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Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator

Xincheng Feng, Guodong Shen, Jianhao Hu, Meng Li, Ngai Wong

ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction

Renze Chen, Zhuofeng Wang, Beiquan Cao, Tong Wu, Size Zheng, Xiuhong Li, Xuechao Wei, Shengen Yan, Meng Li, Yun Liang

PrivCirNet: Efficient Private Inference via Block Circulant Transformation

Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li

AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference

Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li

FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference

Jiangrui Yu, Wenxuan Zeng, Tianshi Xu, Renze Chen, Yun (Eric) Liang, Runsheng Wang, Ru Huang, Meng Li

HG-PIPE: Vision Transformer Acceleration with Hybrid-Grained Pipeline

Qingyu Guo, Jiayong Wan, Songqiang Xu, Meng Li, Yuan Wang

MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers

Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun (Eric) Liang, Runsheng Wang, Ru Huang, Meng Li

OSCA: End-to-end Serial Stochastic Computing Neural Acceleration with Fine-grained Scaling and Piecewise Activation

Yixuan Hu, Yikang Jia, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang

PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization

Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li

ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding

Shuzhang Zhong, Zebin Yang, Ruihao Gong, Runsheng Wang, Ru Huang, Meng Li

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