Wendong Mao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Reconfigurable Architecture

Convolutional Network

Top Venues

IEEE Trans. Circuits Syst. II Express Briefs

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Huihong Shi, Xin Cheng, Wendong Mao, Zhongfeng Wang
-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer. CoRR (2024)
Haikuo Shao, Huihong Shi, Wendong Mao, Zhongfeng Wang
An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT. ISCAS (2024)
Haikuo Shao, Huihong Shi, Wendong Mao, Zhongfeng Wang
An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT. CoRR (2024)
Huihong Shi, Yang Xu, Yuefei Wang, Wendong Mao, Zhongfeng Wang
NASA-F: FPGA-Oriented Search and Acceleration for Multiplication-Reduced Hybrid Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (1) (2024)
Huihong Shi, Haikuo Shao, Wendong Mao, Zhongfeng Wang
Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer. CoRR (2024)
Siyu Zhang, Wendong Mao, Huihong Shi, Zhongfeng Wang
A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network. DATE (2024)
Wendong Mao, Meiqi Wang, Xiaoru Xie, Xiao Wu, Zhongfeng Wang
Hardware Accelerator Design for Sparse DNN Inference and Training: A Tutorial. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Haoran Zeng, Wendong Mao, Siyu Zhang, Zhongfeng Wang
A Precision-Scalable Vision Accelerator for Robotic Applications. ISCAS (2024)
Yue Yu, Wendong Mao, Jiapeng Luo, Zhongfeng Wang
A Low-Latency Framework With Algorithm-Hardware Co-Optimization for 3-D Point Cloud. IEEE Trans. Circuits Syst. II Express Briefs 70 (11) (2023)
Wendong Mao, Ziqi Su, Jiapeng Luo, Zhongfeng Wang
A Unified Acceleration Solution Based on Deformable Network for Image Pixel Processing. IEEE Trans. Circuits Syst. II Express Briefs 70 (9) (2023)
Minghao She, Wendong Mao, Huihong Shi, Zhongfeng Wang
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. CoRR (2023)
Siyu Zhang, Wendong Mao, Zhongfeng Wang
An Efficient Accelerator Based on Lightweight Deformable 3D-CNN for Video Super-Resolution. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (6) (2023)
Siyu Zhang, Wendong Mao, Huihong Shi, Zhongfeng Wang
A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network. CoRR (2023)
Wendong Mao, Shuai Yang, Huihong Shi, Jiaying Liu, Zhongfeng Wang
Intelligent Typography: Artistic Text Style Transfer for Complex Texture and Structure. IEEE Trans. Multim. 25 (2023)
Wendong Mao, Peixiang Yang, Zhongfeng Wang
FTA-GAN: A Computation-Efficient Accelerator for GANs With Fast Transformation Algorithm. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Siyu Zhang, Wendong Mao, Zhongfeng Wang
An Efficient Accelerator of Deformable 3D Convolutional Network for Video Super-Resolution. ISVLSI (2022)
Mingyu Zhu, Jiapeng Luo, Wendong Mao, Zhongfeng Wang
An Efficient FPGA-based Accelerator for Deep Forest. CoRR (2022)
Wendong Mao, Mingjie Wang, Hui Huang, Minglun Gong
A robust framework for multi-view stereopsis. Vis. Comput. 38 (5) (2022)
Zilun Wang, Wendong Mao, Peixiang Yang, Zhongfeng Wang, Jun Lin
An Efficient FPGA Accelerator for Point Cloud. SOCC (2022)
Peixiang Yang, Wendong Mao, Zhongfeng Wang, Jun Lin
A Reconfigurable Approach for Deconvolutional Network Acceleration with Fast Algorithm. ISCAS (2022)
Zilun Wang, Wendong Mao, Peixiang Yang, Zhongfeng Wang, Jun Lin
An Efficient FPGA Accelerator for Point Cloud. CoRR (2022)
Mingyu Zhu, Jiapeng Luo, Wendong Mao, Zhongfeng Wang
An Efficient FPGA-based Accelerator for Deep Forest. ISCAS (2022)
Ziqi Su, Wendong Mao, Zhongfeng Wang, Jun Lin, Wenqiang Wang, Haitao Sun
Accelerate Three-Dimensional Generative Adversarial Networks Using Fast Algorithm. ISCAS (2022)
Huihong Shi, Wendong Mao, Zhongfeng Wang
LITNet: A Light-weight Image Transform Net for Image Style Transfer. IJCNN (2021)
Yue Yu, Jiapeng Luo, Wendong Mao, Zhongfeng Wang
A Memory-Efficient Hardware Architecture for Deformable Convolutional Networks. SiPS (2021)
Tongtong Yin, Wendong Mao, Jinming Lu, Zhongfeng Wang
A Reconfigurable Accelerator for Generative Adversarial Network Training Based on FPGA. ISVLSI (2021)
Hao Cai, Mingjie Wang, Wendong Mao, Minglun Gong
No-reference image sharpness assessment based on discrepancy measures of structural degradation. J. Vis. Commun. Image Represent. 71 (2020)
Peixiang Yang, Wendong Mao, Jun Lin, Zhongfeng Wang
A Computation-Efficient Solution for Acceleration of Generative Adversarial Network. NEWCAS (2020)
Wendong Mao, Jun Lin, Zhongfeng Wang
F-DNA: Fast Convolution Architecture for Deconvolutional Network Acceleration. IEEE Trans. Very Large Scale Integr. Syst. 28 (8) (2020)
Zili Yi, Zhiqin Chen, Hao Cai, Wendong Mao, Minglun Gong, Hao (Richard) Zhang
BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis. IEEE Trans. Image Process. 29 (2020)
Wendong Mao, Jichen Wang, Jun Lin, Zhongfeng Wang
Methodology for Efficient Reconfigurable Architecture of Generative Neural Network. ISCAS (2019)
Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong
Semi-Dense Stereo Matching Using Dual CNNs. WACV (2019)
Wendong Mao, Minglun Gong, Xin Huang, Hao Cai, Zili Yi
A Global-Matching Framework for Multi-View Stereopsis. CAIP (1) (2019)
Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong
Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. WACV (2019)
Wendong Mao, Minglun Gong
Disparity Filtering with 3D Convolutional Neural Networks. CRV (2018)
Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong
Semi-dense Stereo Matching using Dual CNNs. CoRR (2018)
Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. CoRR (2018)