Jianwei Xiao

Office: 1085 Evans Hall
Email: jwxiao at math.berkeley.edu
Department of Mathematics
University of California at Berkeley
Berkeley, California 94720

About Me:

I am a graduate student in applied mathematics. My advisor is Prof. Ming Gu.
I received my bachelor degree in mathematics from University of Science and Technology of China.
I am interested in randomized matrix algorithms and machine learning.

Experiences:

Research Intern, Caffe2 team, Applied Machine Learning, Facebook (Menlo Park, CA, USA; May 2018 -- August 2018)

Talks:

Matrix Computations and Scientific Computing Seminar, UC Berkeley, Berkeley, CA, USA (December 2015).
Title: Spectrum Revealing Cholesky Factorizations
Abstract

Matrix Computations and Scientific Computing Seminar, UC Berkeley, Berkeley, CA, USA (October 2016).
Title: On Reliability of Randomized QR Factorization with Column Pivoting
Abstract

IEEE International Conference on Data Mining (ICDM), Barcelona, Spain (December 2016).
Title: Spectrum-Revealing Cholesky Factorization for Kernel Methods

Matrix Computations and Scientific Computing Seminar, UC Berkeley, Berkeley, CA, USA (February 2017).
Title: Finite Precision Stability Analysis of Randomized QR Factorization with Column Pivoting
Abstract

ICME Linear Algebra and Optimization Seminar, Stanford University, Stanford, CA, USA (February 2017).
Title: Randomized QR Factorization with Column Pivoting

SIAM Conference on Computational Science and Engineering, Atalanta, GA, USA (March 2017).
Title: Reliable Randomized Spectrum Revealing Matrix Factorizations
Abstract

Scientific and Statistical Computing Seminar, The University of Chicago, Chicago, IL, USA (March 2017).
Title: Randomized QR Factorization with Column Pivoting

CCAM Lunch Seminar, Purdue University, West Lafayette, IN, USA (March 2017).
Title: Randomized QR Factorization with Column Pivoting

IEEE International Conference on High Performance Computing, Data, and Analytics (HIPC), Jaipur, India (December 2017).
Title: Fast Parallel Randomized QR with Column Pivoting Algorithms for Reliable Low-rank Matrix Approximations

Publications:

Spectrum-Revealing Cholesky Factorization for Kernel Methods.
Jianwei Xiao, Ming Gu.
IEEE International Conference on Data Mining (ICDM), Barcelona, Spain, 2016. [PAPER] [ARXIV] [CODE]
Acceptance rate: 19.6%.

Fast Parallel Randomized QR with Column Pivoting Algorithms for Reliable Low-rank Matrix Approximations.
Jianwei Xiao, Ming Gu, Julien Langou.
24th IEEE International Conference on High Performance Computing, Data, and Analytics (HIPC), Jaipur, India, 2017. [PAPER] [ARXIV] [CODE]
Acceptance rate: 22.8%. Awarded the Best Paper prize.

Randomized Complete Pivoting for Solving Symmetric Indefinite Linear Systems.
Yuehua Feng, Jianwei Xiao, Ming Gu.
SIAM Journal on Matrix Analysis and Applications (SIMAX). [PAPER] [ARXIV]

Spatial-Homogeneity of Stable Solutions of Almost-Periodic Parabolic Equations with Concave Nonlinearity.
Yi Wang, Jianwei Xiao, Dun Zhou.
Proceedings of the American Mathematical Society. [ARXIV]

Preprints:

Low-Rank Matrix Approximations with Flip-Flop Spectrum-Revealing QR Factorization.
Yuehua Feng, Jianwei Xiao, Ming Gu.
[ARXIV]

Awards:

James H. Simons Fellowship, Spring 2017
Outstanding Graduate Student Instructor Award, 2017-2018

Teaching:

Courses I have TAed:
Math1B, Spring 2014
Math1B, Fall 2014
Math1B, Spring 2015
Math1B, Fall 2015
Math1B, Spring 2016
Math54, Fall 2016
Math1B, Fall 2017
Math1B, Spring 2018

Courses I have taught:
Math1B, Summer 2015
Math1B, Summer 2016
Math54, Summer 2017