Minnan Pei
PhD student
CASIA, UCAS
Beijing, China
My research focuses on efficient computing for artificial intelligence algorithms and hardware-software co-optimization, with a particular emphasis on accelerating 3D Gaussian Splatting (3DGS). I am currently conducting academic research at CLab, under the guidance of Prof. Jian Cheng and Prof. Gang Li.
I graduated from the University of Chinese Academy of Sciences (UCAS) with a degree in Electronic Information Engineering, where I also served as the class monitor of the School of Electronics. During my studies, I was honored with the Beijing Outstanding Student Award, Beijing Distinguished Graduate Award, and the National Scholarship. Additionally, I served as the President of the Student Union of the School of Artificial Intelligence during my graduate studies.
Research
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Zeyu Zhu, Gang Li, Peisong Wang, Zitao Mo, Minnan Pei, Zhuoran Song, Xiaoyao Liang, Jian Cheng. "DALI: A Workload-Aware Offloading Framework for Efficient MoE Inference on Local PCs." [arXiv], 2026.
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Zeyu Zhu, Gang Li, Minnan Pei, Zitao Mo, Peihuan Ni, Peisong Wang, Tielong Liu and Jian Cheng. "KL-MoE: A Hierarchical MoE Pruning Framework Exploiting KL Divergence". [DAC], 2026.
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Siting Wang, Minnan Pei, Luoyang Sun, Cheng Deng, Kun Shao, Zheng Tian, Haifeng Zhang, Jun Wang. "SpatialViz-Bench: Automatically Generated Spatial Visualization Reasoning Tasks for MLLMs". [ICLR], 2026.
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Yuanhui Wang, Kunlong Liu, Minnan Pei, Zhangming Li, Peisong Wang and Qinghao Hu. "MemeBQ: Memory Efficient Binary Quantization of LLMs". [AAAI], 2026.
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Peihuan Ni, Zitao Mo, Tielong Liu, Hongli Wen, Zeyu Zhu, Minnan Pei, Junwen Si, Weifan Guan, Peisong Wang, Qinghao Hu, Gang Li and Jian Cheng. "APEX: Integer-only Non-linear Function Approximation for Efficient Cross-Modal Inference". [DATE], 2026.
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Tielong Liu, Gang Li, Zitao Mo, Zeyu Zhu, Minnan Pei and Jian Cheng. "Boosting the Performance of Tree-Based Speculative Decoding of LLMs on FPGAs". [DATE], 2026.
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Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng. "GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing". [MICRO], 2025.
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Jiahao Cui, Ruoxin Xiao, Shiyuan Fang, Minnan Pei, Yixuan Yu. "Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation". [arxiv], 2022.