Mao Ye

According to our database, Mao Ye authored at least 162 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Compressed-SDR to HDR Video Reconstruction.

Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Xue Li, Ce Zhu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Disentanglement then reconstruction: Unsupervised domain adaptation by twice distribution alignments.

Lihua Zhou, Mao Ye, Xinpeng Li, Ce Zhu, Yiguang Liu, Xue Li

Expert Syst. Appl., March, 2024

Source-free domain adaptation with Class Prototype Discovery.

Lihua Zhou, Nianxin Li, Mao Ye, Xiatian Zhu, Song Tang

Pattern Recognit., January, 2024

Progressive Source-Aware Transformer for Generalized Source-Free Domain Adaptation.

Song Tang, Yuji Shi, Zihao Song, Mao Ye, Changshui Zhang, Jianwei Zhang

IEEE Trans. Multim., 2024

SSTNet: Sliced Spatio-Temporal Network With Cross-Slice ConvLSTM for Moving Infrared Dim-Small Target Detection.

Shengjia Chen, Luping Ji, Jiewen Zhu, Mao Ye, Xiaoyong Yao

IEEE Trans. Geosci. Remote. Sens., 2024

Source-Free Domain Adaptation via Target Prediction Distribution Searching.

Song Tang, An Chang, Fabian Zhang, Xiatian Zhu, Mao Ye, Changshui Zhang

Int. J. Comput. Vis., 2024

Unified Source-Free Domain Adaptation.

Song Tang, Wenxin Su, Mao Ye, Jianwei Zhang, Xiatian Zhu

CoRR, 2024

2023

Adaptive Mutual Learning for Unsupervised Domain Adaptation.

Lihua Zhou, Siying Xiao, Mao Ye, Xiatian Zhu, Shuaifeng Li

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Thermal pedestrian detection based on different resolution visual image.

Songtao Li, Jinzhong Cui, Mao Ye, Ting Li, Liang Tian

Signal Image Video Process., November, 2023

Cross-domain video action recognition via adaptive gradual learning.

Dan Liu, Zhenwei Bao, Jinpeng Mi, Yan Gan, Mao Ye, Jianwei Zhang

Neurocomputing, November, 2023

360° Image Saliency Prediction by Embedding Self-Supervised Proxy Task.

Zizhuang Zou, Mao Ye, Shuai Li, Xue Li, Frédéric Dufaux

IEEE Trans. Broadcast., September, 2023

Robust self-supervised learning for source-free domain adaptation.

Liang Tian, Lihua Zhou, Hao Zhang, Zhenbin Wang, Mao Ye

Signal Image Video Process., July, 2023

Single-image HDR reconstruction by dual learning the camera imaging process.

Lei She, Mao Ye, Shuai Li, Yu Zhao, Ce Zhu, Hu Wang

Eng. Appl. Artif. Intell., April, 2023

OVQE: Omniscient Network for Compressed Video Quality Enhancement.

Liuhan Peng, Askar Hamdulla, Mao Ye, Shuai Li, Zengbin Wang, Xue Li

IEEE Trans. Broadcast., March, 2023

Generative adversarial networks with adaptive learning strategy for noise-to-image synthesis.

Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Mingliang Zhou

Neural Comput. Appl., March, 2023

Training generative adversarial networks by auxiliary adversarial example regulator.

Yan Gan, Mao Ye, Dan Liu, Yiguang Liu

Appl. Soft Comput., March, 2023

Spatio-Temporal Detail Information Retrieval for Compressed Video Quality Enhancement.

Dengyan Luo, Mao Ye, Shuai Li, Ce Zhu, Xue Li

IEEE Trans. Multim., 2023

Multi-Frame Compressed Video Quality Enhancement by Spatio-Temporal Information Balance.

Zeyang Wang, Mao Ye, Shuai Li, Xue Li

IEEE Signal Process. Lett., 2023

Learning-aware feature denoising discriminator.

Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye

Inf. Fusion, 2023

Source-Free Domain Adaptation with Frozen Multimodal Foundation Model.

Song Tang, Wenxin Su, Mao Ye, Xiatian Zhu

CoRR, 2023

Spatial-Temporal Transformer based Video Compression Framework.

Yanbo Gao, Wenjia Huang, Shuai Li, Hui Yuan, Mao Ye, Siwei Ma

CoRR, 2023

Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation.

Qichen He, Siying Xiao, Mao Ye, Xiatian Zhu, Ferrante Neri, Dongde Hou

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Unsupervised Feature Selection Using Both Similar and Dissimilar Structures.

Tao Xiang, Liang Tian, Peng Li, Jie Liu, Mao Ye

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Bit Allocation using Optimization.

Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

Proceedings of the International Conference on Machine Learning, 2023

Homeomorphism Alignment for Unsupervised Domain Adaptation.

Lihua Zhou, Mao Ye, Xiatian Zhu, Siying Xiao, Xuqian Fan, Ferrante Neri

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Prototype-Based Multisource Domain Adaptation.

Lihua Zhou, Mao Ye, Dan Zhang, Ce Zhu, Luping Ji

IEEE Trans. Neural Networks Learn. Syst., 2022

Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement.

Dengyan Luo, Mao Ye, Shuai Li, Xue Li

IEEE Signal Process. Lett., 2022

Self-Alignment for Black-Box Domain Adaptation of Image Classification.

Chang Liu, Lihua Zhou, Mao Ye, Xue Li

IEEE Signal Process. Lett., 2022

Source data-free domain adaptation for a faster R-CNN.

Lin Xiong, Mao Ye, Dan Zhang, Yan Gan, Yiguang Liu

Pattern Recognit., 2022

Semantic consistency learning on manifold for source data-free unsupervised domain adaptation.

Song Tang, Yan Zou, Zihao Song, Jianzhi Lyu, Lijuan Chen, Mao Ye, Shouming Zhong, Jianwei Zhang

Neural Networks, 2022

Domain adaptation based on source category prototypes.

Lihua Zhou, Mao Ye, Siying Xiao

Neural Comput. Appl., 2022

End-to-end video compression for surveillance and conference videos.

Shenhao Wang, Yu Zhao, Han Gao, Mao Ye, Shuai Li

Multim. Tools Appl., 2022

An explicit self-attention-based multimodality CNN in-loop filter for versatile video coding.

Menghu Jia, Yanbo Gao, Shuai Li, Jian Yue, Mao Ye

Multim. Tools Appl., 2022

Learning missing instances in latent space for incomplete multi-view clustering.

Zhiqi Yu, Mao Ye, Siying Xiao, Liang Tian

Knowl. Based Syst., 2022

Multi-source unsupervised domain adaptation for object detection.

Dan Zhang, Mao Ye, Yiguang Liu, Lin Xiong, Lihua Zhou

Inf. Fusion, 2022

Quality enhancement of compressed screen content video by cross-frame information fusion.

Jiawang Huang, Jinzhong Cui, Mao Ye, Shuai Li, Yu Zhao

Neurocomputing, 2022

Bit Allocation using Optimization.

Tongda Xu, Han Gao, Chenjian Gao, Jinyong Pi, Yanghao Li, Yuanyuan Wang, Ziyu Zhu, Dailan He, Mao Ye, Hongwei Qin, Yan Wang

CoRR, 2022

Attention-to-Embedding Framework for Multi-instance Learning.

Mei Yang, Yu-Xuan Zhang, Mao Ye, Fan Min

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification.

Zhenbin Wang, Mao Ye, Xiatian Zhu, Liuhan Peng, Liang Tian, Yingying Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Class Discriminative Adversarial Learning for Unsupervised Domain Adaptation.

Lihua Zhou, Mao Ye, Xiatian Zhu, Shuaifeng Li, Yiguang Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis.

Shuai Li, Kaixin Wang, Yanbo Gao, Xun Cai, Mao Ye

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Structure-Preserving Motion Estimation for Learned Video Compression.

Han Gao, Jinzhong Cui, Mao Ye, Shuai Li, Yu Zhao, Xiatian Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Recurrent Deformable Fusion for Compressed Video Artifact Reduction.

Liuhan Peng, Askar Hamdulla, Mao Ye, Shuai Li, Hongwei Guo

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

KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction.

Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Ce Zhu, Xue Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Content Adaptive Compressed Screen Content Video Quality Enhancement.

Yu Liu, Mao Ye, Yanbo Gao, Shuai Li, Yu Zhao, Xue Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

A Multiscale Gradient-Backpropagation Optimization Framework for Deformable Convolution Based Compressed Video Enhancement.

Yanbo Gao, Menghu Jia, Shuai Li, Xun Cai, Mao Ye, Frédéric Dufaux

Proceedings of the IEEE International Conference on Acoustics, 2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.

Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Source-Free Object Detection by Learning to Overlook Domain Style.

Shuaifeng Li, Mao Ye, Xiatian Zhu, Lihua Zhou, Lin Xiong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Bidirectional generative transductive zero-shot learning.

Xinpeng Li, Dan Zhang, Mao Ye, Xue Li, Qiang Dou, Qiao Lv

Neural Comput. Appl., 2021

Learning various length dependence by dual recurrent neural networks.

Chenpeng Zhang, Shuai Li, Mao Ye, Ce Zhu, Xue Li

Neurocomputing, 2021

Domain adaptation of object detector using scissor-like networks.

Lin Xiong, Mao Ye, Dan Zhang, Yan Gan, Dongde Hou

Neurocomputing, 2021

Unsupervised feature selection via multi-step markov probability relationship.

Yan Min, Mao Ye, Liang Tian, Yulin Jian, Ce Zhu, Shangming Yang

Neurocomputing, 2021

A new financial data forecasting model using genetic algorithm and long short-term memory network.

Yusheng Huang, Yelin Gao, Yan Gan, Mao Ye

Neurocomputing, 2021

Rain streaks removal from single image based on texture constraint of background scene.

Shuangli Du, Yiguang Liu, Mao Ye, Minghua Zhao, Zheng Li

Neurocomputing, 2021

Source data-free domain adaptation of object detector through domain-specific perturbation.

Lin Xiong, Mao Ye, Dan Zhang, Yan Gan, Xue Li, Yingying Zhu

Int. J. Intell. Syst., 2021

A novel hybrid augmented loss discriminator for text-to-image synthesis.

Yan Gan, Mao Ye, Dan Liu, Shangming Yang, Tao Xiang

Int. J. Intell. Syst., 2021

Local-Global Attentive Adaptation for Object Detection.

Dan Zhang, Jingjing Li, Xingpeng Li, Zhekai Du, Lin Xiong, Mao Ye

Eng. Appl. Artif. Intell., 2021

Alignment-Free Video Compression Artifact Reduction.

Dengyan Luo, Mao Ye, Shengjie Chen, Xue Li

Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Source-Style Transferred Mean Teacher for Source-data Free Object Detection.

Dan Zhang, Mao Ye, Lin Xiong, Shuaifeng Li, Xue Li

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Teacher-Supervised Generative Adversarial Networks.

Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Dan Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Attention guided neural network models for occluded pedestrian detection.

Tengtao Zou, Shangming Yang, Yun Zhang, Mao Ye

Pattern Recognit. Lett., 2020

Generative adversarial networks with denoising penalty and sample augmentation.

Yan Gan, Kedi Liu, Mao Ye, Yuxiao Zhang, Yang Qian

Neural Comput. Appl., 2020

Recurrent matching networks of spatial alignment learning for person re-identification.

Lan Lin, Dan Zhang, Xin Zheng, Mao Ye, Jiuxia Guo

Multim. Tools Appl., 2020

Knowledge based domain adaptation for semantic segmentation.

Yuxiao Zhang, Mao Ye, Yan Gan, Wencong Zhang

Knowl. Based Syst., 2020

Improving Action Recognition Using Sequence Prediction Learning.

Dan Liu, Mao Ye, Jianwei Zhang

Int. J. Pattern Recognit. Artif. Intell., 2020

Sentence guided object color change by adversarial learning.

Yan Gan, Kedi Liu, Mao Ye, Yang Qian

Neurocomputing, 2020

Unsupervised Feature Selection via Multi-step Markov Transition Probability.

Yan Min, Mao Ye, Liang Tian, Yulin Jian, Ce Zhu, Shangming Yang

CoRR, 2020

Improving Generalized Zero-Shot Learning by Semantic Discriminator.

Xinpeng Li, Mao Ye, Lihua Zhou, Dan Zhang, Ce Zhu, Yiguang Liu

CoRR, 2020

Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation.

Lihua Zhou, Mao Ye, Xinpeng Li, Ce Zhu, Yiguang Liu, Xue Li

CoRR, 2020

Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation.

Hanbin Dai, Liangbo Zhou, Feng Zhang, Zhengyu Zhang, Hong Hu, Xiatian Zhu, Mao Ye

CoRR, 2020

An Improved Attention-Based Spatiotemporal-Stream Model for Action Recognition in Videos.

Dan Liu, Yunfeng Ji, Mao Ye, Yan Gan, Jianwei Zhang

IEEE Access, 2020

FORF-S: A Novel Classification Technique for Class Imbalance Problem.

Yulin Jian, Mao Ye, Yan Min, Liang Tian, Guangjun Wang

IEEE Access, 2020

Squeeze Criterion GANs: Double Adversarial Learning Method.

Yan Gan, Tao Xiang, Mao Ye

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Distribution-Aware Coordinate Representation for Human Pose Estimation.

Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, Ce Zhu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Temporal dependency based Lagrange multiplier adaptation for HEVC.

Hongwei Guo, Ce Zhu, Yuyang Liu, Mao Ye, Lei Luo

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2020

2019

Adaptive Deep Convolutional Neural Networks for Scene-Specific Object Detection.

Xudong Li, Mao Ye, Yiguang Liu, Ce Zhu

IEEE Trans. Circuits Syst. Video Technol., 2019

Adaptive pedestrian detection by predicting classifier.

Song Tang, Mao Ye, Pei Xu, Xudong Li

Neural Comput. Appl., 2019

Real-time multi-class object detection using two-dimensional index.

Yumin Dou, Pei Xu, Mao Ye, Xue Li, Lishen Pei, Xudong Li

J. Real Time Image Process., 2019

Generative adversarial networks with augmentation and penalty.

Yan Gan, Kedi Liu, Mao Ye, Yang Qian

Neurocomputing, 2019

Efficient Human Pose Estimation in Hierarchical Context.

Feng Zhang, Xiatian Zhu, Mao Ye

IEEE Access, 2019

Cycle-Consistent Domain Adaptive Faster RCNN.

Dan Zhang, Jingjing Li, Lin Xiong, Lan Lin, Mao Ye, Shangming Yang

IEEE Access, 2019

Recurrent Models of Visual Co-Attention for Person Re-Identification.

Lan Lin, Huan Luo, Renjie Huang, Mao Ye

IEEE Access, 2019

Fast Human Pose Estimation.

Feng Zhang, Xiatian Zhu, Mao Ye

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Single image deraining via decorrelating the rain streaks and background scene in gradient domain.

Shuangli Du, Yiguang Liu, Mao Ye, Zhenyu Xu, Jie Li, Jianguo Liu

Pattern Recognit., 2018

Road segmentation for all-day outdoor robot navigation.

Yuxiao Zhang, Haiqiang Chen, Yiran He, Mao Ye, Xi Cai, Dan Zhang

Neurocomputing, 2018

Unpaired cross domain image translation with augmented auxiliary domain information.

Yan Gan, Junxin Gong, Mao Ye, Yang Qian, Kedi Liu

Neurocomputing, 2018

GANs with Multiple Constraints for Image Translation.

Yan Gan, Junxin Gong, Mao Ye, Yang Qian, Kedi Liu, Su Zhang

Complex., 2018

2017

Fast and Adaptive 3D Reconstruction With Extensively High Completeness.

Pengfei Wu, Yiguang Liu, Mao Ye, Jie Li, Shuangli Du

IEEE Trans. Multim., 2017

Geometry Guided Multi-Scale Depth Map Fusion via Graph Optimization.

Pengfei Wu, Yiguang Liu, Mao Ye, Zhenyu Xu, Yunan Zheng

IEEE Trans. Image Process., 2017

A Bayesian Approach to Camouflaged Moving Object Detection.

Xiang Zhang, Ce Zhu, Shuai Wang, Yipeng Liu, Mao Ye

IEEE Trans. Circuits Syst. Video Technol., 2017

Semi-supervised low-rank representation for image classification.

Chenxue Yang, Mao Ye, Song Tang, Tao Xiang, Zijian Liu

Signal Image Video Process., 2017

Accurate object detection using memory-based models in surveillance scenes.

Xudong Li, Mao Ye, Yiguang Liu, Feng Zhang, Dan Liu, Song Tang

Pattern Recognit., 2017

Adaptive pedestrian detection using convolutional neural network with dynamically adjusted classifier.

Song Tang, Mao Ye, Ce Zhu, Yiguang Liu

J. Electronic Imaging, 2017

Age invariant face recognition and retrieval by coupled auto-encoder networks.

Chenfei Xu, Qihe Liu, Mao Ye

Neurocomputing, 2017

Person Re-Identification by Optimally Organizing Multiple Similarity Measures.

Lan Lin, Renjie Huang, Xudong Li, Feng Zhang, Mao Ye

IEEE Access, 2017

Adaptive pedestrian detection by modulating features in dynamical environment.

Song Tang, Lijuan Chen, Jinpeng Mi, Mao Ye, Qingdu Li, Jianwei Zhang

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

Memory-based pedestrian detection through sequence learning.

Xudong Li, Mao Ye, Yiguang Liu, Ce Zhu

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016

Action recognition by learning temporal slowness invariant features.

Lishen Pei, Mao Ye, Xuezhuan Zhao, Yumin Dou, Jiao Bao

Vis. Comput., 2016

Learning spatio-temporal features for action recognition from the side of the video.

Lishen Pei, Mao Ye, Xuezhuan Zhao, Tao Xiang, Tao Li

Signal Image Video Process., 2016

Discriminative boosted forest with convolutional neural network-based patch descriptor for object detection.

Tao Xiang, Tao Li, Mao Ye, Xudong Li

J. Electronic Imaging, 2016

Domain adaptation of image classification based on collective target nearest-neighbor representation.

Song Tang, Mao Ye, Qihe Liu, Fan Li

J. Electronic Imaging, 2016

Learning Saliency Features for Face Detection and Recognition Using Multi-task Network.

Qian Zhao, Shuzhi Sam Ge, Mao Ye, Sibang Liu, Wei He

Int. J. Soc. Robotics, 2016

Memory-based object detection in surveillance scenes.

Xudong Li, Mao Ye, Dan Liu, Feng Zhang, Song Tang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Memory-based Gait Recognition.

Dan Liu, Mao Ye, Xudong Li, Feng Zhang, Lan Lin

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Learning to pool high-level features for face representation.

Renjie Huang, Mao Ye, Pei Xu, Tao Li, Yumin Dou

Vis. Comput., 2015

Fast multi-class action recognition by querying inverted index tables.

Lishen Pei, Mao Ye, Pei Xu, Tao Li

Multim. Tools Appl., 2015

Gas Recognition under Sensor Drift by Using Deep Learning.

Qihe Liu, Xiaonan Hu, Mao Ye, Xianqiong Cheng, Fan Li

Int. J. Intell. Syst., 2015

Fast crowd density estimation with convolutional neural networks.

Min Fu, Pei Xu, Xudong Li, Qihe Liu, Mao Ye, Ce Zhu

Eng. Appl. Artif. Intell., 2015

2014

Discriminative Hough context model for object detection.

Tao Li, Mao Ye, Jian Ding

Vis. Comput., 2014

Structured Streaming Skeleton - A New Feature for Online Human Gesture Recognition.

Xin Zhao, Xue Li, Chaoyi Pang, Quan Z. Sheng, Sen Wang, Mao Ye

ACM Trans. Multim. Comput. Commun. Appl., 2014

Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization.

Shangming Yang, Zhang Yi, Mao Ye, Xiaofei He

IEEE Trans. Knowl. Data Eng., 2014

One example based action detection in hough space.

Lishen Pei, Mao Ye, Pei Xu, Xuezhuan Zhao, Guanjun Guo

Multim. Tools Appl., 2014

An extension to Rough c-means clustering based on decision-theoretic Rough Sets model.

Fan Li, Mao Ye, Xudong Chen

Int. J. Approx. Reason., 2014

Dynamic Background Learning through Deep Auto-encoder Networks.

Pei Xu, Mao Ye, Xue Li, Qihe Liu, Yi Yang, Jian Ding

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Motion detection via a couple of auto-encoder networks.

Pei Xu, Mao Ye, Qihe Liu, Xudong Li, Lishen Pei, Jian Ding

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

2013

Global Minima Analysis of Lee and Seung's NMF Algorithms.

Shangming Yang, Mao Ye

Neural Process. Lett., 2013

Shadow compensation and illumination normalization of face image.

Haiyang Wang, Mao Ye, Shangming Yang

Mach. Vis. Appl., 2013

An Impulsive Periodic Single-Species Logistic System with Diffusion.

Chenxue Yang, Mao Ye, Zijian Liu

J. Appl. Math., 2013

Clothing-to-words mapping using word separation method.

Jinglei Zhou, Mao Ye, Jian Ding, Haiyang Wang, Xue Li

Comput. Electr. Eng., 2013

Rapid vehicle logo region detection based on information theory.

Songan Mao, Mao Ye, Xue Li, Feng Pang, Jinglei Zhou

Comput. Electr. Eng., 2013

Multi-class action recognition based on inverted index of action states.

Lishen Pei, Mao Ye, Pei Xu, Xuezhuan Zhao, Tao Li

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Abnormal crowd behavior detection using high-frequency and spatio-temporal features.

Bo Wang, Mao Ye, Xue Li, Fengjuan Zhao, Jian Ding

Mach. Vis. Appl., 2012

Multistability of α-divergence based NMF algorithms.

Shangming Yang, Mao Ye

Comput. Math. Appl., 2012

Extracting post-nonlinear signal with specific kurtosis range.

Dongxiao Ren, Mao Ye

Appl. Math. Comput., 2012

Object Detection Based on Several Samples with Trained Hough Spaces.

Pei Xu, Mao Ye, Min Fu, Xudong Li

Proceedings of the Pattern Recognition - Chinese Conference, 2012

Fast Action Detection with One Query Example Based on Hough Voting.

Lishen Pei, Mao Ye

Proceedings of the Pattern Recognition - Chinese Conference, 2012

2011

Delay-dependent BIBO stability analysis of switched uncertain neutral systems.

Lianglin Xiong, Shouming Zhong, Mao Ye

Math. Comput. Model., 2011

A Globally Convergent MCA Algorithm by Generalized Eigen-Decomposition.

Jianbin Gao, Mao Ye, Jianping Li, Qi Xia

Int. J. Comput. Intell. Syst., 2011

Hybrid fire detection using hidden Markov model and luminance map.

Liqiang Wang, Mao Ye, Jian Ding, Yuanxiang Zhu

Comput. Electr. Eng., 2011

Extracting post-nonlinear signal with reference.

Dongxiao Ren, Mao Ye

Comput. Electr. Eng., 2011

Extracting Specific Signal from Post-nonlinear Mixture Based on Maximum Negentropy.

Dongxiao Ren, Mao Ye, Yuanxiang Zhu

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

A novel way for fire detection in the video using Hidden Markov Model.

Jian Ding, Mao Ye

Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

2010

Improved exponential stability criteria for discrete-time neural networks with time-varying delay.

Zixin Liu, Shu Lü, Shouming Zhong, Mao Ye

Neurocomputing, 2010

Stabilization analysis for discrete-time systems with time delay.

Zixin Liu, Shu Lü, Shouming Zhong, Mao Ye

Appl. Math. Comput., 2010

Comparison of SFA and ICA.

Jianbin Gao, Mao Ye

Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010

2009

Dynamic analysis of an ecological model with impulsive control strategy and distributed time delay.

Hengguo Yu, Shouming Zhong, Mao Ye

Math. Comput. Simul., 2009

Mathematical and dynamic analysis of an ecological model with an impulsive control strategy and distributed time delay.

Hengguo Yu, Shouming Zhong, Mao Ye, Wufan Chen

Math. Comput. Model., 2009

Global asymptotic stability analysis of nonlinear differential equations in hybrid bidirectional associative memory neural networks with distributed time-varying delays.

Yongqiang Zhou, Shouming Zhong, Mao Ye, Zhiyuan Shi

Neurocomputing, 2009

Projected outlier detection in high-dimensional mixed-attributes data set.

Mao Ye, Xue Li, Maria E. Orlowska

Expert Syst. Appl., 2009

Blind Image Extraction by Using Local Smooth Information.

Mao Ye, Yongguo Liu, Ming Liu, Fan Li, Qihe Liu

Proceedings of the Fifth International Conference on Natural Computation, 2009

Applying pLSA to region-based image categorization with soft vector quantization.

Hong Wu, Yongguo Liu, Mao Ye

Proceedings of the First International Conference on Internet Multimedia Computing and Service, 2009

2008

A tabu search approach for the minimum sum-of-squares clustering problem.

Yongguo Liu, Zhang Yi, Hong Wu, Mao Ye, Kefei Chen

Inf. Sci., 2008

A few online algorithms for extracting minor generalized eigenvectors.

Mao Ye, Yongguo Liu, Hong Wu, Qihe Liu

Proceedings of the International Joint Conference on Neural Networks, 2008

An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection.

Yingying Zhu, Mao Ye, Naiqi Liu, Xin Zhao, Xue Li

Proceedings of the Fourth International Conference on Natural Computation, 2008

2007

An Efficient Measure of Signal Temporal Predictability for Blind Source Separation.

Mao Ye, Xue Li

Neural Process. Lett., 2007

A robust and Globally convergent PCA Learning Algorithm.

Mao Ye, Zhang Yi, Kok Kiong Tan

Control. Intell. Syst., 2007

Blind Separation of Positive Signals by Using Genetic Algorithm.

Mao Ye, Zengan Gao, Xue Li

Proceedings of the Advances in Neural Networks, 2007

Supervised Dimensionality Reduction on Streaming Data.

Mao Ye, Xue Li, Maria E. Orlowska

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

A Class of Self-Stabilizing MCA Learning Algorithms.

Mao Ye, Xuqian Fan, Xue Li

IEEE Trans. Neural Networks, 2006

Global convergence analysis of a discrete time nonnegative ICA algorithm.

Mao Ye

IEEE Trans. Neural Networks, 2006

Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm.

Mao Ye, Xue Li, Chengfu Yang, Zengan Gao

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold.

Mao Ye, Xuqian Fan, Qihe Liu

Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005

Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm.

Zhang Yi, Mao Ye, Jiancheng Lv, Kok Kiong Tan

IEEE Trans. Neural Networks, 2005

Complete Convergence of Competitive Neural Networks with Different Time Scales.

Mao Ye, Zhang Yi

Neural Process. Lett., 2005

A globally convergent learning algorithm for PCA neural networks.

Mao Ye, Zhang Yi, Jiancheng Lv

Neural Comput. Appl., 2005

Global convergence analysis of a self-stabilizing MCA learning algorithm.

Mao Ye

Neurocomputing, 2005

Robust Beamforming by a Globally Convergent MCA Neural Network.

Mao Ye

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Face Recognition Using Fisher Non-negative Matrix Factorization with Sparseness Constraints.

Xiaorong Pu, Zhang Yi, Ziming Zheng, Wei Zhou, Mao Ye

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Document Clustering Based on Nonnegative Sparse Matrix Factorization.

C. F. Yang, Mao Ye, Jing Zhao

Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004

Existence and asymptotic stability of relaxation discrete shock profiles.

Mao Ye

Math. Comput., 2004

On the Discrete Time Dynamics of the MCA Neural Networks.

Mao Ye, Zhang Yi

Proceedings of the Advances in Neural Networks, 2004

Convergence Analysis for Oja+ MCA Learning Algorithm.

Jiancheng Lv, Mao Ye, Zhang Yi

Proceedings of the Advances in Neural Networks, 2004