Reconfigurable Hardware Accelerators: Opportunities, Trends, and Challenges. - Chao Wang 003; Wenqi Lou; Lei Gong; Lihui Jin; Luchao Tan; Yahui Hu; Xi Li 003; Xuehai Zhou (CoRR, 2017)

RV-CNN: Flexible and Efficient Instruction Set for CNNs Based on RISC-V Processors. - Wenqi Lou; Chao Wang 003; Lei Gong; Xuehai Zhou (APPT, 2019)

OctCNN: An Energy-Efficient FPGA Accelerator for CNNs using Octave Convolution Algorithm. - Wenqi Lou; Chao Wang 003; Lei Gong; Xuehai Zhou (CLUSTER, 2020)

Neural Network Instruction Set Extension and Code Mapping Mechanism. - Wenqi Lou; Chao Wang 003; Lei Gong; Xuehai Zhou (Int. J. Softw. Informatics, 2021)

TCL-Net: A Lightweight and Efficient Dehazing Network with Frequency-Domain Fusion and Multi-Angle Attention. - Cheng Tang; Wenqi Lou (ACCV (4), 2022)

OctCNN: A High Throughput FPGA Accelerator for CNNs Using Octave Convolution Algorithm. - Wenqi Lou; Lei Gong; Chao Wang 003; Zidong Du; Xuehai Zhou (IEEE Trans. Computers, 2022)

NAF: Deeper Network/Accelerator Co-Exploration for Customizing CNNs on FPGA. - Wenqi Lou; Jiaming Qian; Lei Gong; Xuan Wang 020; Chao Wang 003; Xuehai Zhou (DATE, 2023)

hAP: A Spatial-von Neumann Heterogeneous Automata Processor with Optimized Resource and IO Overhead on FPGA. - Xuan Wang 020; Lei Gong; Jing Cao; Wenqi Lou; Weiya Wang; Chao Wang 003; Xuehai Zhou (FPGA, 2023)

Beyond Training: A Zero-Shot Framework to Neural Architecture and Accelerator Co-Exploration. - Wei Fu; Wenqi Lou; Lei Gong; Chao Wang 003; Xuehai Zhou (CLUSTER Workshops, 2024)

Enhancing Long Sequence Input Processing in FPGA-Based Transformer Accelerators through Attention Fusion. - Yunji Qin; Wenqi Lou; Chao Wang 003; Lei Gong; Xuehai Zhou (ACM Great Lakes Symposium on VLSI, 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 003; Xuehai Zhou (ICCD, 2024)

UniCoMo: A Unified Learning-Based Cost Model for Tensorized Program Tuning. - Zihan Wang; Lei Gong; Wenqi Lou; Qianyu Cheng; Xianglan Chen; Chao Wang 003; Xuehai Zhou (ICCD, 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 (ICCD, 2024)

MFNAS: Multi-fidelity Exploration in Neural Architecture Search with Stable Zero-Shot Proxy. - Wei Fu; Wenqi Lou; Yunji Qin; Lei Gong; Chao Wang 003; Xuehai Zhou (PRICAI (1), 2024)

Unleashing Network/Accelerator Co-Exploration Potential on FPGAs: A Deeper Joint Search. - Wenqi Lou; Lei Gong; Chao Wang 003; Jiaming Qian; Xuan Wang 020; Changlong Li; Xuehai Zhou (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

FlexBCM: Hybrid Block-Circulant Neural Network and Accelerator Co-Search on FPGAs. - Wenqi Lou; Yunji Qin; Xuan Wang 020; Lei Gong; Chao Wang 003; Xuehai Zhou (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

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 003; Xuehai Zhou (Euro-Par (2), 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 (ISCAS, 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 003; Xuehai Zhou (CoRR, 2025)