Wenqi Lou

According to our database, Wenqi Lou authored at least 38 papers between 2017 and 2026.

Collaborative distances:

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

2026

LORA: A Latency-Oriented Recurrent Architecture for Large Language Model on Multi-FPGA Platform With Communication Optimization.

Zhendong Zheng, Qianyu Cheng, Teng Wang, Wenqi Lou, Lei Gong, Xianglan Chen, Chao Wang, Xuehai Zhou

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2026

UniSparTa: A Unified Sparse Tensor Program Tuning Framework.

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

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2026

Scheduling Cause-Effect Chains without Timing Anomalies in End-to-End Latency.

Yixuan Zhu, Bo Zhang, Yinkang Gao, Haoyuan Ren, Cheng Tang, Caixu Zhao, Lei Gong, Teng Wang, Wenqi Lou, Xi Li

CoRR, April, 2026

TETRIS: A Novel FPGA Virtualization Framework for Fine-grained Sharing via Hierarchical Reconfiguration.

Wenbin Teng, Wenqi Lou, Teng Wang, Lei Gong, Chao Wang, Xuehai Zhou

ACM Trans. Reconfigurable Technol. Syst., March, 2026

Hermes: A Unified High-Performance NTT Architecture with Hybrid Dataflow.

Hang Gu, Teng Wang, Qianyu Cheng, Jinao Li, Zhendong Zheng, Lei Gong, Wenqi Lou, Xi Li, Xuehai Zhou

CoRR, March, 2026

MoE-Sched: Enabling Efficient FPGA Deployment of Mixture-of-Experts Vision Transformers via Coordinated Scheduling.

Jiale Dong, Wenqi Lou, Hao Wu, Zhendong Zheng, Yunji Qin, Lei Gong, Chao Wang, Xuehai Zhou

IEEE Trans. Very Large Scale Integr. Syst., January, 2026

UniCoX: A Unified Cost Model for Tensorized Program Tuning Across Ubiquitous Accelerators.

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

IEEE Trans. Computers, January, 2026

A Timing-Anomaly Free Dynamic Scheduling on Heterogeneous Systems.

Yixuan Zhu, Yinkang Gao, Lei Gong, Binze Jiang, Xiaohang Gong, Zihan Wang, Cheng Tang, Wenqi Lou, Teng Wang, Chao Wang, Xi Li, Xuehai Zhou

CoRR, January, 2026

Reducing End-to-End Latency of Cause-Effect Chains with Shared Cache Analysis.

Yixuan Zhu, Yinkang Gao, Bo Zhang, Xiaohang Gong, Binze Jiang, Lei Gong, Wenqi Lou, Teng Wang, Chao Wang, Xi Li, Xuehai Zhou

CoRR, January, 2026

Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and Caching.

Fengrui Zuo, Zhiwei Ke, Yiming Liu, Wenqi Lou, Chao Wang, Xuehai Zhou

CoRR, January, 2026

Crystal-KV: Efficient KV Cache Management for Chain-of-Thought LLMs via Answer-First Principle.

Zihan Wang, Cheng Tang, Lei Gong, Cheng Li, Chao Wang, Teng Wang, Wenqi Lou, Xuehai Zhou

CoRR, January, 2026

CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices.

Cheng Tang, Guochong Sui, Wenqi Lou, Zihan Wang, Jiayi Tuo, Wenqian Xie, Yinkang Gao, Yixuan Zhu, Lei Gong, Chao Wang, Xuehai Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ActionFlow: A Pipelined Action Acceleration for Vision Language Models on Edge.

Yuntao Dai, Hang Gu, Teng Wang, Qianyu Cheng, Yifei Zheng, Zhiyong Qiu, Lei Gong, Wenqi Lou, Xuehai Zhou

CoRR, December, 2025

Picasso: Analyzing Prompt Design for Text-to-Image Generative Diffusion Models from a Temporal-Spatial Perspective.

Haoyu Cai, Wenqi Lou, Chao Wang, Xuehai Zhou

ACM Trans. Multim. Comput. Commun. Appl., November, 2025

QLlama: An FPGA-Based Microscaling Quantization Accelerator for Energy-Efficient Llama2 Inference.

Hongbing Wen, Zihao Wang, Jiale Dong, Wenqi Lou, Lei Gong, Chao Wang, Xuehai Zhou

IEEE Embed. Syst. Lett., October, 2025

Optimizing utilization in logical execution time system with preserved externally-observable timed I/O semantics.

Bo Zhang, Caixu Zhao, Yinkang Gao, Yixuan Zhu, Lei Gong, Teng Wang, Wenqi Lou, Xi Li

J. Syst. Archit., 2025

TSI: A Time-Semantic Instruction Set for Deterministic Data-Flow Execution in Real-Time Embedded Systems.

Yinkang Gao, Bo Zhang, Yixuan Zhu, Lei Gong, Teng Wang, Wenqi Lou, Chao Wang, Xi Li, Xuehai Zhou

Proceedings of the IEEE Real-Time Systems Symposium, 2025

UbiMoE: A Ubiquitous Mixture-of-Experts Vision Transformer Accelerator With Hybrid Computation Pattern on FPGA.

Jiale Dong, Wenqi Lou, Zhendong Zheng, Yunji Qin, Lei Gong, Chao Wang, Xuehai Zhou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Automated FPGA Accelerator Generation Framework for Transformers with Dataflow Optimization.

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

Proceedings of the 54th International Conference on Parallel Processing, 2025

Spectral Enhanced Tuning: An Efficient Plug-and-Play Framework for Frequency-Aware Dehazing.

Cheng Tang, Wenqi Lou, Qianyu Cheng, Jiayi Tuo, Wei Fu, Tianhao Jiang, Chao Wang, Xuehai Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA.

Jiale Dong, Hao Wu, Zihao Wang, Wenqi Lou, Zhendong Zheng, Lei Gong, Chao Wang, Xuehai Zhou

Proceedings of the Euro-Par 2025: Parallel Processing, 2025

UniCoS: A Unified Neural and Accelerator Co-Search Framework for CNNs and ViTs.

Wei Fu, Wenqi Lou, Cheng Tang, Hongbing Wen, Yunji Qin, Lei Gong, Chao Wang, Xuehai Zhou

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

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