Binglei Lou - RankMe

17 papers A 2B 1Misc 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond GEMM-Centric NPUs: Enabling Efficient Diffusion LLM Sampling. CoRR Binglei Lou, Haoran Wu, Yao Lai, Jiayi Nie, Can Xiao, Xuan Guo, Rika Antonova, Robert Mullins, Aaron Zhao
2026	J	`jnl`	Enhancing LUT-based Deep Neural Networks Inference through Architecture and Connectivity Optimization. CoRR Binglei Lou, Ruilin Wu, Philip Leong
2026	J	`jnl`	KernelCraft: Benchmarking for Agentic Close-to-Metal Kernel Generation on Emerging Hardware. CoRR Jiayi Nie, Haoran Wu, Yao Lai, Zeyu Cao, Cheng Zhang, Binglei Lou, Erwei Wang, Jianyi Cheng, Timothy M. Jones, Robert Mullins, Rika Antonova, Yiren Zhao
2025	J	`jnl`	Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference. CoRR Haoran Wu, Can Xiao, Jiayi Nie, Xuan Guo, Binglei Lou, Jeffrey T. H. Wong, Zhiwen Mo, Cheng Zhang, Przemyslaw Forys, Wayne Luk, Hongxiang Fan, Jianyi Cheng, Timothy M. Jones, Rika Antonova, Robert Mullins, Aaron Zhao
2025	J	`jnl`	Highly Parallel CNN Accelerator for RepVGG-Like Network Training on FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chuliang Guo, Binglei Lou, David Boland, Philip H. W. Leong
2025	J	`jnl`	Low-Latency FPGA Control System for Real-Time Neural Network Processing in CCD-Based Trapped-Ion Qubit Measurement. CoRR Binglei Lou, Gautham Duddi Krishnaswaroop, Filip Wojcicki, Ruilin Wu, Richard Rademacher, Zhiqiang Que, Wayne Luk, Philip H. W. Leong
2025	Misc	`conf`	SparseLUT: Sparse Connectivity Optimization for Lookup Table-Based Deep Neural Networks. FCCM Binglei Lou, Ruilin Wu, Philip Leong
2025	J	`jnl`	SparseLUT: Sparse Connectivity Optimization for Lookup Table-based Deep Neural Networks. CoRR Binglei Lou, Ruilin Wu, Philip Leong
2024	B	`conf`	PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs. FPL Binglei Lou, Richard Rademacher, David Boland, Philip H. W. Leong
2024	J	`jnl`	PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs. CoRR Binglei Lou, Richard Rademacher, David Boland, Philip H. W. Leong
2024	J	`jnl`	fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library. CoRR Binglei Lou, David Boland, Philip H. W. Leong
2023	A	`conf`	BOOST: Block Minifloat-Based On-Device CNN Training Accelerator with Transfer Learning. ICCAD Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong, Cheng Zhuo
2023	J	`jnl`	Fixed-point FPGA Implementation of the FFT Accumulation Method for Real-time Cyclostationary Analysis. ACM Trans. Reconfigurable Technol. Syst. Carol Jingyi Li, Xiangwei Li, Binglei Lou, Craig T. Jin, David Boland, Philip H. W. Leong
2023	A	`conf`	Single-Batch CNN Training using Block Minifloats on FPGAs. FPGA Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong
2023	J	`jnl`	fSEAD: A Composable FPGA-based Streaming Ensemble Anomaly Detection Library. ACM Trans. Reconfigurable Technol. Syst. Binglei Lou, David Boland, Philip H. W. Leong
2019	J	`jnl`	Improving reliability in NoCs by reconstructing location distribution of management cores. Microelectron. J. Fangfa Fu, Binglei Lou, Yukun Chen, Jinxiang Wang
2018	—	`conf`	Pixel-Copy Prediction Based Lossless Reference Frame Compression. PCM (2) Weizhe Xu, Fangfa Fu, Binglei Lou, Yao Wang, Jinxiang Wang