Buyun Liang

Buyun Liang

Incoming Computer and Information Science Ph.D. Student

University of Pennsylvania

Biography

I am an incoming Computer and Information Science Ph.D. student at the University of Pennsylvania, advised by Prof. René Vidal. I am also a M.S. student in the Department of Computer Science & Engineering at the University of Minnesota, Twin Cities, advised by Prof. Ju Sun. My research interests have spanned optimization for AI, trustworthy AI and AI for science.

Prior to this, I obtained my first M.S. degree in Materials Science at the University of Minnesota, Twin Cities, and my B.S. degree from the School of Physics, Nanjing University. Before joining Prof. Ju Sun’s group, I worked as a research assistant in Prof. J. Ilja Siepmann’s computational chemistry group.

Download my Curriculum Vitae .

Interests
  • Optimization for AI
  • Trustworthy AI
  • AI for Science
Education
  • Ph.D. in Computer and Information Science, 2023 -

    University of Pennsylvania, Philadelphia, PA, USA 🇺🇸

  • M.S. in Computer Science, 2020 - 2023

    University of Minnesota, Minneapolis, MN, USA 🇺🇸

  • M.S. in Materials Science, 2018 - 2020

    University of Minnesota, Minneapolis, MN, USA 🇺🇸

  • B.S. in Physics, 2014 - 2018

    Nanjing University, Nanjing, Jiangsu, China 🇨🇳

Recent News

All news »

Upcoming tutorial: Tutorial on Deep Learning with Nontrivial Constraints in the SIAM International Conference on Data Mining (SDM23). (Apr 29, 2023)

Paper release: Proud to release our paper Optimization and Optimizers for Adversarial Robustness on arXiv! We have created the first general-purpose method for evaluating adversarial robustness and challenged the reliability of the existing robustness evaluation and adversarial training frameworks. (Mar 24, 2023)

Paper acceptance: Our paper Implications of Solution Patterns on Adversarial Robustness has been accepted by Computer Vision and Pattern Recognition (CVPR) Workshop of Adversarial Machine Learning on Computer Vision: Art of Robustness! (Mar 22, 2023)

I am thrilled to join Prof. René Vidal’s group as a Computer and Information Science Ph.D. student at the University of Pennsylvania this Fall! (Feb 28, 2023)

Paper acceptance: Our paper Optimization for Robustness Evaluation beyond ℓp Metrics has been accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)! (Feb 16, 2023)

Publications

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(2023). Implications of Solution Patterns on Adversarial Robustness. In Computer Vision and Pattern Recognition (CVPR) Workshop of Adversarial Machine Learning on Computer Vision (Art of Robustness).

Paper

(2022). NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning. In Neural Information Processing Systems (NeurIPS) Workshop on Optimization for Machine Learning (OPT 2022).

Paper Poster

(2022). Optimization for Robustness Evaluation beyond ℓp Metrics. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023) & Neural Information Processing Systems (NeurIPS) Workshop on Optimization for Machine Learning (OPT 2022).

Paper Poster

Software

NCVX PyGRANSO
NCVX (NonConVeX) is a user-friendly and scalable python software package targeting general nonsmooth NCVX problems with nonsmooth constraints.
NCVX PyGRANSO

Powerlifting

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Fall 2022 Mock Competition

Fall 2022 Mock Competition

Body Weight: 77.1kg. Squat: 163.3kg; Bench Press: 115.7kg; Deadlift: 192.8kg. Total 471.7kg.

Summer 2022 Mock Competition

Summer 2022 Mock Competition

Body Weight: 77.3kg. Squat: 154.2kg; Bench Press: 113.4kg; Deadlift: 188.2kg. Total 455.9kg.

2022 USA Powerlifting Minnesota Junior, Open & Master State Championships

2022 USA Powerlifting Minnesota Junior, Open & Master State Championships

Body Weight: 76.35kg. Squat: 157.5kg; Bench Press: 105kg; Deadlift: 180kg. Total 442.5kg.

2018 Raise the Bar -- Powerlifting

2018 Raise the Bar – Powerlifting

Body Weight: 75.3kg. Squat: 165.6kg; Bench Press: 102.1kg; Deadlift: 172.4kg. Total 440kg.

2018 Han Tang Powerlifting (汉唐杯第四届大陆健力纪录赛)

2018 Han Tang Powerlifting (汉唐杯第四届大陆健力纪录赛)

Body Weight: 73.6kg. Squat: 160kg; Bench Press: 95kg; Deadlift: 170kg. Total 425kg.