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ORCIDWendong Mao
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2020 – today
- 2025
[j13]Haonan Zhang, Siyu Zhang, Wendong Mao, Zhongfeng Wang:
An Efficient Brain-Inspired Accelerator Using a High-Accuracy Conversion Algorithm for Spiking Deformable CNN. IEEE Trans. Circuits Syst. II Express Briefs 72(1): 288-292 (2025)- 2024
- [j12]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): 306-319 (2024) - [j11]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): 1708-1714 (2024) - [j10]Huihong Shi, Xin Cheng, Wendong Mao, Zhongfeng Wang:
P2-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1704-1717 (2024) - [c19]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: 1-6 - [c18]Haikuo Shao, Huihong Shi, Wendong Mao, Zhongfeng Wang:
An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT. ISCAS 2024: 1-5 - [c17]Haoran Zeng, Wendong Mao, Siyu Zhang, Zhongfeng Wang:
A Precision-Scalable Vision Accelerator for Robotic Applications. ISCAS 2024: 1-5 - [c16]Qiuhao Zeng, Yuefei Wang, Zhongfeng Wang, Wendong Mao:
An Automated Hardware Design Framework for Various DNNs Based on ChatGPT. SOCC 2024: 1-6 - [i9]Haikuo Shao, Huihong Shi, Wendong Mao, Zhongfeng Wang:
An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT. CoRR abs/2403.20230 (2024) - [i8]Huihong Shi, Haikuo Shao, Wendong Mao, Zhongfeng Wang:
Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer. CoRR abs/2405.03882 (2024) - [i7]Huihong Shi, Xin Cheng, Wendong Mao, Zhongfeng Wang:
P2-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer. CoRR abs/2405.19915 (2024) - 2023
- [j9]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): 2384-2397 (2023) - [j8]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): 3629-3633 (2023) - [j7]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): 4221-4225 (2023) - [j6]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: 6485-6498 (2023) - [j5]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): 2978-2992 (2023) - [c15]Minghao She, Wendong Mao, Huihong Shi, Zhongfeng Wang:
S$$^2$$R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. ICANN (6) 2023: 522-537 - [i6]Minghao She, Wendong Mao, Huihong Shi, Zhongfeng Wang:
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. CoRR abs/2308.08142 (2023) - [i5]Siyu Zhang, Wendong Mao, Huihong Shi, Zhongfeng Wang:
A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network. CoRR abs/2312.10716 (2023) - 2022
- [j4]Wendong Mao, Mingjie Wang, Hui Huang, Minglun Gong:
A robust framework for multi-view stereopsis. Vis. Comput. 38(5): 1539-1551 (2022) - [c14]Ziqi Su, Wendong Mao, Zhongfeng Wang, Jun Lin, Wenqiang Wang, Haitao Sun:
Accelerate Three-Dimensional Generative Adversarial Networks Using Fast Algorithm. ISCAS 2022: 31-35 - [c13]Peixiang Yang, Wendong Mao, Zhongfeng Wang, Jun Lin:
A Reconfigurable Approach for Deconvolutional Network Acceleration with Fast Algorithm. ISCAS 2022: 2685-2689 - [c12]Mingyu Zhu, Jiapeng Luo, Wendong Mao, Zhongfeng Wang:
An Efficient FPGA-based Accelerator for Deep Forest. ISCAS 2022: 3334-3338 - [c11]Siyu Zhang, Wendong Mao, Zhongfeng Wang:
An Efficient Accelerator of Deformable 3D Convolutional Network for Video Super-Resolution. ISVLSI 2022: 110-115 - [c10]Zilun Wang, Wendong Mao, Peixiang Yang, Zhongfeng Wang, Jun Lin:
An Efficient FPGA Accelerator for Point Cloud. SOCC 2022: 1-6 - [i4]Zilun Wang, Wendong Mao, Peixiang Yang, Zhongfeng Wang, Jun Lin:
An Efficient FPGA Accelerator for Point Cloud. CoRR abs/2210.07803 (2022) - [i3]Mingyu Zhu, Jiapeng Luo, Wendong Mao, Zhongfeng Wang:
An Efficient FPGA-based Accelerator for Deep Forest. CoRR abs/2211.02281 (2022) - 2021
- [c9]Huihong Shi, Wendong Mao, Zhongfeng Wang:
LITNet: A Light-weight Image Transform Net for Image Style Transfer. IJCNN 2021: 1-8 - [c8]Tongtong Yin, Wendong Mao, Jinming Lu, Zhongfeng Wang:
A Reconfigurable Accelerator for Generative Adversarial Network Training Based on FPGA. ISVLSI 2021: 144-149 - [c7]Yue Yu, Jiapeng Luo, Wendong Mao, Zhongfeng Wang:
A Memory-Efficient Hardware Architecture for Deformable Convolutional Networks. SiPS 2021: 140-145 - 2020
- [j3]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: 102861 (2020) - [j2]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: 9073-9083 (2020) - [j1]Wendong Mao, Jun Lin, Zhongfeng Wang:
F-DNA: Fast Convolution Architecture for Deconvolutional Network Acceleration. IEEE Trans. Very Large Scale Integr. Syst. 28(8): 1867-1880 (2020) - [c6]Peixiang Yang, Wendong Mao, Jun Lin, Zhongfeng Wang:
A Computation-Efficient Solution for Acceleration of Generative Adversarial Network. NEWCAS 2020: 210-213
2010 – 2019
- 2019
- [c5]Wendong Mao, Minglun Gong, Xin Huang, Hao Cai, Zili Yi:
A Global-Matching Framework for Multi-View Stereopsis. CAIP (1) 2019: 635-647 - [c4]Wendong Mao, Jichen Wang, Jun Lin, Zhongfeng Wang:
Methodology for Efficient Reconfigurable Architecture of Generative Neural Network. ISCAS 2019: 1-5 - [c3]Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong:
Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. WACV 2019: 321-330 - [c2]Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong:
Semi-Dense Stereo Matching Using Dual CNNs. WACV 2019: 1588-1597 - 2018
- [c1]Wendong Mao, Minglun Gong:
Disparity Filtering with 3D Convolutional Neural Networks. CRV 2018: 246-253 - [i2]Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong:
Semi-dense Stereo Matching using Dual CNNs. CoRR abs/1810.01369 (2018) - [i1]Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong:
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. CoRR abs/1810.01373 (2018)
Coauthor Index
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last updated on 2025-01-08 20:32 CET by the dblp team
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