About me
Hi, welcome to my website! I’m Siyue Liu (刘思月), a Ph.D. student at Carnegie Mellon University (CMU) Tepper School of Business. I’m in the Algorithms, Combinatorics and Optimization (ACO) Program. I am very fortunate to work with Professors Gérard Cornuéjols and R. Ravi. I am broadly interested in combinatorial optimization, approximation algorithms, integer programming and nonconvex optimization.
I graduated from Shanghai Jiao Tong University (SJTU) in 2022 with a Bachelor in Economics, where Professor Taotao He guided me to the world of optimization. I visited Professor Ahmad Abdi at London School of Economics (LSE) Math department in 2023 Fall. Besides, I’m grateful to the mentorship and guidence from Professors Christopher Thomas Ryan, Tim Huh and Fatma Kılınç-Karzan and many others along the way.
Publications
Journal Publications
- Convexification Techniques for Fractional Programs
with Taotao He and Mohit Tawarmalani
Mathematical Programming Series A, 2024
Conference Publications
- Approximately Packing Dijoins via Nowhere-Zero Flows
with Gérard Cornuéjols and R. Ravi
Integer Programming and Combinatorial Optimization (IPCO), 2024
Best Paper Award - On the Congruency-Constrained Matroid Base
with Chao Xu
Integer Programming and Combinatorial Optimization (IPCO), 2024
Preprints
- Strongly Connected Orientations and Integer Lattices
with Ahmad Abdi, Gérard Cornuéjols and Olha Silina
ArXiv preprint, 2024 - A Short Proof of Tight Bounds on the Smallest Support Size of Integer Solutions to Linear Equations
with Yatharth Dubey
Accepted to Mathematical Programming Series A with minor revision, 2023
Teachings
TAing
- Integer Programming, Ph.D., CMU, Grader, Spring 2024
- Integer Programming and Combinatorial Optimization, Ph.D., SJTU, Taught recitation, Spring 2022
- Optimization Methods in Economics, Undergrad, SJTU, Taught recitation, Spring 2021
Misc
I’m a martial art practitioner and I’m particularly enthusiastic about Chinese Kung Fu, including but not limited to Wing Chun, Xing Yi and Tai Chi.