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Minnan Pei

GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing
2025 · Minnan Pei, Gang Li, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 6
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SpatialViz-Bench: A Cognitively-Grounded Benchmark for Diagnosing Spatial Visualization in MLLMs
2025 · Wang, Siting, Pei, Minnan, et al. · arXiv (Cornell University) · 1
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From Splats to Silicon: Rethinking Computational Efficiency of 3DGS
2026 · Pei, Minnan, Dong, Qiwei, et al. · arXiv (Cornell University)
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DeGS: A Scalable 3DGS Architecture via Decoupled Workload Parsing and Reorganization
2026 · Pei, Minnan, Li, Gang, et al. · arXiv (Cornell University)
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A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference
2026 · Song, Zhuoran, Jiang, Haozhe, et al. · arXiv (Cornell University)
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KL-MoE: A Hierarchical MoE Pruning Framework Exploiting KL Divergence
2026 · Zeyu Zhu, Gang Li, et al. · ACM/IEEE Design Automation Conference (DAC)
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APEX: Integer-only Non-linear Function Approximation for Efficient Cross-Modal Inference
2026 · Peihuan Ni, Zitao Mo, et al. · Design, Automation, and Test in Europe
MemeBQ:Memory Efficient Binary Quantization of LLMs
2026 · Yuanhui Wang, Kunlong Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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$π$-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs
2026 · Wang, Siting, Wang, Xiaofeng, et al. · arXiv (Cornell University)
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Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation
2022 · Cui, Jiahao, Xiao, Ruoxin, et al. · arXiv (Cornell University)
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Works count: 10
Citation count: 7
H-index: 1
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