaging and cancer detection, and time series classification for small earthquake detection.
Before joining the staff scientist at LANL, I completed my Ph.D. in Applied and Computational Mathematics at Arizona State University.
News
Sept 2022: NeurIPS 2022. Excited to share our OpenFWI was accepted by #NeurIPS. Great job Chengyuan, Shihang, and everyone contributing to this effort!
July 2022: Congrats to Daniel Manu and the team won the second place in the SIGDA University Demonstration at the 2022 Design Automation Conference (DAC)! Seismic imaging on the edge becomes possible.
May 2022: ICML 2022, our work, InvLINT, was accepted for a short presentation. See here for more details.
May 2022: Invited Talk at SEG Workshop on Data Analytics & Machine Learning for Exploration & Production.
May 2022: Our review paper on physics-informed data-driven seismic inversion work is available.
April 2022: ICLR 2022, Our work on unsupervised seismic imaging was accepted for poster presentation.
March 2022: Check out our book chapter on physics approach to monitor/image CO2 reservoir.
Research
Here are some of my most recent projects. For a full list of research projects and descriptions, see my complete Research Page.
VelocityGAN: Subsurface Velocity Image Estimation Using Conditional Adversarial Networks
DeepDetect: A Cascaded Region-based Densely Connected Network for Seismic Event Detection
Adaptive Filtering for Event Recognition from Noisy Signal: an Application to Earthquake Detection
