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I love engineering, mathematics and philosophy. It's all about abstraction, distinguishing and changing point of view. I believe human's future relies on computation. I believe in learning, thinking and hard-working.

Experience

Meta, Software Engineer, Machine Learning, 2025 – now

Synopsys, R&D Engineering, Staff Engineer, 2021 – 2025

Education

Purdue University, PhD, Electronic and Computer Engineering, 2016 – 2021

Xi'an Jiaotong University, BE, Electronic Science and Technology, 2012 – 2016

Patents

  • Li Ding, Ruijing Shen and Chang Yang, “Integrated Circuit Library Characterization with Cross-Cell Timing Arc Binning”, US Patent, filed Oct 31, 2023, pending.

Publication (Journal)

  • Chang Yang and Dan Jiao, “Nested Pseudo Skeleton Approximation Algorithm for Generating ${\cal H}^2$-Matrix Representations of Electrically Large Surface Integral Equations”[pdf], IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 9, pp. 393-402, Oct. 2024.
  • Chang Yang and Dan Jiao, “Algebraic and Fast Nested Construction Method for Generating Rank-Minimized ${\cal H}^2$-Matrix for Solving Electrically Large Surface Integral Equations”[pdf], IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 9, pp. 10-19, Jul. 2024.
  • Chang Yang and Dan Jiao, “Nested Reduction Algorithms for Generating a Rank-Minimized ${\cal H}^2$-Matrix from FMM for Electrically Large Analysis”[pdf], IEEE Transactions on Antennas and Propagation, vol. 69, no. 7, pp. 3945-3956, Jul. 2021.
  • Chang Yang, Tao Jiang, Zheng Liu, Changbiao Li, Huayan Lan, Ruimin Wang and Yanpeng Zhang, “Polarization-dressing time-delayed second-order and fourth- order fluorescence”[pdf], J. Opt. Soc. Am. B 32(7), 1414-1420(2015).

Publication (Conference)

  • Chang Yang and Dan Jiao, “Efficient Analytical Skeleton Approximation for Compressing Electrically Large Integral Operators”[pdf], 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI). IEEE, 2023: 1203-1204.
  • Chang Yang and Dan Jiao, “A Simple and Effective Method for Compressing Electrically Large Integral Operators”[pdf], 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI), 2021: 1101-1102.
  • Chang Yang and Dan Jiao, “Nested Pseudoskeleton Approximation Algorithm for Generating H2-Representation of Electrically Large Surface Integral Operators”[pdf], 2021 International Applied Computational Electromagnetics Society Symposium, 2021 August.
  • Chang Yang and Dan Jiao, “Nested Reduction Algorithm for Generating ${\cal H}^2$-Matrix Representation of Electrically Large Surface Integral Operators from FMM”[pdf], 2020 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting. 2020 July.
  • Chang Yang, Miaomiao Ma and Dan Jiao, “Fast Algorithms for Converting an FMM-Based Representation of Electrically Large Integral Operators to a Minimal-Rank ${\cal H}^2$-Matrix”[pdf], 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting. IEEE, 2019: 1441-1442.
  • Chang Yang and Dan Jiao, “Method for Generating a Minimal-Rank ${\cal H}^2$-Matrix from FMM for Electrically Large Analysis”[pdf], 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2018: 2503-2504.

Awards and Honors

  • Honorable Mention Award in the 2020 IEEE AP-S Student Paper Competition.