Zhuoli Ouyang

Junior Undergraduate, Dept. of Electrical and Electronic Engineering, Southern University of Science and Technology (SUSTech)

oyzl2004@gmail.com

ouyangzl2023@mail.sustech.edu.cn

Zhuoli.Ouyang@dartmouth.edu

I am a third-year undergraduate at SUSTech, majoring in Electrical and Electronic Engineering. I began in the Fields Elite Honor Class at the Department of Mathematics, where early immersion in rigorous proof and foundational theory fundamentally shaped my research philosophy.

I am dedicated to revitalizing centuries of profound mathematical brilliance within the AI era. Rather than chasing empirical efficiency alone, my mission is to bridge the legacy of classical theory with the frontiers of modern intelligence — grounding AI in rigorous, enduring paradigms and opening new theoretical insights.

I believe the most powerful AI systems will be those that stand on the shoulders of centuries of profound theoretical legacy. My approach centers on the rigorous rethinking of mathematical structures — prioritizing clarity and depth over sheer scale — and translating abstract mathematical elegance into actionable frameworks that offer both transparency and enduring performance.

I am currently seeking PhD positions (2027 Fall). Feel free to reach out!


Awards & Honors

  • ALT 2026 Best Student Paper Award
  • ISIT 2026 Strong Accept
  • DATE 2026 Oral Paper
  • Fields Elite Honor Class (Top 1%), SUSTech
  • Rank 4/46 in EEE, Top 7% overall (GPA 3.94/4.00 last year)

news

May 13, 2026 Our paper RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization is accepted at ICML 2026! (co-first author) [arXiv]
May 12, 2026 Our paper Understanding Generalization from Embedding Dimension and Distributional Convergence is accepted at ICML 2026! (co-first author) [arXiv]
Feb 01, 2026 Our paper Suspicious Alignment of SGD: A Fine-Grained Step Size Condition Analysis received the Best Student Paper Award at ALT 2026! [arXiv]
Jan 15, 2026 Our paper Depth, Not Data: An Analysis of Hessian Spectral Bifurcation is accepted at ISIT 2026 (Strong Accept)! (co-first author) [arXiv]
Jan 10, 2026 Our paper Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation is accepted at ICLR 2026! [OpenReview]
Nov 15, 2025 Our paper ACEMARL: Adaptive Clustering Enhanced Multi-Agent Reinforcement Learning for Analog Circuit Sizing is accepted at DATE 2026 as an Oral presentation! [paper]
Sep 20, 2025 Our paper FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing is accepted at AAAI 2026! [paper]

selected publications

  1. ICML
    RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization
    Shenyang Deng*Zhuoli Ouyang*, Tianyu Pang, Zihang Liu, Ruochen Jin, and 2 more authors
    In International Conference on Machine Learning (ICML), 2026
  2. ICML
    Understanding Generalization from Embedding Dimension and Distributional Convergence
    Junjie Yu*Zhuoli Ouyang*, Haotian Deng*, Chen Wei, Wenxiao Ma, and 3 more authors
    In International Conference on Machine Learning (ICML), 2026
  3. ISIT
    Depth, Not Data: An Analysis of Hessian Spectral Bifurcation
    Shenyang Deng*, Boyao Liao*Zhuoli Ouyang*, Tianyu Pang, and Yaoqing Yang
    In IEEE International Symposium on Information Theory (ISIT), 2026
  4. ALT
    Suspicious Alignment of SGD: A Fine-Grained Step Size Condition Analysis
    Shenyang Deng*, Boyao Liao*Zhuoli Ouyang, Tianyu Pang, Minhak Song, and 1 more author
    In Algorithmic Learning Theory (ALT), 2026
  5. ICLR
    Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation
    Changxi Chi, Jun Xia, Yufei Huang, and Zhuoli Ouyang
    In International Conference on Learning Representations (ICLR), 2026
  6. DATE
    ACEMARL: Adaptive Clustering Enhanced Multi-Agent Reinforcement Learning for Analog Circuit Sizing
    Han Wu*, Haoning Jiang*Zhuoli Ouyang, Ziheng Wang, Qi Shen, and 3 more authors
    In Design, Automation & Test in Europe Conference (DATE), 2026
  7. AAAI
    FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing
    Haoning Jiang*, Han Wu*Zhuoli Ouyang, Ziheng Wang, Tinghuan Chen, and 1 more author
    In AAAI Conference on Artificial Intelligence, 2026