University of Michigan · CSE

Hi, I’m Runyu Lu.

I am a second-year PhD student in Computer Science and Engineering at the University of Michigan, co-advised by Professors Mosharaf Chowdhury and Ang Chen. I am also doing research in NVIDIA GEAR Lab. I am interested in Robotics(Embodied AI) and ML systems.

Email Me
Runyu Lu standing at a harbor.

Research Overview

  • Robotics(Embodied AI)

    I currently work on VLA post-training and physical agents. While today's LLMs, VLMs, and AI agents excel at reasoning and diverse virtual tasks, my focus is on extending that intelligence into the physical world. I'm excited to learn and contribute to bridging virtual insight with embodied autonomy.

  • ML System

    I am interested in many aspects of ML systems. I worked on DiT-based Image Generation, Multimodal Model Training, GPU Sharing for LLM Serving, and LLM-enabled Compiler Fuzzing.

Publications

  1. TetriServe: Efficient DiT Serving for Heterogeneous Image Generation

    R. Lu*, S. He*, W. Tan, S. Li, R. Wu, J. J. Ma, A. Chen, M. Chowdhury

    arXiv preprint arXiv:2510.01565, 2025

    PDF arXiv Code Slides

  2. Cornstarch: Distributed Multimodal Training Must Be Multimodality-Aware

    I. Jang, R. Lu, N. Bansal, A. Chen, M. Chowdhury

    arXiv preprint arXiv:2503.11367, 2025

    PDF arXiv Code Slides

  3. Whitefox: White-box compiler fuzzing empowered by large language models

    C. Yang, Y. Deng, R. Lu, J. Yao, J. Liu, R. Jabbarvand, L. Zhang

    Proceedings of the ACM on Programming Languages 8 (OOPSLA2), 709-735, 2024

    PDF arXiv Code Slides

  4. MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving

    J. Duan, R. Lu, H. Duanmu, X. Li, X. Zhang, D. Lin, I. Stoica, H. Zhang

    Forty-first International Conference on Machine Learning (ICML), 2024

    PDF arXiv Code Slides