Bio

Chao Chen has been an assistant professor in the Department of Mathematics at NC State University since 2023. Before that, he was a postdoc in the Oden Institute at The University of Texas at Austin. He was an intern at Nvidia Research in summer 2018, an intern at Center for Computing Research in Sandia National Laboratories for three summers (2015-2017) and an intern at Computational Materials Science Group in Lawrence Livermore National Laboratory in summer 2013.

Area(s) of Expertise

Chao’s research generally focuses on developing efficient algorithms for matrix computations with applications to computational tasks ranging from solving partial differential equations to analyzing large high-dimensional datasets.

Publications

• Adaptive, Matrix-Free Low-Rank Approximation , arXiv (Cornell University) (2026)
• Numerically Stable Cholesky-QR on GPU via Mixed-Precision Randomized Preconditioning , arXiv (Cornell University) (2026)
• Simultaneous Matrix-Free HSS Compression and Factorization with Adaptive Ranks , arXiv (Cornell University) (2026)
• Adaptive Parallelizable Algorithms for Interpolative Decompositions via Partially Pivoted LU , Numerical Linear Algebra with Applications (2025)
• Parallel GPU-Accelerated Randomized Construction of Approximate Cholesky Preconditioners , ArXiv (2025)
• Robust Blockwise Random Pivoting: Fast and Accurate Adaptive Interpolative Decomposition , SIAM Journal on Matrix Analysis and Applications (2025)
• Scalable KNN Graph Construction for Heterogeneous Architectures , ACM Transactions on Parallel Computing (2025)
• A simplified fast multipole method based on strong recursive skeletonization , Journal of Computational Physics (2024)
• An O(N) distributed-memory parallel direct solver for planar integral equations , Proceedings - IEEE International Parallel and Distributed Processing Symposium (2024)
• Efficient algorithms for computing rank‐revealing factorizations on a GPU , Numerical Linear Algebra with Applications (2023)