I am Zhengxiong Li (李正雄), an ECE PhD student at University of Wisconsin-Madison, supervised by Prof. Umit Ogras and Prof. Tsung-Wei Huang. I graduated from Hongyi Honor College, Wuhan University (武汉大学弘毅学堂) with a bachelor’s degree in microelectronics science and engineering. I was fortunate to be supervised by Prof. Xianyang Jiang and Prof. Cheng Lei. I was a research intern at University of Alberta, Canada, supervised by Prof. Venkata Dinavahi.
My research interests include GPU workload scheduling, LLM inference acceleration and differentiable optimization, with an emphasis on performance optimization and energy efficiency.
If you are interested in my research, please contact me at zhengxiong.li@wisc.edu
You can find my latest CV here.
🔥 News
- 2026.08: 🎉 Our paper, CREDIT: Cost-guided Reduction-reuse with Efficient DSMEM Inter-CTA Tiling, was accepted by HPEC 2026 as a best paper candidate!
- 2026.06: 🎉 I was awarded UW-Madison David and Sarah Epstein Fellowship
- 2026.04: 🎉 Our paper, SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines, was accepted by Euro-Par 2026. See you in Italy!
- 2026.03: 🎉 I was selected as DAC 2026 Young Fellow. See you in Los Angeles!
- 2025.08: 🎉 Our paper, A Scalable Code Generation Flow for Heterogeneous Parallel RTL Simulation using MLIR, was accepted by HPEC 2025
- 2025.03: 🎉 I was selected as DAC 2025 Young Fellow. See you in San Francisco!
📝 Publications
- CREDIT: Cost-guided Reduction-reuse with Efficient DSMEM Inter-CTA Tiling
Code
Zhengxiong Li, Tsung-Wei Huang, Umit Ogras
IEEE High Performance Extreme Computing Conference (HPEC), virtual, 2026 - SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines
DOI
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Slides
Poster
Zhengxiong Li, Tsung-Wei Huang, Umit Ogras
International European Conference on Parallel and Distributed Computing (Euro-Par), Pisa, Italy, 2026 - A Scalable Code Generation Flow for Heterogeneous Parallel RTL Simulation using MLIR
DOI
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Tong Jie, Zhengxiong Li, Umit Ogras, Tsung-Wei Huang
IEEE High Performance Extreme Computing Conference (HPEC), virtual, 2025 - MSGM: An Advanced Deep Multi-Size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges
DOI
Xiaoxiao Li†, Zhengxiong Li†, Taobo Hu, Mengping Long, Xiao Ma, Jin Huang, Yiqiang Liu, Yaxiaer Yalikun, Sheng Liu, Du Wang, Jianghua Wu, Liye Mei, Cheng Lei † Equal contribution
IEEE Journal of Biomedical and Health Informatics (JBHI), 2024 - MRRM: Advanced Biomarker Alignment in Multi-Staining Pathology Images via Multi-Scale Ring Rotation-Invariant Matching
DOI
Xiaoxiao Li†, Taobo Hu†, Zhengxiong Li†, Mengping Long, Zhaoyi Ye, Jin Huang, Yaxiaer Yalikun, Sheng Liu, Yiqiang Liu, Du Wang, Jianghua Wu, Liye Mei, Cheng Lei † Equal contribution
IEEE Journal of Biomedical and Health Informatics (JBHI), 2024 - A Resource-efficient FIR Filter Design Based on an RAG Improved Algorithm
DOI
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Slides
Poster
Mengwei Hu, Xianyang Jiang, Zhengxiong Li
International Conference on Circuits and Systems (ICCS), Huzhou, China, 2023
🎖️ Honors & Awards
- 2026.08, High Performance Extreme Computing Conference (HPEC) 2026 Outstanding Paper Award
- 2026.07, 63rd Design Automation Conference (DAC) Young Fellow
- 2026.06, UW-Madison David and Sarah Epstein Fellowship
- 2025.07, 62nd Design Automation Conference (DAC) Young Fellow
📖 Academic Services
- 2026, Teaching Assistant, Introductory Experience in Electrical Engineering
- 2026, Artifact Evaluation Committee, International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES)
- 2023, Teaching Assistant, Digital Logic Circuit Lab
🎓 Education
- 2024.09 - Present, PhD, Electrical and Computer Engineering, University of Wisconsin-Madison, USA
- 2020.09 - 2024.06, Bachelor, Microelectronics Science, Hongyi Honor College, Wuhan University, China