Wenqi Lou

According to our database, Wenqi Lou authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FlexBCM: Hybrid Block-Circulant Neural Network and Accelerator Co-Search on FPGAs.

Wenqi Lou, Yunji Qin, Xuan Wang, Lei Gong, Chao Wang, Xuehai Zhou

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

Unleashing Network/Accelerator Co-Exploration Potential on FPGAs: A Deeper Joint Search.

Wenqi Lou, Lei Gong, Chao Wang, Jiaming Qian, Xuan Wang, Changlong Li, Xuehai Zhou

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2024

MFNAS: Multi-fidelity Exploration in Neural Architecture Search with Stable Zero-Shot Proxy.

Wei Fu, Wenqi Lou, Yunji Qin, Lei Gong, Chao Wang, Xuehai Zhou

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Fine-Grained Shared Cache Interference Analysis Using Basic Block's Execution Time.

Yixuan Zhu, Wenqi Lou, Yinkang Gao, Binze Jiang, Xiaohang Gong, Xi Li

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

UniCoMo: A Unified Learning-Based Cost Model for Tensorized Program Tuning.

Zihan Wang, Lei Gong, Wenqi Lou, Qianyu Cheng, Xianglan Chen, Chao Wang, Xuehai Zhou

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

AutoSparse: A Source-to-Source Format and Schedule Auto- Tuning Framework for Sparse Tensor Program.

Xiangjun Qu, Lei Gong, Wenqi Lou, Qianyu Cheng, Xianglan Chen, Chao Wang, Xuehai Zhou

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

Enhancing Long Sequence Input Processing in FPGA-Based Transformer Accelerators through Attention Fusion.

Yunji Qin, Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Beyond Training: A Zero-Shot Framework to Neural Architecture and Accelerator Co-Exploration.

Wei Fu, Wenqi Lou, Lei Gong, Chao Wang, Xuehai Zhou

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

hAP: A Spatial-von Neumann Heterogeneous Automata Processor with Optimized Resource and IO Overhead on FPGA.

Xuan Wang, Lei Gong, Jing Cao, Wenqi Lou, Weiya Wang, Chao Wang, Xuehai Zhou

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

NAF: Deeper Network/Accelerator Co-Exploration for Customizing CNNs on FPGA.

Wenqi Lou, Jiaming Qian, Lei Gong, Xuan Wang, Chao Wang, Xuehai Zhou

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

OctCNN: A High Throughput FPGA Accelerator for CNNs Using Octave Convolution Algorithm.

Wenqi Lou, Lei Gong, Chao Wang, Zidong Du, Xuehai Zhou

IEEE Trans. Computers, 2022

TCL-Net: A Lightweight and Efficient Dehazing Network with Frequency-Domain Fusion and Multi-Angle Attention.

Cheng Tang, Wenqi Lou

Proceedings of the Computer Vision - ACCV 2024, 2022

2021

Neural Network Instruction Set Extension and Code Mapping Mechanism.

Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou

Int. J. Softw. Informatics, 2021

2020

OctCNN: An Energy-Efficient FPGA Accelerator for CNNs using Octave Convolution Algorithm.

Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

RV-CNN: Flexible and Efficient Instruction Set for CNNs Based on RISC-V Processors.

Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou

Proceedings of the Advanced Parallel Processing Technologies, 2019

2017

Reconfigurable Hardware Accelerators: Opportunities, Trends, and Challenges.

Chao Wang, Wenqi Lou, Lei Gong, Lihui Jin, Luchao Tan, Yahui Hu, Xi Li, Xuehai Zhou

CoRR, 2017