Convergence Analysis for Oja+ MCA Learning Algorithm. - Jiancheng Lv 001; Mao Ye 001; Zhang Yi 001 (ISNN (1), 2004)

On the Discrete Time Dynamics of the MCA Neural Networks. - Mao Ye 001; Zhang Yi 001 (ISNN (1), 2004)

Existence and asymptotic stability of relaxation discrete shock profiles. - Mao Ye 001 (Math. Comput., 2004)

Document Clustering Based on Nonnegative Sparse Matrix Factorization. - C. F. Yang; Mao Ye 001; Jing Zhao (ICNC (2), 2005)

Face Recognition Using Fisher Non-negative Matrix Factorization with Sparseness Constraints. - Xiaorong Pu; Zhang Yi 001; Ziming Zheng; Wei Zhou; Mao Ye 001 (ISNN (2), 2005)

Robust Beamforming by a Globally Convergent MCA Neural Network. - Mao Ye 001 (ISNN (1), 2005)

Global convergence analysis of a self-stabilizing MCA learning algorithm. - Mao Ye 001 (Neurocomputing, 2005)

A globally convergent learning algorithm for PCA neural networks. - Mao Ye 001; Zhang Yi 001; Jiancheng Lv 001 (Neural Comput. Appl., 2005)

Complete Convergence of Competitive Neural Networks with Different Time Scales. - Mao Ye 001; Zhang Yi 001 (Neural Process. Lett., 2005)

Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm. - Zhang Yi 001; Mao Ye 001; Jiancheng Lv 001; Kok Kiong Tan (IEEE Trans. Neural Networks, 2005)

Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold. - Mao Ye 001; Xuqian Fan; Qihe Liu (ICONIP (1), 2006)

Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm. - Mao Ye 001; Xue Li 001; Chengfu Yang; Zengan Gao (ISNN (1), 2006)

Global convergence analysis of a discrete time nonnegative ICA algorithm. - Mao Ye 001 (IEEE Trans. Neural Networks, 2006)

A Class of Self-Stabilizing MCA Learning Algorithms. - Mao Ye 001; Xuqian Fan; Xue Li 001 (IEEE Trans. Neural Networks, 2006)

Supervised Dimensionality Reduction on Streaming Data. - Mao Ye 001; Xue Li 001; Maria E. Orlowska (FSKD (1), 2007)

Blind Separation of Positive Signals by Using Genetic Algorithm. - Mao Ye 001; Zengan Gao; Xue Li 001 (ISNN (3), 2007)

A robust and Globally convergent PCA Learning Algorithm. - Mao Ye 001; Zhang Yi 001; Kok Kiong Tan (Control. Intell. Syst., 2007)

An Efficient Measure of Signal Temporal Predictability for Blind Source Separation. - Mao Ye 001; Xue Li 001 (Neural Process. Lett., 2007)

An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection. - Yingying Zhu 003; Mao Ye 001; Naiqi Liu; Xin Zhao 013; Xue Li 001 (ICNC (6), 2008)

A few online algorithms for extracting minor generalized eigenvectors. - Mao Ye 001; Yongguo Liu; Hong Wu; Qihe Liu (IJCNN, 2008)

A tabu search approach for the minimum sum-of-squares clustering problem. - Yongguo Liu; Zhang Yi 001; Hong Wu; Mao Ye 001; Kefei Chen (Inf. Sci., 2008)

Applying pLSA to region-based image categorization with soft vector quantization. - Hong Wu; Yongguo Liu; Mao Ye 001 (ICIMCS, 2009)

Blind Image Extraction by Using Local Smooth Information. - Mao Ye 001; Yongguo Liu; Ming Liu; Fan Li; Qihe Liu (ICNC (3), 2009)

New Stability Analysis for Switched Neutral Systems. - Lianglin Xiong; Shouming Zhong; Mao Ye 001 (ISCID (1), 2009)

Projected outlier detection in high-dimensional mixed-attributes data set. - Mao Ye 001; Xue Li 001; Maria E. Orlowska (Expert Syst. Appl., 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 001; Zhiyuan Shi (Neurocomputing, 2009)

Mathematical and dynamic analysis of an ecological model with an impulsive control strategy and distributed time delay. - Hengguo Yu; Shouming Zhong; Mao Ye 001; Wufan Chen (Math. Comput. Model., 2009)

Dynamic analysis of an ecological model with impulsive control strategy and distributed time delay. - Hengguo Yu; Shouming Zhong; Mao Ye 001 (Math. Comput. Simul., 2009)

Comparison of SFA and ICA. - Jianbin Gao; Mao Ye 001 (IWACI, 2010)

Stabilization analysis for discrete-time systems with time delay. - Zixin Liu; Shu Lü; Shouming Zhong; Mao Ye 001 (Appl. Math. Comput., 2010)

Improved exponential stability criteria for discrete-time neural networks with time-varying delay. - Zixin Liu; Shu Lü; Shouming Zhong; Mao Ye 001 (Neurocomputing, 2010)

A novel way for fire detection in the video using Hidden Markov Model. - Jian Ding; Mao Ye 001 (EMEIT, 2011)

Extracting Specific Signal from Post-nonlinear Mixture Based on Maximum Negentropy. - Dongxiao Ren; Mao Ye 001; Yuanxiang Zhu (ISNN (2), 2011)

Extracting post-nonlinear signal with reference. - Dongxiao Ren; Mao Ye 001 (Comput. Electr. Eng., 2011)

Hybrid fire detection using hidden Markov model and luminance map. - Liqiang Wang; Mao Ye 001; Jian Ding; Yuanxiang Zhu (Comput. Electr. Eng., 2011)

A Globally Convergent MCA Algorithm by Generalized Eigen-Decomposition. - Jianbin Gao; Mao Ye 001; Jianping Li; Qi Xia 001 (Int. J. Comput. Intell. Syst., 2011)

Delay-dependent BIBO stability analysis of switched uncertain neutral systems. - Lianglin Xiong; Shouming Zhong; Mao Ye 001 (Math. Comput. Model., 2011)

Fast Action Detection with One Query Example Based on Hough Voting. - Lishen Pei; Mao Ye 001 (CCPR, 2012)

Object Detection Based on Several Samples with Trained Hough Spaces. - Pei Xu; Mao Ye 001; Min Fu; Xudong Li 001 (CCPR, 2012)

Extracting post-nonlinear signal with specific kurtosis range. - Dongxiao Ren; Mao Ye 001 (Appl. Math. Comput., 2012)

Multistability of α-divergence based NMF algorithms. - Shangming Yang; Mao Ye 001 (Comput. Math. Appl., 2012)

Abnormal crowd behavior detection using high-frequency and spatio-temporal features. - Bo Wang; Mao Ye 001; Xue Li 001; Fengjuan Zhao; Jian Ding (Mach. Vis. Appl., 2012)

Multi-class action recognition based on inverted index of action states. - Lishen Pei; Mao Ye 001; Pei Xu; Xuezhuan Zhao; Tao Li (ICIP, 2013)

Rapid vehicle logo region detection based on information theory. - Songan Mao; Mao Ye 001; Xue Li 001; Feng Pang; Jinglei Zhou (Comput. Electr. Eng., 2013)

Clothing-to-words mapping using word separation method. - Jinglei Zhou; Mao Ye 001; Jian Ding; Haiyang Wang; Xue Li 001 (Comput. Electr. Eng., 2013)

An Impulsive Periodic Single-Species Logistic System with Diffusion. - Chenxue Yang; Mao Ye 001; Zijian Liu 001 (J. Appl. Math., 2013)

Shadow compensation and illumination normalization of face image. - Haiyang Wang; Mao Ye 001; Shangming Yang (Mach. Vis. Appl., 2013)

Global Minima Analysis of Lee and Seung's NMF Algorithms. - Shangming Yang; Mao Ye 001 (Neural Process. Lett., 2013)

Motion detection via a couple of auto-encoder networks. - Pei Xu; Mao Ye 001; Qihe Liu; Xudong Li 001; Lishen Pei; Jian Ding (ICME, 2014)

Dynamic Background Learning through Deep Auto-encoder Networks. - Pei Xu; Mao Ye 001; Xue Li 001; Qihe Liu; Yi Yang 001; Jian Ding (ACM Multimedia, 2014)

An extension to Rough c-means clustering based on decision-theoretic Rough Sets model. - Fan Li; Mao Ye 001; Xudong Chen (Int. J. Approx. Reason., 2014)

One example based action detection in hough space. - Lishen Pei; Mao Ye 001; Pei Xu; Xuezhuan Zhao; Guanjun Guo (Multim. Tools Appl., 2014)

Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization. - Shangming Yang; Zhang Yi 001; Mao Ye 001; Xiaofei He 001 (IEEE Trans. Knowl. Data Eng., 2014)

Structured Streaming Skeleton - A New Feature for Online Human Gesture Recognition. - Xin Zhao 013; Xue Li 001; Chaoyi Pang; Quan Z. Sheng; Sen Wang 001; Mao Ye 001 (ACM Trans. Multim. Comput. Commun. Appl., 2014)

Discriminative Hough context model for object detection. - Tao Li; Mao Ye 001; Jian Ding (Vis. Comput., 2014)

Fast crowd density estimation with convolutional neural networks. - Min Fu; Pei Xu; Xudong Li 001; Qihe Liu; Mao Ye 001; Ce Zhu (Eng. Appl. Artif. Intell., 2015)

Gas Recognition under Sensor Drift by Using Deep Learning. - Qihe Liu; Xiaonan Hu; Mao Ye 001; Xianqiong Cheng; Fan Li (Int. J. Intell. Syst., 2015)

Fast multi-class action recognition by querying inverted index tables. - Lishen Pei; Mao Ye 001; Pei Xu; Tao Li (Multim. Tools Appl., 2015)

Learning to pool high-level features for face representation. - Renjie Huang; Mao Ye 001; Pei Xu; Tao Li; Yumin Dou (Vis. Comput., 2015)

Memory-based Gait Recognition. - Dan Liu; Mao Ye 001; Xudong Li 001; Feng Zhang; Lan Lin (BMVC, 2016)

Memory-based object detection in surveillance scenes. - Xudong Li 001; Mao Ye 001; Dan Liu; Feng Zhang; Song Tang 001 (ICME, 2016)

Learning Saliency Features for Face Detection and Recognition Using Multi-task Network. - Qian Zhao 011; Shuzhi Sam Ge; Mao Ye 001; Sibang Liu; Wei He 001 (Int. J. Soc. Robotics, 2016)

Domain adaptation of image classification based on collective target nearest-neighbor representation. - Song Tang 001; Mao Ye 001; Qihe Liu; Fan Li (J. Electronic Imaging, 2016)

Discriminative boosted forest with convolutional neural network-based patch descriptor for object detection. - Tao Xiang 006; Tao Li; Mao Ye 001; Xudong Li 001 (J. Electronic Imaging, 2016)

Learning spatio-temporal features for action recognition from the side of the video. - Lishen Pei; Mao Ye 001; Xuezhuan Zhao; Tao Xiang 006; Tao Li (Signal Image Video Process., 2016)

Action recognition by learning temporal slowness invariant features. - Lishen Pei; Mao Ye 001; Xuezhuan Zhao; Yumin Dou; Jiao Bao (Vis. Comput., 2016)

Memory-based pedestrian detection through sequence learning. - Xudong Li 001; Mao Ye 001; Yiguang Liu; Ce Zhu (ICME, 2017)

Adaptive pedestrian detection by modulating features in dynamical environment. - Song Tang 001; Lijuan Chen; Jinpeng Mi; Mao Ye 001; Qingdu Li; Jianwei Zhang 001 (ROBIO, 2017)

Person Re-Identification by Optimally Organizing Multiple Similarity Measures. - Lan Lin; Renjie Huang; Xudong Li 001; Feng Zhang; Mao Ye 001 (IEEE Access, 2017)

Age invariant face recognition and retrieval by coupled auto-encoder networks. - Chenfei Xu; Qihe Liu; Mao Ye 001 (Neurocomputing, 2017)

Adaptive pedestrian detection using convolutional neural network with dynamically adjusted classifier. - Song Tang 001; Mao Ye 001; Ce Zhu; Yiguang Liu (J. Electronic Imaging, 2017)

Accurate object detection using memory-based models in surveillance scenes. - Xudong Li 001; Mao Ye 001; Yiguang Liu; Feng Zhang; Dan Liu; Song Tang 001 (Pattern Recognit., 2017)

Semi-supervised low-rank representation for image classification. - Chenxue Yang; Mao Ye 001; Song Tang 001; Tao Xiang 006; Zijian Liu 001 (Signal Image Video Process., 2017)

A Bayesian Approach to Camouflaged Moving Object Detection. - Xiang Zhang 006; Ce Zhu; Shuai Wang; Yipeng Liu 001; Mao Ye 001 (IEEE Trans. Circuits Syst. Video Technol., 2017)

Geometry Guided Multi-Scale Depth Map Fusion via Graph Optimization. - Pengfei Wu 002; Yiguang Liu; Mao Ye 001; Zhenyu Xu; Yunan Zheng (IEEE Trans. Image Process., 2017)

Fast and Adaptive 3D Reconstruction With Extensively High Completeness. - Pengfei Wu 002; Yiguang Liu; Mao Ye 001; Jie Li; Shuangli Du (IEEE Trans. Multim., 2017)

GANs with Multiple Constraints for Image Translation. - Yan Gan; Junxin Gong; Mao Ye 001; Yang Qian; Kedi Liu; Su Zhang (Complex., 2018)

Unpaired cross domain image translation with augmented auxiliary domain information. - Yan Gan; Junxin Gong; Mao Ye 001; Yang Qian; Kedi Liu (Neurocomputing, 2018)

Road segmentation for all-day outdoor robot navigation. - Yuxiao Zhang; Haiqiang Chen; Yiran He; Mao Ye 001; Xi Cai; Dan Zhang (Neurocomputing, 2018)

Single image deraining via decorrelating the rain streaks and background scene in gradient domain. - Shuangli Du; Yiguang Liu; Mao Ye 001; Zhenyu Xu; Jie Li; Jianguo Liu 005 (Pattern Recognit., 2018)

Fast Human Pose Estimation. - Feng Zhang; Xiatian Zhu; Mao Ye 001 (CVPR, 2019)

Recurrent Models of Visual Co-Attention for Person Re-Identification. - Lan Lin; Huan Luo; Renjie Huang; Mao Ye 001 (IEEE Access, 2019)

Cycle-Consistent Domain Adaptive Faster RCNN. - Dan Zhang; Jingjing Li 001; Lin Xiong; Lan Lin; Mao Ye 001; Shangming Yang (IEEE Access, 2019)

Efficient Human Pose Estimation in Hierarchical Context. - Feng Zhang; Xiatian Zhu; Mao Ye 001 (IEEE Access, 2019)

Generative adversarial networks with augmentation and penalty. - Yan Gan; Kedi Liu; Mao Ye 001; Yang Qian (Neurocomputing, 2019)

Real-time multi-class object detection using two-dimensional index. - Yumin Dou; Pei Xu; Mao Ye 001; Xue Li 001; Lishen Pei; Xudong Li 001 (J. Real Time Image Process., 2019)

Adaptive pedestrian detection by predicting classifier. - Song Tang 001; Mao Ye 001; Pei Xu; Xudong Li 001 (Neural Comput. Appl., 2019)

Adaptive Deep Convolutional Neural Networks for Scene-Specific Object Detection. - Xudong Li 001; Mao Ye 001; Yiguang Liu; Ce Zhu (IEEE Trans. Circuits Syst. Video Technol., 2019)

Temporal dependency based Lagrange multiplier adaptation for HEVC. - Hongwei Guo 001; Ce Zhu; Yuyang Liu; Mao Ye 001; Lei Luo 003 (BMSB, 2020)

Distribution-Aware Coordinate Representation for Human Pose Estimation. - Feng Zhang; Xiatian Zhu; Hanbin Dai; Mao Ye 001; Ce Zhu (CVPR, 2020)

Squeeze Criterion GANs: Double Adversarial Learning Method. - Yan Gan; Tao Xiang 001; Mao Ye 001 (ML4CS (2), 2020)

FORF-S: A Novel Classification Technique for Class Imbalance Problem. - Yulin Jian; Mao Ye 001; Yan Min; Liang Tian; Guangjun Wang (IEEE Access, 2020)

An Improved Attention-Based Spatiotemporal-Stream Model for Action Recognition in Videos. - Dan Liu; Yunfeng Ji; Mao Ye 001; Yan Gan; Jianwei Zhang 001 (IEEE Access, 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 001 (CoRR, 2020)

Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation. - Lihua Zhou; Mao Ye 001; Xinpeng Li 005; Ce Zhu; Yiguang Liu; Xue Li 001 (CoRR, 2020)

Unsupervised Feature Selection via Multi-step Markov Transition Probability. - Yan Min; Mao Ye 001; Liang Tian; Yulin Jian; Ce Zhu; Shangming Yang (CoRR, 2020)

Sentence guided object color change by adversarial learning. - Yan Gan; Kedi Liu; Mao Ye 001; Yang Qian (Neurocomputing, 2020)

Improving Action Recognition Using Sequence Prediction Learning. - Dan Liu; Mao Ye 001; Jianwei Zhang 001 (Int. J. Pattern Recognit. Artif. Intell., 2020)

Knowledge based domain adaptation for semantic segmentation. - Yuxiao Zhang; Mao Ye 001; Yan Gan; Wencong Zhang (Knowl. Based Syst., 2020)

Recurrent matching networks of spatial alignment learning for person re-identification. - Lan Lin; Dan Zhang; Xin Zheng; Mao Ye 001; Jiuxia Guo (Multim. Tools Appl., 2020)

Generative adversarial networks with denoising penalty and sample augmentation. - Yan Gan; Kedi Liu; Mao Ye 001; Yuxiao Zhang; Yang Qian (Neural Comput. Appl., 2020)

Attention guided neural network models for occluded pedestrian detection. - Tengtao Zou; Shangming Yang; Yun Zhang; Mao Ye 001 (Pattern Recognit. Lett., 2020)

Teacher-Supervised Generative Adversarial Networks. - Yan Gan; Tao Xiang 001; Hangcheng Liu; Mao Ye 001; Dan Liu (ICME, 2021)

Source-Style Transferred Mean Teacher for Source-data Free Object Detection. - Dan Zhang; Mao Ye 001; Lin Xiong; Shuaifeng Li; Xue Li 001 (MMAsia, 2021)

Alignment-Free Video Compression Artifact Reduction. - Dengyan Luo; Mao Ye 001; Shengjie Chen; Xue Li 001 (VCIP, 2021)

Local-Global Attentive Adaptation for Object Detection. - Dan Zhang; Jingjing Li 001; Xingpeng Li; Zhekai Du; Lin Xiong; Mao Ye 001 (Eng. Appl. Artif. Intell., 2021)

A novel hybrid augmented loss discriminator for text-to-image synthesis. - Yan Gan; Mao Ye 001; Dan Liu; Shangming Yang; Tao Xiang 001 (Int. J. Intell. Syst., 2021)

Source data-free domain adaptation of object detector through domain-specific perturbation. - Lin Xiong; Mao Ye 001; Dan Zhang; Yan Gan; Xue Li 001; Yingying Zhu 003 (Int. J. Intell. Syst., 2021)

Rain streaks removal from single image based on texture constraint of background scene. - Shuangli Du; Yiguang Liu; Mao Ye 001; Minghua Zhao; Zheng Li (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 001 (Neurocomputing, 2021)

Unsupervised feature selection via multi-step markov probability relationship. - Yan Min; Mao Ye 001; Liang Tian; Yulin Jian; Ce Zhu; Shangming Yang (Neurocomputing, 2021)

Domain adaptation of object detector using scissor-like networks. - Lin Xiong; Mao Ye 001; Dan Zhang; Yan Gan; Dongde Hou (Neurocomputing, 2021)

Learning various length dependence by dual recurrent neural networks. - Chenpeng Zhang; Shuai Li 005; Mao Ye 001; Ce Zhu; Xue Li 001 (Neurocomputing, 2021)

Bidirectional generative transductive zero-shot learning. - Xinpeng Li 005; Dan Zhang; Mao Ye 001; Xue Li 001; Qiang Dou; Qiao Lv (Neural Comput. Appl., 2021)

Frequency Domain Approximation in Deep Hashing. - Yu Zhao; Mao Ye 001; Fuchun Wang (ICCCS, 2022)

Source-Free Object Detection by Learning to Overlook Domain Style. - Shuaifeng Li; Mao Ye 001; Xiatian Zhu; Lihua Zhou; Lin Xiong (CVPR, 2022)

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Meisong Zheng; Qunliang Xing; Minglang Qiao; Mai Xu; Lai Jiang; Huaida Liu; Ying Chen 011; Youcheng Ben; Xiao Zhou; Chen Fu; et al. (CVPR Workshops, 2022)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (ECCV Workshops (3), 2022)

A Multiscale Gradient-Backpropagation Optimization Framework for Deformable Convolution Based Compressed Video Enhancement. - Yanbo Gao; Menghu Jia; Shuai Li 005; Xun Cai; Mao Ye 001; Frédéric Dufaux (ICASSP, 2022)

Content Adaptive Compressed Screen Content Video Quality Enhancement. - Yu Liu; Mao Ye 001; Yanbo Gao; Shuai Li 005; Yu Zhao; Xue Li 001 (ICME, 2022)

KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction. - Hu Wang; Mao Ye 001; Xiatian Zhu; Shuai Li 005; Ce Zhu; Xue Li 001 (IJCAI, 2022)

Recurrent Deformable Fusion for Compressed Video Artifact Reduction. - Liuhan Peng; Askar Hamdulla; Mao Ye 001; Shuai Li 005; Hongwei Guo 001 (ISCAS, 2022)

Structure-Preserving Motion Estimation for Learned Video Compression. - Han Gao; Jinzhong Cui; Mao Ye 001; Shuai Li 005; Yu Zhao; Xiatian Zhu (ACM Multimedia, 2022)

Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis. - Shuai Li 005; Kaixin Wang; Yanbo Gao; Xun Cai; Mao Ye 001 (ACM Multimedia, 2022)

Class Discriminative Adversarial Learning for Unsupervised Domain Adaptation. - Lihua Zhou; Mao Ye 001; Xiatian Zhu; Shuaifeng Li; Yiguang Liu (ACM Multimedia, 2022)

MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification. - Zhenbin Wang; Mao Ye 001; Xiatian Zhu; Liuhan Peng; Liang Tian; Yingying Zhu 003 (NeurIPS, 2022)

Attention-to-Embedding Framework for Multi-instance Learning. - Mei Yang 002; Yu-Xuan Zhang; Mao Ye 001; Fan Min 001 (PAKDD (2), 2022)

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Meisong Zheng; Qunliang Xing; Minglang Qiao; Mai Xu; Lai Jiang; Huaida Liu; Ying Chen 011; Youcheng Ben; Xiao Zhou; Chen Fu; et al. (CoRR, 2022)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (CoRR, 2022)

Bit Allocation using Optimization. - Tongda Xu; Han Gao; Chenjian Gao; Jinyong Pi; Yanghao Li; Yuanyuan Wang; Ziyu Zhu; Dailan He; Mao Ye 001; Hongwei Qin; Yan Wang 080 (CoRR, 2022)

Quality enhancement of compressed screen content video by cross-frame information fusion. - Jiawang Huang; Jinzhong Cui; Mao Ye 001; Shuai Li 005; Yu Zhao (Neurocomputing, 2022)

Multi-source unsupervised domain adaptation for object detection. - Dan Zhang; Mao Ye 001; Yiguang Liu; Lin Xiong; Lihua Zhou (Inf. Fusion, 2022)

Learning missing instances in latent space for incomplete multi-view clustering. - Zhiqi Yu; Mao Ye 001; Siying Xiao; Liang Tian (Knowl. Based Syst., 2022)

An explicit self-attention-based multimodality CNN in-loop filter for versatile video coding. - Menghu Jia; Yanbo Gao; Shuai Li 005; Jian Yue; Mao Ye 001 (Multim. Tools Appl., 2022)

End-to-end video compression for surveillance and conference videos. - Shenhao Wang; Yu Zhao; Han Gao; Mao Ye 001; Shuai Li 005 (Multim. Tools Appl., 2022)

Domain adaptation based on source category prototypes. - Lihua Zhou; Mao Ye 001; Siying Xiao (Neural Comput. Appl., 2022)

Semantic consistency learning on manifold for source data-free unsupervised domain adaptation. - Song Tang 001; Yan Zou; Zihao Song; Jianzhi Lyu; Lijuan Chen; Mao Ye 001; Shouming Zhong; Jianwei Zhang 001 (Neural Networks, 2022)

Source data-free domain adaptation for a faster R-CNN. - Lin Xiong; Mao Ye 001; Dan Zhang; Yan Gan; Yiguang Liu (Pattern Recognit., 2022)

Self-Alignment for Black-Box Domain Adaptation of Image Classification. - Chang Liu; Lihua Zhou; Mao Ye 001; Xue Li 001 (IEEE Signal Process. Lett., 2022)

Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement. - Dengyan Luo; Mao Ye 001; Shuai Li 005; Xue Li 001 (IEEE Signal Process. Lett., 2022)

Prototype-Based Multisource Domain Adaptation. - Lihua Zhou; Mao Ye 001; Dan Zhang; Ce Zhu; Luping Ji (IEEE Trans. Neural Networks Learn. Syst., 2022)

Homeomorphism Alignment for Unsupervised Domain Adaptation. - Lihua Zhou; Mao Ye 001; Xiatian Zhu; Siying Xiao; Xuqian Fan; Ferrante Neri (ICCV, 2023)

Bit Allocation using Optimization. - Tongda Xu; Han Gao; Chenjian Gao; Yuanyuan Wang; Dailan He; Jinyong Pi; Jixiang Luo; Ziyu Zhu; Mao Ye 001; Hongwei Qin; Yan Wang 080; Jingjing Liu; et al. (ICML, 2023)

Unsupervised Feature Selection Using Both Similar and Dissimilar Structures. - Tao Xiang 006; Liang Tian; Peng Li; Jie Liu; Mao Ye 001 (ICONIP (7), 2023)

Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation. - Qichen He; Siying Xiao; Mao Ye 001; Xiatian Zhu; Ferrante Neri; Dongde Hou (IJCAI, 2023)

Spatial-Temporal Transformer based Video Compression Framework. - Yanbo Gao; Wenjia Huang; Shuai Li 005; Hui Yuan 001; Mao Ye 001; Siwei Ma (CoRR, 2023)

Learning-aware feature denoising discriminator. - Yan Gan; Tao Xiang 001; Hangcheng Liu; Mao Ye 001 (Inf. Fusion, 2023)

Multi-Frame Compressed Video Quality Enhancement by Spatio-Temporal Information Balance. - Zeyang Wang; Mao Ye 001; Shuai Li 005; Xue Li 001 (IEEE Signal Process. Lett., 2023)

Spatio-Temporal Detail Information Retrieval for Compressed Video Quality Enhancement. - Dengyan Luo; Mao Ye 001; Shuai Li 005; Ce Zhu; Xue Li 001 (IEEE Trans. Multim., 2023)

Training generative adversarial networks by auxiliary adversarial example regulator. - Yan Gan; Mao Ye 001; Dan Liu; Yiguang Liu (Appl. Soft Comput., 2023)

Generative adversarial networks with adaptive learning strategy for noise-to-image synthesis. - Yan Gan; Tao Xiang 001; Hangcheng Liu; Mao Ye 001; Mingliang Zhou 001 (Neural Comput. Appl., 2023)

OVQE: Omniscient Network for Compressed Video Quality Enhancement. - Liuhan Peng; Askar Hamdulla; Mao Ye 001; Shuai Li 005; Zengbin Wang; Xue Li 001 (IEEE Trans. Broadcast., 2023)

Single-image HDR reconstruction by dual learning the camera imaging process. - Lei She; Mao Ye 001; Shuai Li 005; Yu Zhao; Ce Zhu; Hu Wang (Eng. Appl. Artif. Intell., 2023)

Robust self-supervised learning for source-free domain adaptation. - Liang Tian; Lihua Zhou; Hao Zhang; Zhenbin Wang; Mao Ye 001 (Signal Image Video Process., 2023)

Pre-encoding based temporal dependent rate-distortion optimization for HEVC. - Hongwei Guo 001; Ce Zhu; Mao Ye 001; Lei Luo 003; Xu Yang (Signal Process. Image Commun., 2023)

360° Image Saliency Prediction by Embedding Self-Supervised Proxy Task. - Zizhuang Zou; Mao Ye 001; Shuai Li 005; Xue Li 001; Frédéric Dufaux (IEEE Trans. Broadcast., 2023)

Cross-domain video action recognition via adaptive gradual learning. - Dan Liu; Zhenwei Bao; Jinpeng Mi; Yan Gan; Mao Ye 001; Jianwei Zhang 001 (Neurocomputing, 2023)

Thermal pedestrian detection based on different resolution visual image. - Songtao Li; Jinzhong Cui; Mao Ye 001; Ting Li; Liang Tian (Signal Image Video Process., 2023)

Adaptive Mutual Learning for Unsupervised Domain Adaptation. - Lihua Zhou; Siying Xiao; Mao Ye 001; Xiatian Zhu; Shuaifeng Li (IEEE Trans. Circuits Syst. Video Technol., 2023)

CTU-Level Lagrange Multiplier and QP Adaption for Random Access Hierarchical Coding in VVC. - Hongwei Guo 001; Ce Zhu; Yipeng Liu 001; Mao Ye 001; Lei Luo 003 (BMSB, 2024)

Source-Free Domain Adaptation with Frozen Multimodal Foundation Model. - Song Tang 001; Wenxin Su; Mao Ye 001; Xiatian Zhu (CVPR, 2024)

Adversarial Experts Model for Black-box Domain Adaptation. - Siying Xiao; Mao Ye 001; Qichen He; Shuaifeng Li; Song Tang 001; Xiatian Zhu (ACM Multimedia, 2024)

Cloud Object Detector Adaptation by Integrating Different Source Knowledge. - Shuaifeng Li; Mao Ye 001; Lihua Zhou; Nianxin Li; Siying Xiao; Song Tang 001; Xiatian Zhu (NeurIPS, 2024)

Unified Source-Free Domain Adaptation. - Song Tang 001; Wenxin Su; Mao Ye 001; Jianwei Zhang 001; Xiatian Zhu (CoRR, 2024)

Proxy Denoising for Source-Free Domain Adaptation. - Song Tang 001; Wenxin Su; Mao Ye 001; Jianwei Zhang 001; Xiatian Zhu (CoRR, 2024)

Deformable Feature Alignment and Refinement for Moving Infrared Dim-small Target Detection. - Dengyan Luo; Yanping Xiang; Hu Wang; Luping Ji; Shuai Li 005; Mao Ye 001 (CoRR, 2024)

Approximately Invertible Neural Network for Learned Image Compression. - Yanbo Gao; Meng Fu; Shuai Li 005; Chong Lv; Xun Cai; Hui Yuan 001; Mao Ye 001 (CoRR, 2024)

Rethinking Weak-to-Strong Augmentation in Source-Free Domain Adaptive Object Detection. - Jiuzheng Yang; Song Tang 001; Yangkuiyi Zhang; Shuaifeng Li; Mao Ye 001; Jianwei Zhang 001; Xiatian Zhu (CoRR, 2024)

LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAM. - Yucheng Huang; Luping Ji; Hudong Liu; Mao Ye 001 (CoRR, 2024)

Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype. - Song Tang 001; Chunxiao Zu; Wenxin Su; Yuan Dong; Mao Ye 001; Yan Gan; Xiatian Zhu (CoRR, 2024)

Shooting condition insensitive unmanned aerial vehicle object detection. - Jie Liu; Jinzong Cui; Mao Ye 001; Xiatian Zhu; Song Tang 001 (Expert Syst. Appl., 2024)

Source-Free Domain Adaptation via Target Prediction Distribution Searching. - Song Tang 001; An Chang; Fabian Zhang; Xiatian Zhu; Mao Ye 001; Changshui Zhang (Int. J. Comput. Vis., 2024)

Temporal cues enhanced multimodal learning for action recognition in RGB-D videos. - Dan Liu; Fanrong Meng; Qing Xia; Zhiyuan Ma 001; Jinpeng Mi; Yan Gan; Mao Ye 001; Jianwei Zhang 001 (Neurocomputing, 2024)

SPGAN: Siamese projection Generative Adversarial Networks. - Yan Gan; Tao Xiang 001; Deqiang Ouyang; Mingliang Zhou 001; Mao Ye 001 (Knowl. Based Syst., 2024)

Source bias reduction for source-free domain adaptation. - Liang Tian; Mao Ye 001; Lihua Zhou; Zhenbin Wang (Signal Image Video Process., 2024)

Toward Dense Moving Infrared Small Target Detection: New Datasets and Baseline. - Shengjia Chen; Luping Ji; Sicheng Zhu; Mao Ye 001; Haohao Ren; Yongsheng Sang (IEEE Trans. Geosci. Remote. Sens., 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 001; Xiaoyong Yao (IEEE Trans. Geosci. Remote. Sens., 2024)

Triple-Domain Feature Learning With Frequency-Aware Memory Enhancement for Moving Infrared Small Target Detection. - Weiwei Duan; Luping Ji; Shengjia Chen; Sicheng Zhu; Mao Ye 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Progressive Source-Aware Transformer for Generalized Source-Free Domain Adaptation. - Song Tang 001; Yuji Shi; Zihao Song; Mao Ye 001; Changshui Zhang; Jianwei Zhang 001 (IEEE Trans. Multim., 2024)

Source-free domain adaptation with Class Prototype Discovery. - Lihua Zhou; Nianxin Li; Mao Ye 001; Xiatian Zhu; Song Tang 001 (Pattern Recognit., 2024)

Disentanglement then reconstruction: Unsupervised domain adaptation by twice distribution alignments. - Lihua Zhou; Mao Ye 001; Xinpeng Li 005; Ce Zhu; Yiguang Liu; Xue Li 001 (Expert Syst. Appl., 2024)

Compressed-SDR to HDR Video Reconstruction. - Hu Wang; Mao Ye 001; Xiatian Zhu; Shuai Li 005; Xue Li 001; Ce Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Spatial-Temporal Adaptive Compressed Screen Content Video Quality Enhancement. - Chen Shu; Mao Ye 001; Hongwei Guo 001; Xue Li 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Stable Viewport-Based Unsupervised Compressed 360° Video Quality Enhancement. - Zizhuang Zou; Mao Ye 001; Xue Li 001; Luping Ji; Ce Zhu (IEEE Trans. Broadcast., 2024)

CLIP-guided black-box domain adaptation of image classification. - Liang Tian; Mao Ye 001; Lihua Zhou; Qichen He (Signal Image Video Process., 2024)

Multi-Level Alignments for Compressed Video Super-Resolution. - Liu Wei; Mao Ye 001; Luping Ji; Yan Gan; Shuai Li 005; Xue Li 001 (IEEE Trans. Consumer Electron., 2024)

Multi-Reference-Based Cross-Scale Feature Fusion for Compressed Video Super Resolution. - Lu Chen; Mao Ye 001; Luping Ji; Shuai Li 005; Hongwei Guo 001 (IEEE Trans. Broadcast., 2024)

Illumination Distribution-Aware Thermal Pedestrian Detection. - Songtao Li; Mao Ye 001; Luping Ji; Song Tang 001; Yan Gan; Xiatian Zhu (IEEE Trans. Intell. Transp. Syst., 2024)

Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection. - Shengjia Chen; Luping Ji; Weiwei Duan; Shuang Peng; Mao Ye 001 (AAAI, 2025)

Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification. - Jiaxiang Gou; Luping Ji; Pei Liu 008; Mao Ye 001 (AAAI, 2025)

Self-Prompting Analogical Reasoning for UAV Object Detection. - Nianxin Li; Mao Ye 001; Lihua Zhou; Song Tang 001; Yan Gan; Zizhuo Liang; Xiatian Zhu (AAAI, 2025)

Pseudo Visible Feature Fine-Grained Fusion for Thermal Object Detection. - Ting Li; Mao Ye 001; Tianwen Wu; Nianxin Li; Shuaifeng Li; Song Tang 001; Luping Ji (CVPR, 2025)

Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data. - Wenxin Su; Song Tang 001; Xiaofeng Liu; Xiaojing Yi; Mao Ye 001; Chunxiao Zu; Jiahao Li; Xiatian Zhu (CVPR, 2025)

Bayesian Test-Time Adaptation for Vision-Language Models. - Lihua Zhou; Mao Ye 001; Shuaifeng Li; Nianxin Li; Xiatian Zhu; Lei Deng; Hongbin Liu 001; Zhen Lei 001 (CVPR, 2025)

Proxy Denoising for Source-Free Domain Adaptation. - Song Tang 001; Wenxin Su; Yan Gan; Mao Ye 001; Jianwei Zhang 001; Xiatian Zhu (ICLR, 2025)

Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology. - Pei Liu 008; Luping Ji; Jiaxiang Gou; Bo Fu 007; Mao Ye 001 (ICLR, 2025)

Mutual supervision multi-source-free domain adaptation of image classification. - Liang Tian; Lihua Zhou; Shuaifeng Li; Yan Gan; Mao Ye 001 (Appl. Soft Comput., 2025)

Model adaptation via credible local context representation. - Song Tang 001; Wenxin Su; Yan Yang; Lijuan Chen; Mao Ye 001 (CAAI Trans. Intell. Technol., 2025)

ODE-based generative modeling: Learning from a single natural image. - Jian Yue; Yan Gan; Lihua Zhou; Yu Zhao; Shuaifeng Li; Mao Ye 001 (Expert Syst. Appl., 2025)

Multi-level semantic-assisted prototype learning for Few-Shot Action Recognition. - Dan Liu; Qing Xia; Fanrong Meng; Mao Ye 001; Jianwei Zhang 001 (Neurocomputing, 2025)

Boosting few-shot action recognition via time-enhanced multimodal adaptation learning. - Dan Liu; Qing Xia; Ai Peng; Zhouli Shen; Feng Zhang; Mao Ye 001; Jianwei Zhang 001 (Neurocomputing, 2025)

Few-shot medical image segmentation with high-fidelity prototypes. - Song Tang 001; Shaxu Yan; Xiaozhi Qi; Jianxin Gao; Mao Ye 001; Jianwei Zhang 001; Xiatian Zhu (Medical Image Anal., 2025)

SAM-Net: Semantic-assisted multimodal network for action recognition in RGB-D videos. - Dan Liu; Fanrong Meng; Jinpeng Mi; Mao Ye 001; Qingdu Li; Jianwei Zhang 001 (Pattern Recognit., 2025)

Adaptive Surveillance Video Compression With Background Hyperprior. - Yu Zhao; Song Tang 001; Mao Ye 001 (IEEE Signal Process. Lett., 2025)

Language-Driven Motion Prior Knowledge Learning for Moving Infrared Small Target Detection. - Shengjia Chen; Luping Ji; Shuang Peng; Sicheng Zhu; Mao Ye 001; Yongsheng Sang (IEEE Trans. Geosci. Remote. Sens., 2025)

Semi-Supervised Multiview Prototype Learning With Motion Reconstruction for Moving Infrared Small Target Detection. - Weiwei Duan; Luping Ji; Jianghong Huang; Shengjia Chen; Shuang Peng; Sicheng Zhu; Mao Ye 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Approximately Invertible Neural Network for Learned Image Compression. - Yanbo Gao; Shuai Li 005; Meng Fu; Chong Lv; Zhiyuan Yang; Xun Cai; Hui Yuan 001; Mao Ye 001 (IEEE Trans. Image Process., 2025)

Temporal Adaptive Learned Surveillance Video Compression. - Yu Zhao; Mao Ye 001; Luping Ji; Hongwei Guo 001; Ce Zhu (IEEE Trans. Broadcast., 2025)

LESEP: Boosting Adversarial Transferability via Latent Encoding and Semantic Embedding Perturbations. - Yan Gan; Chengqian Wu; Deqiang Ouyang; Song Tang 001; Mao Ye 001; Tao Xiang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

MICPL: Motion-Inspired Cross-Pattern Learning for Small-Object Detection in Satellite Videos. - Shengjia Chen; Luping Ji; Sicheng Zhu; Mao Ye 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Generative Adversarial Networks with Learnable Auxiliary Module for Image Synthesis. - Yan Gan; Chenxue Yang; Mao Ye 001; Renjie Huang; Deqiang Ouyang (ACM Trans. Multim. Comput. Commun. Appl., 2025)

High Dynamic Range Novel View Synthesis with Single Exposure. - Kaixuan Zhang; Hu Wang; Minxian Li; Mingwu Ren; Mao Ye 001; Xiatian Zhu (CoRR, 2025)

BeltCrack: the First Sequential-image Industrial Conveyor Belt Crack Detection Dataset and Its Baseline with Triple-domain Feature Learning. - Jianghong Huang; Luping Ji; Xin Ma; Mao Ye 001 (CoRR, 2025)

Weakly-supervised Contrastive Learning with Quantity Prompts for Moving Infrared Small Target Detection. - Weiwei Duan; Luping Ji; Shengjia Chen; Sicheng Zhu; Jianghong Huang; Mao Ye 001 (CoRR, 2025)

Text-Driven Causal Representation Learning for Source-Free Domain Generalization. - Lihua Zhou; Mao Ye 001; Nianxin Li; Shuaifeng Li; Jinlin Wu; Xiatian Zhu; Lei Deng; Hongbin Liu 001; Jiebo Luo 001; Zhen Lei 001 (CoRR, 2025)

Bidirectional Temporal Information Propagation for Moving Infrared Small Target Detection. - Dengyan Luo; Yanping Xiang; Hu Wang; Luping Ji; Shuai Li 005; Mao Ye 001 (CoRR, 2025)

Deformable Feature Alignment and Refinement for moving infrared small target detection. - Dengyan Luo; Yanping Xiang; Hu Wang; Luping Ji; Shuai Li 005; Mao Ye 001 (Pattern Recognit., 2026)