Wei Xu
Computational Scientist, Trustworthy Artifical Intelligence (TAI) Group Lead
Computational Science Initiative | Brookhaven National Lab, Upton, NY, 11973
Email: xuw AT bnl DOT gov
Research Professor
Computer Science Department | Stony Brook University, Stony Brook, NY, 11794
Email: wxu AT cs DOT stonybrook DOT edu
My research interests include but are not limited to Artificial Intelligence/Machine Learning for scientific applications, Explainable and trustworthy AI, Digital Twins, Performance evaluation for classical and quantum computing, and Visual Analytics. Previously I also worked on Virtual Reality, X-ray Imaging and High performance computing for medical and scientific domains.
My current funding resources are DOE's ASCR and SciDAC programs as well as BNL's internal projects (e.g., LDRD and NSLSII).
Latest News
May 2024:
I became the Group Lead for Trustworthy AI (TAI) group of AI Department at CSI/BNL.
Feb 2024:
I presented our workshop paper at AAAI co-held XAI4Sci workshop.
I was the session chair for a Machine Learning session of AAAI24, Vancouver.
Jan 2024: Our paper "Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks," was accepted by ICLR 2024. paper | webpage
Dec 2023:
We have a short explainable AI paper accepted by AAAI co-held XAI4Sci workshop.
Nov 2023:
I was the session chair for the paper session of "Applications of Machine Learning" in SC23, Denver.
I gave a talk about ML/AI for ImPACTS at SciDAC FASTMath All Hands co-held mini-ML workshop.
Oct 2023:
Our TVCG paper was presented at IEEE VIS.
I gave a presentation about ML/AI for ImPACTS at DOE Data Days at LLNL.