Cloudformer: A Cloud-Removal Network Combining Self-Attention Mechanism and Convolution. - Peiyang Wu; Zongxu Pan; Hairong Tang; Yuxin Hu (Remote. Sens., 2022)

Adaptive Receiver Using Convolutional Neural Network for Underwater Wireless Communication. - Min Li; Ronghai Wang; Limei Zhao; Jinsheng Luo; Peiyang Wu (ICNCC, 2023)

Multilayer Dataflow: Orchestrate Butterfly Sparsity to Accelerate Attention Computation. - Haibin Wu; Wenming Li; Kai Yan; Zhihua Fan; Peiyang Wu; Yuqun Liu; Yanhuan Liu; Ziqing Qiang; Meng Wu 006; Kunming Liu; Xiaochun Ye; Dongrui Fan (CoRR, 2024)

Safety helmet detection based on improved YOLOv7-tiny with multiple feature enhancement. - Shuqiang Wang; Peiyang Wu; Qingqing Wu 015 (J. Real Time Image Process., 2024)

ITERTL: An Iterative Framework for Fine-tuning LLMs for RTL Code Generation. - Peiyang Wu; Nan Guo; Xiao Xiao; Wenming Li; Xiaochun Ye; Dongrui Fan (ISCAS, 2025)

Adaptive online task scheduling algorithm for resource regulation on heterogeneous platforms. - Yongqing Liu; Fan Yang; Fuqiang Tian; Jun Mou; Bo Hu; Peiyang Wu (Int. J. Cloud Comput., 2025)

RTLRepoCoder: Repository-Level RTL Code Completion through the Combination of Fine-Tuning and Retrieval Augmentation. - Peiyang Wu; Nan Guo; Junliang Lv; Xiao Xiao; Xiaochun Ye (CoRR, 2025)

Large Processor Chip Model. - Kaiyan Chang; Mingzhi Chen; Yunji Chen; Zhirong Chen; Dongrui Fan; Junfeng Gong; Nan Guo; Yinhe Han 001; Qinfen Hao; Shuo Hou; Xuanjing Huang 001; Pengwei Jin; et al. (CoRR, 2025)