About Me

Welcome! I am a first-year Ph.D. student in Computer Science at New York University's Courant Institute, advised by Prof. Sai Qian Zhang. My research interests lie at the intersection of computer architecture and machine learning systems. I focus on Hardware–Software Co-design for Efficient AI. I am passionate about advancing efficient AI across algorithms, architectures, and hardware. Before joining NYU, I had the privilege of working with Prof. Yang (Katie) Zhao at the University of Minnesota, and Prof. Yingyan (Celine) Lin at Georgia Tech.

Education

  • New York University, Courant Institute
    Ph.D. in Computer Science
  • University of Minnesota, Twin Cities
    M.S. in Electrical and Computer Engineering
  • Sichuan University
    B.Eng. in Telecommunications Engineering

Research Interests

  • Efficient AI
  • Hardware-Software Co-design
  • Computer Architecture

News

  • [Jun 2026] [Offer] I will join New York University as a CS PhD student!

Publications & Manuscripts

Architecture

RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction

L. Li*, J. Qin*, P. Jie, Z. Wan, H. Qu, Y. Han, P. Zhen, H. Zhang, Y. Cao, T. Cheng, Y. Zhao

58th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2025

Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR

Z. Ye, Y. Fu, J. Zhang, L. Li, Y. Zhang, S. Li, C. Wan, C. Wan, C. Li, S. Prathipati, Y. Lin

31st IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2025

Algorithm

LipoAgent: Coordinating Fine-Tuned LLM Agents for Safer Lipid Design

L. Li, A. Lu, H. Wang, Z. Feng, C. Duan, Q. Bao, Z. Zhao, S. Q. Zhang

Findings of the Association for Computational Linguistics (ACL Findings), 2026

LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models

H. Wang, Y. Wang, L. Li, Y. Ren, S. Q. Zhang

arXiv preprint, 2026

Pocket-SLAM: Rendering-Area-Aware Pruning for Memory-Efficient 3DGS-SLAM

L. Li, P. Jie, Y. Zhao

International Conference on Robotics and Automation (ICRA), 2026

DSD: A Distributed Speculative Decoding Solution for Edge-Cloud Agile Large Model Serving

L. Li, F. Yu, B. McDanel, S. Q. Zhang

Machine Learning and Systems (MLSys), 2026 (Under Review)

LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering

Z. Ye, Z. Wang, K. Xia, J. Hong, L. Li, L. Whalen, C. Wan, Y. Fu, Y. C. Lin, S. Kundu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025

3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning

Z. Ye, C. Wan, C. Li, J. Hong, S. Li, L. Li, Y. Zhang, Y. C. Lin

Conference on Neural Information Processing Systems (NeurIPS), 2024

Experience

Research Assistant, Zhao Lab, University of Minnesota
Jun. 2024 – Jan. 2026

Research Intern, EIC Lab, Georgia Institute of Technology
Mar. 2024 – May 2025

Research Intern, Sai Lab, New York University
Aug. 2025 – Apr. 2026

LLM Pre-training Intern, REDstar@hi Lab, Xiaohongshu (REDnote)
Sep. 2025 – Apr. 2026

Curriculum Vitae

You can download my full CV in PDF format below:

Download CV (PDF)

Contact

Feel free to reach out if you're interested in collaboration or have any questions about my research.

Location

University of Minnesota, Twin Cities
Minneapolis, MN, USA

Instagram

@li_leshu