Mu Yang

Research Assistant

CKIP Lab, Academia Sinica

About

Educational Qualification

Work Experience

  • Research Assistant (2017-Present)
    CKIP Lab, Institute of Information Science, Academia Sinica, Taipei, Taiwan
  • Research Assistant to Professor Weichung Wang (2013-2017)
    WLab, Institute of Applied Mathematical Sciences, National Taiwan University, Taipei, Taiwan
    conducting researches of parallel computing of large-scale hybrid CPU-GPU clusters
  • Research Assistant to Professor Semin Kim (2016)
    Department of Economics, National Taiwan University, Taipei, Taiwan
    conducting researches of ordinal versus cardinal voting rules
  • Internship (2015)
    Thomas J. Watson Research Center, IBM, Yorktown Heights, USA
  • Teaching Assistant (2015-2017)
    National Taiwan University, Taipei, Taiwan
    Software Development for Computational and Data Science, High Performance Computing and Deep Learning, Introduction to Computational & Data Sciences, Introduction to Scientific Computing, Numerical Linear Algebra, Introduction to Computational Mathematics, Computer Programming, Mathematic Software, Calculus

Publications

Presentations

Awards

Project

CosmEL: Cosmetic Entity Linking (2017-Present)

An industrial-academic project with PIXNET. Cosmetics domain entity linking.
My work including data analysis, data preprocessing, programming design, model design, python code implementation.

Integrated Singular Value Decomposition (iSVD) Algorithm (2015-Present)

iSVD is a parallel low-rank approximate singular value decomposition solver using integrated randomized algorithm for multinode systems.
My work including algorithm modifying, programming design, C++ code implementation.

Particle Swarm Stepwise (PaSS) Algorithm (2013-2015)

PaSS is a parallel stochastic search algorithm for information criterion variable selection problems on multinode systems.
My work including programming design, CUDA & C++ code implementation, non-general model developing and implementation.

Hierarchical Schur (HiS) Solver (2015-2016)

HiS is a direct linear solver exploiting the sparse structure of multilevel nested dissection matrix to maximize parallel scalability on multinode GPU clusters.
My work including algorithm modifying, C++ code implementation, matrix structure and operation forming.

Hybrid Hierarchical Schur (hHiS) Solver (2014-2016)

hHiS is a parallel linear system solver for sparse symmetric positive definite matrices using direct/iterative method on each parts of k-way vertex partitioning to maximize parallel scalability on multinode systems.
My work including theoretical researching, algorithm modifying, programming design, C++ code implementation.

Ordinal Versus Cardinal Voting Rules (2016)

A research about the performance and incentive compatibility of voting rules in a Bayesian environment.
My work including numerical analysis and MATLAB code implementation.

N-Body Simulation Using Fast Multipole Method with CUDA GPU (2016)

An n-body simulation using fast multipole method (FMM) with GPU acceleration.
My work including project leading, C++ code implementation, CUDA GPU code implementation, and data structure designing.

Bank Account Management System Project (2015)

A bank account management system.
My work including programming design, data structure developing, C++ code implementation, and team management.

Wonderful Transportation Forming (2013)

A city traffic simulation of pedestrian, vehicle, and public transportation.
My work including programming design, data structure developing, Java code implementation, MATLAB GUI code modifying, and team management.

The Matrix Project (2012)

A linear algebra library implemented with assembly language.
My work including programming design, data structure developing, Intel assembly code & main C code implementation, and team management.

Chess AI Project (2007)

A chess game program with an AI that can defeat me.
My work including programming design, algorithm developing, data structure developing, C & Java code implementation, and Java GUI modifying.

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