Shixuan Li's Homepage

Shixuan Li (李诗轩)

Hi everyone! 👋 I am a 4th-year Ph.D. student in Computer Engineering at the University of Southern California, advised by Prof. Paul Bogdan. I received my M.S. in Computer Engineering from USC (2025) and my B.E. in Computer Science from Huazhong University of Science and Technology (2023).

My research interests focus on Large Language Models (LLMs) and Multi-Agent Systems, including reasoning and collaboration mechanisms. I also work on neural operators, generative models, and their applications in domains such as hardware design (HDL) and weather forecasting.

Feel free to reach out!

Email / LinkedIn / Google Scholar / Github

Photo taken by Jixuan.

News

2026.09: 🎉 We are delighted that our paper has been accepted by NeurIPS 2026!
2026.08: 🎉 We are delighted that our paper has been accepted by EMNLP 2026!
2026.07: 🎉 One paper is accepted by ICCAD 2026!
2026.05: 🎉 I am delighted to join the AWS Quick Science team for a 3-month summer internship.
2026.03: 🎉 Thrilled that our paper is accepted at CVPR 2026!
2026.02: 🎉 Three papers are accepted at ICASSP 2026 as Oral presentations. Looking forward to presenting in Barcelona, May 4–8, 2026!
2026.02: 🎉 Paper accepted at MLSys 2026!

Selected Publications

(*: Equal Contributions)

	Multi-Scale Conditional Generative Model for Image Restoration Shixuan Li, Luzhe Huang, Xiongye Xiao, et al. ICASSP 2026 Oral* \| Paper
	SAED-Net: A Physics-Aligned Spectral Transformer for Efficient Weather Forecasting Shixuan Li, Wei Yang, Peiyu Zhang, Xiongye Xiao, et al. arXiv preprint \| Paper
	Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge Wei Yang, Shixuan Li*, et al. EMNLP 2026* \| Paper
	Maestro: Learning to Collaborate via Conditional Listwise Policy Optimization for Multi-Agent LLMs Wei Yang, Jiacheng Pang, Shixuan Li, et al. arXiv preprint* \| Paper
	HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL Heng Ping, Shixuan Li*, Peiyu Zhang, Anzhe Cheng, et al. IEEE LAD 2025* \| Paper
	VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation Heng Ping, Arijit Bhattacharjee, Peiyu Zhang, Shixuan Li, et al. MLSys 2026 \| Paper
	Multi-scale Generative Modeling for Fast Sampling Xiongye Xiao, Shixuan Li*, Luzhe Huang, et al. ICASSP 2026 Oral \| Paper
	EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Shahin Nazarian, Paul Thompson, Paul Bogdan ICASSP 2026 Oral \| Paper
	ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization Anzhe Cheng, Shukai Duan, Shixuan Li, et al. CVPR 2026 \| Paper
	Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective (NeuroMFA) Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yi-Zhuo Zhou, Shixuan Li, et al. ICLR 2025* \| Paper
	Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, et al. ICLR 2024 \| Paper

Internship Experience

Amazon Web Services (AWS) Quick Science, Pasadena, CA
Applied Scientist Intern May 2026 – Aug 2026

Education

	University of Southern California, Los Angeles, CA Ph.D. in Computer Engineering Aug 2023 – Present M.S. in Computer Engineering Aug 2023 – May 2025
	Huazhong University of Science and Technology, Wuhan, China B.E. in Computer Science Sep 2019 – Jun 2023

Technical Skills

Programming Languages: Python (Proficient), C/C++, Java, SQL
Deep Learning Frameworks: PyTorch, TensorFlow, HuggingFace
Large Language Models: Multi-Agent Systems, RAG, Chain-of-Thought (CoT), Mixture-of-Experts/Agents (MoE/MoA), Prompt Engineering
Machine Learning & AI: Generative Models (Diffusion, GANs), Multimodal Learning, Graph Neural Networks, Transformer Architectures
Math & Analytical: Information Theory, Topology/Network Analysis, Multi-Fractal Analysis, Optimal Control

Services

Reviewer: ICLR (2025, 2026), NeurIPS 2025, ICML 2026

Mentorship

USC SURE (Summer Undergraduate Research Experience): mentored Michael Battiest (USC).
USC STAR & EHA Biotechnology Program: mentored Jezabella Figueroa (Francisco Bravo Medical Magnet High School).
USC SHINE (Summer High School Intensive in Next-Generation Engineering): mentored Anthony Nevarez (Alliance M. Margaret Bloomfield High School).
UMich COMPASS Summer Internship: mentored Risley Charles Ogembo (Glendora High School).

Miscellanea

I enjoy football⚽️, badminton🏸, and violin🎻.
I am a big fan of Lionel Messi🐐!

Template courtesy: Jon Barron.