Pixel-Copy Prediction Based Lossless Reference Frame Compression. - Weizhe Xu; Fangfa Fu; Binglei Lou; Yao Wang 006; Jinxiang Wang 001 (PCM (2), 2018)

Improving reliability in NoCs by reconstructing location distribution of management cores. - Fangfa Fu; Binglei Lou; Yukun Chen; Jinxiang Wang 001 (Microelectron. J., 2019)

Single-Batch CNN Training using Block Minifloats on FPGAs. - Chuliang Guo; Binglei Lou; Xueyuan Liu 002; David Boland; Philip H. W. Leong (FPGA, 2023)

BOOST: Block Minifloat-Based On-Device CNN Training Accelerator with Transfer Learning. - Chuliang Guo; Binglei Lou; Xueyuan Liu 002; David Boland; Philip H. W. Leong; Cheng Zhuo (ICCAD, 2023)

Fixed-point FPGA Implementation of the FFT Accumulation Method for Real-time Cyclostationary Analysis. - Carol Jingyi Li; Xiangwei Li; Binglei Lou; Craig T. Jin; David Boland; Philip H. W. Leong (ACM Trans. Reconfigurable Technol. Syst., 2023)

fSEAD: A Composable FPGA-based Streaming Ensemble Anomaly Detection Library. - Binglei Lou; David Boland; Philip H. W. Leong (ACM Trans. Reconfigurable Technol. Syst., 2023)

PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs. - Binglei Lou; Richard Rademacher; David Boland; Philip H. W. Leong (FPL, 2024)

SparseLUT: Sparse Connectivity Optimization for Lookup Table-Based Deep Neural Networks. - Binglei Lou; Ruilin Wu; Philip Leong (FCCM, 2025)

Highly Parallel CNN Accelerator for RepVGG-Like Network Training on FPGAs. - Chuliang Guo; Binglei Lou; David Boland; Philip H. W. Leong (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)