Shuo Xing

Shuo Xing

PhD Student @ Texas A&M University

Shuo Xing

I am a first-year PhD student in Computer Science at Texas A&M University, supervised by Prof. Zhengzhong Tu. I just received my Master of Science degree in Applied Mathematics from Nankai University under the supervision of Professor Peixin Ye. Previously, I received my Bachelor of Science degree at Ningxia University in 2020. From 2022 to 2023, I was a research intern at the Statistics and Machine Learning Research Group, the Hong Kong University of Science and Technology. I am furtunate to have been working closely with Dr. Shizhe Diao (NVIDIA Research) and Rui Pan (HKUST).

Research Interests

  • Natural Language Processing
  • Approximation Theory
  • Machine Learning

News

  • [August 12, 2024] We won a Silver Medal for placing 22nd out of 1849 teams in LMSYS - Chatbot Arena Human Preference Predictions. Thanks to my amazing collaborators!
  • [May 16, 2024] Our Plum paper has been accepted to ACL 2024 Findings. Thanks to all the collaborators.
  • [May 23, 2023] Successfully defended my Master’s thesis titled “The Applications of Greedy Algorithms Based on Redundant Systems”.
  • [March 8, 2023] I will join Texas A&M University as a PhD student in Computer Science in the Fall.
  • [July 4, 2022] Started working as a research intern in the Statistics and Machine Learning Research Group at HKUST.

Education

  • Ph.D. in Computer Science, Texas A&M University, 2023 – 2028 (expected)
  • M.S. in Applied Mathematics, Nankai University, 2020 – 2023
  • B.S. in Mathematics, Ningxia University, 2016 – 2020

Publications

Peer-reviewed Conference & Journal

Rui Pan♦, Shuo Xing♦, Shizhe Diao♦, Wenhe Sun, Xiang Liu, Kashun Shum, Jipeng Zhang, Renjie Pi, and Tong Zhang. "Plum: Prompt Learning using Metaheuristic". In ACL 2024 Findings. [New]

Chunfang Shao, Xiujie Wei, Peixin Ye, and Shuo Xing♠. "Efficiency of Orthogonal Matching Pursuit for Group Sparse Recovery". In Axioms.

Wenhui Zhang, Peixin Ye, and Shuo Xing. "Optimality of the Rescaled Pure Greedy Learning Algorithm". In International Journal of Wavelets, Multiresolution and Information Processing.

Wenhui Zhang, Peixin Ye, Shuo Xing, and Xu Xu. "Optimality of the Approximation and Learning by the Rescaled Pure Super Greedy Algorithms". In Axioms.

Chunfang Shao, Jincai Chang, Peixin Ye, Wenhui Zhang, and Shuo Xing. "Almost Optimality of the Orthogonal Super Greedy Algorithm for $μ$-Coherent Dictionaries". In Axioms.

Preprints

Wenjing Chen, Shuo Xing, Samson Zhou, and Victoria G. Crawford. "Fair Submodular Cover". In arXiv. [New]

Wenjing Chen, Shuo Xing, and Victoria G. Crawford. "A Threshold Greedy Algorithm for Noisy Submodular Maximization". In arXiv.

Note: ♦ indicates equal contribution. ♠ indicates the corresponding author.

Professional Experience

Awards & Honors

  • Outstanding Graduation Thesis, Nankai University, Oct.2023
  • Outstanding Graduates, Nankai University, Apr. 2023
  • First-Class Scholarship (Title Sponsor: HUAWEI), Nankai University, Oct. 2022
  • The 3rd Prize in the 18th “HUAWEI” Cup Post-Graduate Mathematical Contest in Modeling, Dec.2021
  • Outstanding Graduation Thesis, Ningxia University, Jun.2020
  • Outstanding Graduates, Ningxia University, Jun. 2020
  • Honorable Mention in the MCM/ICM, 2018 & 2019
  • National Encouragement Scholarship, Oct. 2018
  • First-Class Scholarship, Ningxia University, 2017, 2018, 2019

Academic Service

  • Journal Reviewer: Journal of Combinatorial Optimization (JOCO)