Disparity Filtering with 3D Convolutional Neural Networks. - Wendong Mao; Minglun Gong (CRV, 2018)

A Global-Matching Framework for Multi-View Stereopsis. - Wendong Mao; Minglun Gong; Xin Huang; Hao Cai 004; Zili Yi (CAIP (1), 2019)

Methodology for Efficient Reconfigurable Architecture of Generative Neural Network. - Wendong Mao; Jichen Wang; Jun Lin 001; Zhongfeng Wang 001 (ISCAS, 2019)

Semi-Dense Stereo Matching Using Dual CNNs. - Wendong Mao; Mingjie Wang 002; Jun Zhou 023; Minglun Gong (WACV, 2019)

Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. - Mingjie Wang 002; Jun Zhou 023; Wendong Mao; Minglun Gong (WACV, 2019)

A Computation-Efficient Solution for Acceleration of Generative Adversarial Network. - Peixiang Yang; Wendong Mao; Jun Lin 001; Zhongfeng Wang 001 (NEWCAS, 2020)

No-reference image sharpness assessment based on discrepancy measures of structural degradation. - Hao Cai 004; Mingjie Wang 002; Wendong Mao; Minglun Gong (J. Vis. Commun. Image Represent., 2020)

BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis. - Zili Yi; Zhiqin Chen; Hao Cai 004; Wendong Mao; Minglun Gong; Hao (Richard) Zhang (IEEE Trans. Image Process., 2020)

F-DNA: Fast Convolution Architecture for Deconvolutional Network Acceleration. - Wendong Mao; Jun Lin 001; Zhongfeng Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

LITNet: A Light-weight Image Transform Net for Image Style Transfer. - Huihong Shi; Wendong Mao; Zhongfeng Wang 001 (IJCNN, 2021)

A Reconfigurable Accelerator for Generative Adversarial Network Training Based on FPGA. - Tongtong Yin; Wendong Mao; Jinming Lu; Zhongfeng Wang 001 (ISVLSI, 2021)

A Memory-Efficient Hardware Architecture for Deformable Convolutional Networks. - Yue Yu; Jiapeng Luo; Wendong Mao; Zhongfeng Wang 001 (SiPS, 2021)

Accelerate Three-Dimensional Generative Adversarial Networks Using Fast Algorithm. - Ziqi Su; Wendong Mao; Zhongfeng Wang 001; Jun Lin 001; Wenqiang Wang; Haitao Sun (ISCAS, 2022)

A Reconfigurable Approach for Deconvolutional Network Acceleration with Fast Algorithm. - Peixiang Yang; Wendong Mao; Zhongfeng Wang 001; Jun Lin 001 (ISCAS, 2022)

An Efficient FPGA-based Accelerator for Deep Forest. - Mingyu Zhu; Jiapeng Luo; Wendong Mao; Zhongfeng Wang 001 (ISCAS, 2022)

An Efficient Accelerator of Deformable 3D Convolutional Network for Video Super-Resolution. - Siyu Zhang; Wendong Mao; Zhongfeng Wang 001 (ISVLSI, 2022)

An Efficient FPGA Accelerator for Point Cloud. - Zilun Wang; Wendong Mao; Peixiang Yang; Zhongfeng Wang 001; Jun Lin 001 (SOCC, 2022)

A robust framework for multi-view stereopsis. - Wendong Mao; Mingjie Wang 002; Hui Huang 004; Minglun Gong (Vis. Comput., 2022)

S$$^2$$R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. - Minghao She; Wendong Mao; Huihong Shi; Zhongfeng Wang 001 (ICANN (6), 2023)

S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. - Minghao She; Wendong Mao; Huihong Shi; Zhongfeng Wang 001 (CoRR, 2023)

An Efficient Accelerator Based on Lightweight Deformable 3D-CNN for Video Super-Resolution. - Siyu Zhang; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Intelligent Typography: Artistic Text Style Transfer for Complex Texture and Structure. - Wendong Mao; Shuai Yang 001; Huihong Shi; Jiaying Liu 001; Zhongfeng Wang 001 (IEEE Trans. Multim., 2023)

FTA-GAN: A Computation-Efficient Accelerator for GANs With Fast Transformation Algorithm. - Wendong Mao; Peixiang Yang; Zhongfeng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Unified Acceleration Solution Based on Deformable Network for Image Pixel Processing. - Wendong Mao; Ziqi Su; Jiapeng Luo; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A Low-Latency Framework With Algorithm-Hardware Co-Optimization for 3-D Point Cloud. - Yue Yu; Wendong Mao; Jiapeng Luo; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A Precision-Scalable Energy-Efficient DNN Accelerator for Robotic Grasping. - Zixiong Feng; Zhongfeng Wang 001; Wendong Mao (APCCAS, 2024)

A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network. - Siyu Zhang; Wendong Mao; Huihong Shi; Zhongfeng Wang 001 (DATE, 2024)

An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT. - Haikuo Shao; Huihong Shi; Wendong Mao; Zhongfeng Wang 001 (ISCAS, 2024)

A Precision-Scalable Vision Accelerator for Robotic Applications. - Haoran Zeng; Wendong Mao; Siyu Zhang; Zhongfeng Wang 001 (ISCAS, 2024)

An Automated Hardware Design Framework for Various DNNs Based on ChatGPT. - Qiuhao Zeng; Yuefei Wang; Zhongfeng Wang 001; Wendong Mao (SOCC, 2024)

NASA-F: FPGA-Oriented Search and Acceleration for Multiplication-Reduced Hybrid Networks. - Huihong Shi; Yang Xu; Yuefei Wang; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Hardware Accelerator Design for Sparse DNN Inference and Training: A Tutorial. - Wendong Mao; Meiqi Wang; Xiaoru Xie; Xiao Wu; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

P2-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer. - Huihong Shi; Xin Cheng; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2024)

NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Fengyuan Zhang; Lvli Tian; Longguang Wang; Juncheng Li 013; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; et al. (CVPR Workshops, 2025)

CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model. - Jinming Lu; Minghao She; Wendong Mao; Zhongfeng Wang 001 (ISCAS, 2025)

An Efficient Sparse Hardware Accelerator for Spike-Driven Transformer. - Zhengke Li; Wendong Mao; Siyu Zhang; Qiwei Dong; Zhongfeng Wang 001 (CoRR, 2025)

An Efficient Brain-Inspired Accelerator Using a High-Accuracy Conversion Algorithm for Spiking Deformable CNN. - Haonan Zhang; Siyu Zhang; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2025)

Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer. - Huihong Shi; Haikuo Shao; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

A Unified Accelerator for All-in-One Image Restoration Based on Prompt Degradation Learning. - Siyu Zhang; Qiwei Dong; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

VCNPU: An Algorithm-Hardware Co-Optimized Framework for Accelerating Neural Video Compression. - Siyu Zhang; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2025)

An Energy-Efficient FPGA Accelerator for Swin Transformer. - Yuefei Wang; Wendong Mao; Huihong Shi; Jin Sha; Zhongfeng Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2025)

A Memory-Efficient Framework for Deformable Transformer with Neural Architecture Search. - Wendong Mao; Mingfan Zhao; Jianfeng Guan; Qiwei Dong; Zhongfeng Wang 001 (CoRR, 2025)

A CPU+FPGA OpenCL Heterogeneous Computing Platform for Multi-Kernel Pipeline. - Yuefei Wang; Wendong Mao; Lang Feng 001; Jin Sha; Zhongfeng Wang 001 (ACM Trans. Design Autom. Electr. Syst., 2025)