Efficient AI

FLASH: An Efficient Hardware Accelerator Leveraging Approximate and Sparse FFT for Homomorphic Encryption

Tengyu Zhang, Yufei Xue, Ling Liang, Zhen Gu, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li

LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design

Renjie Wei, Songqiang Xu, Linfeng Zhong, Zebin Yang, Qingyu Guo, Yuan Wang, Runsheng Wang, Meng Li

SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings

Renjie Wei, Zechun Liu, Yuchen Fan, Runsheng Wang, Ru Huang, Meng Li

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

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

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