activity
20232026
most citedEdgeLLM: A Highly Efficient CPU-FPGA Heterogeneous Edge Accelerator for Large Language Models

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.AR2026

ScaleLUT: A Fully-Parallel Configurable LUT-Based Accelerator for Real-Time Multi-Scale Super-Resolution

Boyu Li, Chenchen Ding, Zhilin Ai +7

Real-time super-resolution (SR) remains challenging for edge devices because deep-learning-based methods require substantial multiply-accumulate (MAC) operations, resources, and po…

cs.CV2026

Hybrid-LUT: Channel-Aware Hybrid Lookup Table and Filtering for Efficient Image Denoising

Zhilin Ai, Boyu Li, Sidi Yang +5

Lookup table (LUT)-based image denoising methods have attracted increasing attention due to their high efficiency and hardware-friendly properties. However, existing RGB-LUT approa…