Wendong Mao

According to our database, Wendong Mao authored at least 34 papers between 2018 and 2025.

Collaborative distances:

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

2025

An Efficient Brain-Inspired Accelerator Using a High-Accuracy Conversion Algorithm for Spiking Deformable CNN.

Haonan Zhang, Siyu Zhang, Wendong Mao, Zhongfeng Wang

IEEE Trans. Circuits Syst. II Express Briefs, January, 2025

2024

P²-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer.

Huihong Shi, Xin Cheng, Wendong Mao, Zhongfeng Wang

IEEE Trans. Very Large Scale Integr. Syst., September, 2024

Hardware Accelerator Design for Sparse DNN Inference and Training: A Tutorial.

Wendong Mao, Meiqi Wang, Xiaoru Xie, Xiao Wu, Zhongfeng Wang

IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

NASA-F: FPGA-Oriented Search and Acceleration for Multiplication-Reduced Hybrid Networks.

Huihong Shi, Yang Xu, Yuefei Wang, Wendong Mao, Zhongfeng Wang

IEEE Trans. Circuits Syst. I Regul. Pap., January, 2024

Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer.

Huihong Shi, Haikuo Shao, Wendong Mao, Zhongfeng Wang

CoRR, 2024

An Automated Hardware Design Framework for Various DNNs Based on ChatGPT.

Qiuhao Zeng, Yuefei Wang, Zhongfeng Wang, Wendong Mao

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

A Precision-Scalable Vision Accelerator for Robotic Applications.

Haoran Zeng, Wendong Mao, Siyu Zhang, Zhongfeng Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT.

Haikuo Shao, Huihong Shi, Wendong Mao, Zhongfeng Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network.

Siyu Zhang, Wendong Mao, Huihong Shi, Zhongfeng Wang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

A Low-Latency Framework With Algorithm-Hardware Co-Optimization for 3-D Point Cloud.

Yue Yu, Wendong Mao, Jiapeng Luo, Zhongfeng Wang

IEEE Trans. Circuits Syst. II Express Briefs, November, 2023

A Unified Acceleration Solution Based on Deformable Network for Image Pixel Processing.

Wendong Mao, Ziqi Su, Jiapeng Luo, Zhongfeng Wang

IEEE Trans. Circuits Syst. II Express Briefs, September, 2023

FTA-GAN: A Computation-Efficient Accelerator for GANs With Fast Transformation Algorithm.

Wendong Mao, Peixiang Yang, Zhongfeng Wang

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Intelligent Typography: Artistic Text Style Transfer for Complex Texture and Structure.

Wendong Mao, Shuai Yang, Huihong Shi, Jiaying Liu, Zhongfeng Wang

IEEE Trans. Multim., 2023

An Efficient Accelerator Based on Lightweight Deformable 3D-CNN for Video Super-Resolution.

Siyu Zhang, Wendong Mao, Zhongfeng Wang

IEEE Trans. Circuits Syst. I Regul. Pap., 2023

S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution.

Minghao She, Wendong Mao, Huihong Shi, Zhongfeng Wang

CoRR, 2023

S$$^2$$R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution.

Minghao She, Wendong Mao, Huihong Shi, Zhongfeng Wang

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

A robust framework for multi-view stereopsis.

Wendong Mao, Mingjie Wang, Hui Huang, Minglun Gong

Vis. Comput., 2022

An Efficient FPGA Accelerator for Point Cloud.

Zilun Wang, Wendong Mao, Peixiang Yang, Zhongfeng Wang, Jun Lin

Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

An Efficient Accelerator of Deformable 3D Convolutional Network for Video Super-Resolution.

Siyu Zhang, Wendong Mao, Zhongfeng Wang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

An Efficient FPGA-based Accelerator for Deep Forest.

Mingyu Zhu, Jiapeng Luo, Wendong Mao, Zhongfeng Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A Reconfigurable Approach for Deconvolutional Network Acceleration with Fast Algorithm.

Peixiang Yang, Wendong Mao, Zhongfeng Wang, Jun Lin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Accelerate Three-Dimensional Generative Adversarial Networks Using Fast Algorithm.

Ziqi Su, Wendong Mao, Zhongfeng Wang, Jun Lin, Wenqiang Wang, Haitao Sun

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

A Memory-Efficient Hardware Architecture for Deformable Convolutional Networks.

Yue Yu, Jiapeng Luo, Wendong Mao, Zhongfeng Wang

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

A Reconfigurable Accelerator for Generative Adversarial Network Training Based on FPGA.

Tongtong Yin, Wendong Mao, Jinming Lu, Zhongfeng Wang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

LITNet: A Light-weight Image Transform Net for Image Style Transfer.

Huihong Shi, Wendong Mao, Zhongfeng Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

F-DNA: Fast Convolution Architecture for Deconvolutional Network Acceleration.

Wendong Mao, Jun Lin, Zhongfeng Wang

IEEE Trans. Very Large Scale Integr. Syst., 2020

BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis.

Zili Yi, Zhiqin Chen, Hao Cai, Wendong Mao, Minglun Gong, Hao (Richard) Zhang

IEEE Trans. Image Process., 2020

No-reference image sharpness assessment based on discrepancy measures of structural degradation.

Hao Cai, Mingjie Wang, Wendong Mao, Minglun Gong

J. Vis. Commun. Image Represent., 2020

A Computation-Efficient Solution for Acceleration of Generative Adversarial Network.

Peixiang Yang, Wendong Mao, Jun Lin, Zhongfeng Wang

Proceedings of the 18th IEEE International New Circuits and Systems Conference, 2020

2019

Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets.

Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Semi-Dense Stereo Matching Using Dual CNNs.

Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Methodology for Efficient Reconfigurable Architecture of Generative Neural Network.

Wendong Mao, Jichen Wang, Jun Lin, Zhongfeng Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

A Global-Matching Framework for Multi-View Stereopsis.

Wendong Mao, Minglun Gong, Xin Huang, Hao Cai, Zili Yi

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Disparity Filtering with 3D Convolutional Neural Networks.

Wendong Mao, Minglun Gong

Proceedings of the 15th Conference on Computer and Robot Vision, 2018