Hasso-Plattner-Institut
Prof. Dr. Tobias Friedrich
 

Xiaoyue Sherry Li

Starting from logging instruments for petroleum engineering, to microcontroller for embedded systems, I lost my heart in heuristic algorithms. Especially metaheuristic algorithm, the one originally invented by engineers but drew attention from theoreticians "struggling" to analyze the behavior rigorously. I am amazed how powerful the algorithm is capable of and willing to dig deep into the potential of building the theorems and proofs via experimental results.

Chair for Algorithm Engineering
Hasso Plattner Institute

Office: K-2.19/20
E-Mail: Xiaoyue.Li(at)hpi.de

Research Interests

  • Metaheuristics algorithms
  • Runtime analsyis via experimental results
  • Black-Box optimization

Educational Background

09/2013-07/2017:Xi’an Shiyou University, China
Measuring and Controlling Techniques and Instruments (B.Eng)
10/2017-07/2021:

Technische Universität Chemniz, Germany

Embedded Systems (M.Sc)

10/2021-present:

Hasso-Plattner-Institut, Universität Potsdam, Potsdam, Germany

Ph.D student, Algorithm Engineering

Publications

[ 2024 ] [ 2023 ] [ 2022 ]

2024 [ nach oben ]

  • Run Time Bounds for Integ... - Download
    Harder, Jonathan Gadea; Kötzing, Timo; Li, Xiaoyue; Radhakrishnan, Aishwarya; Ruff, Janosch Run Time Bounds for Integer-Valued OneMax FunctionsGenetic and Evolutionary Computation Conference (GECCO ’24) 2024
     
  • Algorithm Performance Com... - Download
    Li, Xiaoyue; Kötzing, Timo Algorithm Performance Comparison for Integer-Valued OneMaxGenetic and Evolutionary Computation Conference (GECCO ’24 Companion) 2024: 407–410
     

2023 [ nach oben ]

  • Experimental Analyses of ... - Download
    Li, Xiaoyue; Kötzing, Timo Experimental Analyses of Crossover on JumpGenetic and Evolutionary Computation Conference (GECCO) 2023
     

2022 [ nach oben ]

  • Analysis of a Gray-Box Op... - Download
    Baguley, Samuel; Friedrich, Tobias; Timo, Kötzing; Li, Xiaoyue; Pappik, Marcus; Zeif, Ziena Analysis of a Gray-Box Operator for Vertex CoverGenetic and Evolutionary Computation Conference (GECCO) 2022: 1363–1371