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2023年期刊论文
[1] Kun Fang, Fanghui Liu, Xiaolin Huang, Jie Yang: End-to-end Kernel Learning via Generative Random Fourier Features, Pattern Recognition, 134: 109057, 2023
[2] Chao Xia, Jiyue Wang, Yulei Qin, Juan Wen, Zhaojiang Liu, Ning Song, Lingqian Wu, Bing Chen,Y. Gu, Jie Yang: KaryoNet: An End-to-End Combinatorial Optimization Method for Chromosome Recognition in Metaphase Cell Images, IEEE Transactions on Medical Imaging, 1-14, 2023
[3] Yun Gu, Jie Yang, Guang-Zhong Yang: Towards Occlusion-Aware Pose Estimation of Surgical Suturing Threads, IEEE Transactions on Biomedical Engineering, 1-11, 2023
[4] Xin You,Yun Gu,Yingying Liu,Steve Lu,Xin Tang,Jie Yang: VerteFormer: A single-staged Transformer network for vertebrae segmentation from CT images with arbitrary field of views, Medical Physics, 6296-6318, 2023
2023年会议论文
[1] Xin You,Ming Ding,Minghui Zhang,Yangqian Wu,Yi Yu,Yun Gu,Jie Yang: Semantic Difference Guidance for the Uncertain Boundary Segmentation of CT Left Atrial Appendage, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, pp. 121-131, 2023
2022年期刊论文
[1] Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang: Universal Adversarial Attack on Attention and the Resulting Dataset DamageNet, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(4): 2188-2197, 2022
[2] Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng: A generalized framework for edge-preserving and structure-preserving image smoothing, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10): 6631-6648, 2022
[3] Yun Gu, Yunze Xu, Xiaolin Huang, Jie Yang, Wei Xue, Guang-zhong Yang: Towards robust histology-prior embedding for endomicroscopy image classification, IEEE Transactions on Medical Imaging, accepted, 2022
[4] Yuanjie Zheng, Xiaodan Sui,Yanyun Jiang, Tontong Che, Shaoting Zhang, Jie Yang, Hongsheng Li, : SymReg-GAN: Symmetric Image Registration with Generative Adversarial Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9): 5631-5646, 2022
[5] Enmei Tu, Zihao Wang, Jie Yang, Nikola Kasabov: Deep semi-supervised learning via dynamic anchor graph embedding in latent space, 146: 350-360, 2022
[6] Pourya Shamsolmoali, Jocelyn Chanussot, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang: Multipatch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, 60: accepted, 2022
[7] Pourya Shamsolmoali, Masoumeh Zareapoor, Jocelyn Chanussot, Huiyu Zhou, Jie Yang: Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery, IEEE Transactions on Geoscience and Remote Sensing, 60: accepted, 2022
[8] Zuopeng Yang, Pengbo Wang, Tianshu Chu, Jie Yang: Human-Centric Image Captioning, Pattern Recognition, 126: accepted, 2022
[9] Mujtaba Asad;He Jiang, Jie Yang, Enmei Tu, Aftab A Malik: Multi-Level Two-Stream Fusion-Based Spatio-Temporal Attention Model for Violence Detection and Localization, International Journal of Pattern Recognition and Artificial Intelligence, 36(1): accepted, 2022
[10] Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador Garcia, Eric Granger, Jie Yang: GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation, IEEE Transactions on Cybernetics , accepted, 2022
[11] Sheng Wan, Shirui Pan, Shengwe Zhong, Jie Yang, Jian Yang, Yibing Zhan, Chen Gong: Multi-level graph learning network for hyperspectral image classification, Pattern Recognition, accepted, 2022
[12] Lu Wang, Masoumeh Zareapoor, Jie Yang, Zhonglong Zheng: Asymmetric Correlation Quantization Hashing for Cross-modal Retrieval, IEEE Transactions on Multimedia, 24: 3665-3678, 2022
[13] Lihui Wang, Yao Hong, Yong-Bin Qin, Xin-Yu Cheng, Feng Yang, Jie Yang, Yue-Min Zhu, : Connecting macroscopic diffusion metrics of cardiac diffusion tensor imaging and microscopic myocardial structures based on simulation, Medical Image Analysis, 77: accepted, 2022
[14] Tianyi Zhang;Yun Gu;Xiaolin Huang, Jie Yang, Guang-Zhong Yang: Disparity-constrained stereo endoscopic image super-resolution, INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 17(5): 867-875, 2022
[15] Tianjiao Guo, Ziyun Liang, Yun Gu, Kun Liu, Xun Xu, Jie Yang, Qi Yu: Learning for retinal image quality assessment with label regularization, Computer Methods and Programs in Biomedicine, 228: accepted, 2022
[16] Lingtong Kong, Jinfeng Liu, Jie Yang: Progressive Motion Context Refine Network for Efficient Video Frame Interpolation, IEEE Signal Processing Letters, 39(28): 2338-2342, 2022
[17] Yun Gu, Yunze Xu, Xiaolin Huang, Jie Yang, Wei Xue, Guang-Zhong Yang: Toward Robust Histology-Prior Embedding for Endomicroscopy Image Classification, IEEE Transactions on Medical Imaging, 41(11): 3242-3252, 2022
[18] Kexin Lv, Zheng Sun, Fan He, Xiaolin Huang, Jie Yang,: One-Shot Distributed Generalized Eigenvalue Problem (DGEP): Concept, Algorithm and Experiments, APPLIED SCIENCES-BASEL, 12(10): accepted, 2022
[19] Xuelian Cui, Zhanjie Zhang, Tao Zhang, Zhuoqun Yang, Jie Yang: Attention graph: Learning effective visual features for large-scale image classification, JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY, 16: accepted, 2022
[20] Deying Feng, Jie Yang,Yaxia Wei, Hairong Xiao, Laigang Zhang: An Efficient Person Search Method Using Spatio-Temporal Features for Surveillance Videos, APPLIED SCIENCES-BASEL, 12(15): accepted, 2022
[21] Liyuan Chen, Huawen Liu;Jiashuaizi Mo,Dawei Zhang, Jie Yang, Feilong Lin, Zhonglong Zheng, Riheng Jia: Cross channel aggregation similarity network for salient object detection, INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 13(8): 2153-2169, 2022
[22] Lingli Guo, Zhenhong Jia, Jie Yang, Nikola K Kasabov.: Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior, SENSORS, 22(1): accepted, 2022
[23] Xufeng Ling, Jie Yang, Jingxin Liang, Huaizhong Zhu, Hui Sun: A Deep-Learning Based Method for Analysis of Students' Attention in Offline Class, ELECTRONICS, 11(17): accepted, 2022
[24] Dongdong Ni, Zhenhong Jia, Jie Yang, Nikola Kasabov: A fast sand-dust video quality improvement method based on adaptive dynamic guided filtering and interframe detection strategy, JOURNAL OF REAL-TIME IMAGE PROCESSING, 19(6): 1181-1197, 2022
[25] Yong Liu, Miao Sun, Zhenhong Jia , Jie Yang, : Denoising of Fluorescence Image on the Surface of Quantum Dot/ Nanoporous Silicon Biosensors, SENSORS, 22(4): accepted, 2022
[26] Weijie Chen, Zhenhong Jia, Jie Yang, Nikola K Kasabov, : Multispectral Image Enhancement Based on Weighted Principal Component Analysis and Improved Fractional Differential Mask, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 21: accepted, 2022
[27] Emrecan Altinsoy, Jie Yang, Enmei Tu: An improved denoising of G-banding chromosome images using cascaded CNN and binary classification network, VISUAL COMPUTER, 38(6): accepted, 2022
2022年会议论文
[1] Weihao Yu,Hao Zheng,Minghui Zhang,Hanxiao ZhangJiayuan Sun,Jie Yang: Break: Bronchi Reconstruction by Geodesic Transformation and Skeleton Embedding, in proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Kolkata, India, pp. 1-5, 2022
[2] Lingtong Kong,Boyuan Jiang,Donghao Luo,Wenqing Chu,Xiaoming Huang,Chengjie Wang,Ying Tai,Jie Yang: Intermediate Feature Refine Network for Efficient Frame Interpolation, in proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans Ernest N. Morial Convention Center, pp. 1959-1968, 2022
[3] Zuopeng Yang(Zuopeng Yang),Daqing Liu,Chaoyue Wang,Jie Yang,Dacheng Tao: Modeling Complex Scene Image Composition via Transformer with Focal Attention, in proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans Ernest N. Morial Convention Center, pp. 7764-7773, 2022
[4] Chao Xia,Jiyue Wang,Yulei Qin,Yun Gu,Bing Chen,Jie Yang: An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Resorts World Convention Centre Singapore, pp. 3-13, 2022
[5] Rui Wang,Yun Gu,Jie Yang: Cancer metastasis fast location based on coarse-to-fine network, in proceedings of Conference on Algorithms, Computing and Machine Learning (CACML), Hangzhou, China, pp. 223-227, 2022
[6] Pourya Shamsolmoali,Masoumeh Zareapoor,Eric Granger,Jocelyn Chanussot,Jie Yang: Enhanced Single-Shot Detector for Small Object Detection in Remote Sensing Images, in proceedings of IGARSS , Kuala Lumpur, Malaysia , pp. 1716-19, 2022
[7] Xin You,Yun Gu,Yingying Liu,Steve Lu,Xin Tang,Jie Yang: EG-Trans3DUNet: A Single-Staged Transformer-Based Model for Accurate Vertebrae Segmentation from Spinal Ct Images, in proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Kolkata, India, pp. 1-5, 2022
[8] Bo Li,Song Li,Jie Yang: Multi-task Semi-supervised Learning Framework for Surgical Instrument Pose Estimation, in proceedings of International Conference on Computing and Artificial Intelligence(ICCAI), Tianjin, China, pp. 698-704, 2022
[9] Kexin Lv,Zheng Sun,Fan He,Xiaolin Huang,Jie Yang: One-shot Distributed Algorithm for Generalized Eigenvalue Problem, in proceedings of International Conference on Computing and Artificial Intelligence(ICCAI), Tianjin, China, pp. 104-109, 2022
[10] Deying Feng,Jie Yang, Yanxia Wei,Hairong Xiao,Laigang Zhang: An Unsupervised Person Search Method for Video Surveillance, in proceedings of International Conference on Computing and Artificial Intelligence(ICCAI), Tianjin, China, pp. 625-630, 2022
[11] Xin You,Yun Gu,Junjun He,Hui Sun,Jie Yang: A More Design-Flexible Medical Transformer for Volumetric Image Segmentation, in proceedings of International Workshop on Machine Learning in Medical Imaging, Singapore, pp. 62-71, 2022
2021年期刊论文
[1] Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, Jie Yang: Adversarial Attack Type I: Cheat Classifiers by Significant Changes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(3): 1100-1109, 2021
[2] Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-zhong Yang: Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT, IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2021.3062280, 2021
[3] Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A.K. Suykens: Analysis of regularized least-squares in reproducing kernel Kreĭn spaces, Machine Learning, 1-29, 2021
[4] He Jiang,Mujtaba Asad,Xiaolin Huang,Jie Yang: Single image detail enhancement based on Metropolis theorem, Electronics Letters, 46-48, 2021
[5] Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A.K. Suykens: Generalization properties of hyper-RKHS and its applications, Journal of Machine Learning Research, 22(1): 1-38, 2021
[6] Fan He, Kexin Lv, Jie Yang, Xiaolin Huang: One-Shot Distributed Algorithm for PCA With RBF Kernels, IEEE Signal Processing Letters, 28(1): 1465-1469, 2021
[7] Hao Zheng;Yulei Qin;Yun Gu;Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang: Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation, IEEE Transactions on Medical Imaging, 38(6): 2139-2152, 2021
[8] Lu Wang, Jie Yang, Masoumeh Zareapoor, Zhonglong Zheng: Cluster-wise unsupervised hashing for cross-modal similarity search, Pattern Recognition, 111: accepted, 2021
[9] Pourya Shamsolmoali;Masoumeh Zareapoor;Eric Granger;Huiyu Zhou;Ruili Wang, Emre Celebi, M, Jie Yang, : Image synthesis with adversarial networks: A comprehensive survey and case studies, INFORMATION FUSION, 72: 126-146, 2021
[10] Masoumeh Zareapoor, Jie Yang: Equivariant Adversarial Network for Image-to-image Translation, ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 17(2): accepted, 2021
[11] Pourya Shamsolmoali;Masoumeh Zareapoor;Huiyu Zhou;Ruili Wang, Jie Yang, : Road Segmentation for Remote Sensing Images Using Adversarial Spatial Pyramid Networks, IEEE Transactions on Geoscience and Remote Sensing, 59(6): 4673-4688, 2021
[12] Donghao Shen;Masoumeh Zareapoor, Jie Yang, : Multimodal image fusion based on point-wise mutual information, IMAGE AND VISION COMPUTING, 105: accepted, 2021
[13] Chuyan Zhang;Yun Gu, Jie Yang, Guang-Zhong Yang, : Diversity-Aware Label Distribution Learning for Microscopy Auto Focusing, IEEE ROBOTICS AND AUTOMATION LETTERS, 6(2): 1942-1949, 2021
[14] Tianjiao Guo;Ziyun Liang;Yun Gu, Jie Yang, Qi Yu, : Deep multi-task framework for optic disc and fovea detection, Journal of Electronic Imaging, 30(4): accepted, 2021
[15] Gunnam Suryanarayana;Kandala Rajesh, Jie Yang, : Super-Resolution Based on Residual Learning and Optimized Phase Stretch Transform, INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 21(1): accepted, 2021
[16] Pourya Shamsolmoali;Masoumeh Zareapoor;Linlin Shen;Abdul Hamid Sadka, Jie Yang, : Imbalanced data learning by minority class augmentation using capsule adversarial networks, Neurocomputing, 459: 481-493, 2021
[17] Tongtong Che;Yuanjie Zheng;Yunshuai Yang;Sujuan Hou;Weikuan Jia, Jie Yang, Chen Gong, : SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks, IEEE Transactions on Image Processing, 30: 6036-6049, 2021
[18] Yongji Li;Rui Wu;Zhenhong Jia, Jie Yang, Nikola Kasabov: Video Desnowing and Deraining via Saliency and Dual Adaptive Spatiotemporal Filtering, SENSORS, 21(22): accepted, 2021
[19] Zhuang Huang;Zhenhong Jia, Jie Yang, Nikola Kasabov: An Effective Algorithm for Specular Reflection Image Enhancement, IEEE ACCESS, 9: 154513-154523, 2021
[20] Youxi He, Zhenhong Jia, Jie Yang, Nikola Kasabov: Multispectral Image Change Detection Based on Single-Band Slow Feature Analysis, REMOTE SENSING, 13(15): accepted, 2021
[21] Aiwen Jia;Zhen-Hong Jie, Jie Yang, Nikola Kasabov: Single-Image Snow Removal Based on an Attention Mechanism and a Generative Adversarial Network, 9: 12852-12860, 2021
[22] Ye Xin;Zhenhong Jia, Jie Yang, Nikola Kasabov: Specular Reflection Image Enhancement Based on a Dark Channel Prior, IEEE PHOTONICS JOURNAL, 13(1): accepted, 2021
2021年会议论文
[1] Hao Zheng,Yulei Qin,Yun Gu,Fangfang Xie,Jiayuan Sun,Jie Yang,Guangzhong Yang: Refined Local-imbalance-based Weight for Airway Segmentation in CT, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg,France, pp. 410-419, 2021
[2] Jing Huang,Xiaolin Huang,Jie Yang: UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks, in proceedings of International Joint Conferences on Artificial Intelligence (IJCAI), Montreal-themed virtual reality , pp. 2563-9, 2021
[3] Jinfeng Liu,Lingtong Kong,Jie Yang: Designing and Searching for Lightweight Monocular Depth Network, in proceedings of International Conference on Neural Information Processing (ICONIP), Sanur, Bali, Indonesia, pp. 477-488, 2021
[4] Xiaohang Yang,Lingtong Kong,Jie Yang: Homography Estimation Network Based on Dense Correspondence, in proceedings of International Conference on Neural Information Processing (ICONIP), Sanur, Bali, Indonesia, pp. 632-639, 2021
[5] Jing Huang,Xiaolin Huang,Jie Yang: RESIDUAL ENHANCED MULTI-HYPERGRAPH NEURAL NETWORK, in proceedings of IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, pp. 3657-61, 2021
[6] Ziyuan Liang,Yun Gu,Jie Yang: HARDMIX: A REGULARIZATION METHOD TO MITIGATE THE LARGE SHIFT IN FEW-SHOT DOMAIN ADAPTATION, in proceedings of IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, pp. 454-8, 2021
[7] Tianshu Chu,Zuopeng Yang(Zuopeng Yang),Jie Yang,Xiaolin Huang: IMPROVING THE ROBUSTNESS OF CONVOLUTIONAL NEURAL NETWORKS VIA SKETCH ATTENTION, in proceedings of IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, pp. 869-73, 2021
[8] Zhiqiang Xie,Enmei Tu,Hao Zheng,Yun Gu,Jie Yang: SEMI-SUPERVISED SKIN LESION SEGMENTATION WITH LEARNING MODEL CONFIDENCE, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), Toronto, ON, Canada, pp. 1135-9, 2021
[9] Lingtong Kong,Xiaohang Yang,Jie Yang: OCCLUSION AWARE SAMPLING NETWORK FOR ACCURATE OPTICAL FLOW;, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), Toronto, ON, Canada, pp. 2475-9, 2021
[10] Yizhang Huang,Kun Fang,Xiaolin Huang,Jie Yang: ADVMIX: DATA AUGMENTATION FOR ACCURATE SCENE TEXT SPOTTING, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), Toronto, ON, Canada, pp. 954-958, 2021
[11] Lingtong Kong,Chunhua Shen,Jie Yang: FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation, in proceedings of IEEE International Conference on Intelligent Robots and Systems (ICRA), Xi'an China, pp. 10310-10316, 2021
[12] Jiaqi Liu,Yu Qiao,Jie Yang,Guang-Zhong Yang,Yun Gu: Discriminative Asymmetric Learning for Efficient Surgical Instrument Parsing, in proceedings of IEEE International Conference on Intelligent Robots and Systems (ICRA), Xi'an China, pp. 13546-13552, 2021
[13] Xiaohang Yang,Lingtong Kong,Jie Yang: UNSUPERVISED MOTION REPRESENTATION ENHANCED NETWORK FOR ACTION RECOGNITION;2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING , in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), Toronto, ON, Canada, pp. 2445-2449, 2021
[14] Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong: Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks, in proceedings of International Conference on Pattern Recognition (ICPR), Milan, Italy, pp. 9988-9995, 2021
2020年期刊论文
[1] Fanghui Liu, Xiaolin Huang, Lei Shi, Jie Yang, Johan A.K. Suykens: A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels, IEEE Transactions on Neural Networks and Learning Systems, 31(8): 2162-2388, 2020
[2] Chao Ma, Chen Gong, Xiang Li, Xiaolin Huang, Wei Liu, Jie Yang: Towards Making Unsupervised Graph Hashing Discriminative, IEEE Transactions on Multimedia, 22(3): 760-774, 2020
[3] Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang: Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing, IEEE Transactions on Circuits and Systems for Video Technology, 30(1): 23-35, 2020
[4] Yun Gu, Khushi Vyas, Mali Shen, Jie Yang, Guang-Zhong Yang: Deep Graph-based Multimodal Feature Embedding for Endomicroscopy Image Retrieval, IEEE Transactions on Neural Networks and Learning Systems, 1(1): 1-1, 2020
[5] Tao Zhou , Changqing Zhang , Chen Gong , Harish Bhaskar, Jie Yang: Multiview Latent Space Learning With Feature Redundancy Minimization, IEEE Transactions on Cybernetics , 1, 2020
[6] Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian Reid: Real-time Image Smoothing via Iterative Least Squares, ACM Transactions on Graphics, 39(3): 1-10, 2020
[7] Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang: Mixed-Precision Quantized Neural Networks with Progressively Decreasing Bitwidth, Pattern Recognition, (111): 107647, 2020
[8] Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li: Learning Data-adaptive Non-parametric Kernels, Journal of Machine Learning Research, 21(208): 1-39, 2020
[9] He Jiang,Mujtaba Asad,Xiaolin Huang,Jie Yang: Learning in-place residual homogeneity for single image detail enhancement, Journal of Electronic Imaging, 43-73, 2020
[10] Mujtaba Asad,He Jiang, Pourya Shamsolmoali,Jie Yang: Multi-frame feature-fusion-based model for violence detection, The Visual Computer, 12: 1-10, 2020
[11] He Jiang,Mujtaba Asad,Enmei Tu,Aftab Ahmad Malik,Jie Yang: Multi-Stream 3D Latent Feature Clustering for Abnormality Detection in Videos, 期刊二, 1-10, 2020
2020年会议论文
[1] Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A.K. Suykens: Random Fourier Features via Fast Surrogate Leverage Weighted Sampling, in proceedings of AAAI Conference on Artificial Intelligence (AAAI), New York, USA, pp. 1-10, 2020
[2] Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian Reid: A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing, in proceedings of AAAI Conference on Artificial Intelligence (AAAI), New York, USA, pp. 1-8, 2020
[3] Yulei Qin, Yun Gu, Hao Zheng, Mingjian Chen, Jie Yang, Yue-Min Zhu: AIRWAYNET-SE: A Simple-yet-effective Approach to Improve Airway Segmentation using Context Scale Fusion, in proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Iowa City, Iowa, United States, pp. 0-0, 2020
[4] Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu: Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), https://miccai2020.org/en/, pp. 221--231, 2020
[5] Hao Zheng,Zhiguo Zhuang,Yulei Qin,Yun Gu,Jie Yang,Guang-Zhong Yang : Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, pp. 450-459, 2020
[6] Zifei Wang, Xiaolin Huang, Jie Yang, Nikola Kasabov: Universal Adversarial Perturbation Generated by Attacking Layer-wise Relevance Propagation, in proceedings of International Conference on Intelligent Systems(IS), Varna, Bulgaria, pp. 431-436, 2020
[7] Tianyi Zhang,Yun Gu,Xiaolin Huang,Enmei Tu,Jie Yang: STEREO ENDOSCOPIC IMAGE SUPER-RESOLUTION USING DISPARITY-CONSTRAINED PARALLEL ATTENTION, in proceedings of International Conference on Learning Representations (ICLR), Virtual Conference, Formerly Addis Ababa, pp. 1-6, 2020
[8] Jiaqi Liu:Yu Qiao,Jie Yang ,Yun Gu: Part-Boundary-Aware Networks for Surgical Instrument Parsing, in proceedings of International Conference on Neural Information Processing (ICONIP), Bangkok, Thailand, pp. 723–730, 2020
[9] Hang Xu,Yu Qiao, Yueyang Gu,Jie Yang: Combining Filter Bank and KSH for Image Retrieval in Bone Scintigraphy, in proceedings of International Conference on Neural Information Processing (ICONIP), Bangkok, Thailand,, pp. 197–206, 2020
[10] Lingtong Kong, Jie Yang: FDFLOWNET: FAST OPTICAL FLOW ESTIMATION USING A DEEP LIGHTWEIGHT NETWORK, in proceedings of IEEE International Conference on Image Processing (ICIP), Bangkok, Thailand, pp. 1501-1505, 2020
[11] Hualin He,Jie Yang,Nikola Kasabov: Application of an Improved Focal Loss in Vehicle Object Detection, in proceedings of International Conference on Artificial Intelligence and Soft Computing(ICAISC), Online, pp. 114–123, 2020
2019年期刊论文
[1] Fanghui Liu, Xiaolin Huang, Jie Yang, Chen Gong, Johan A.K. Suykens: Indefinite Kernel Logistic Regression with Concave-inexact-convex Procedure, IEEE Transactions on Neural Networks and Learning Systems, 30(3): 765-776, 2019
[2] Yulei Qin, Hao Zheng, Xiaolin Huang, Jie Yang, Yue-Min Zhu: Pulmonary nodule segmentation with CT sample synthesis using adversarial networks, Medical Physics, 46(3): 1218-1229, 2019
[3] Yun Gu, Jie Yang: Multi-level Magnification Correlation Hashing for Scalable Histopathological Image Retrieval, Neurocomputing, 1-1, 2019
[4] Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang: Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks, IEEE Transactions on Medical Imaging, 38(11): 2569-2581, 2019
2019年会议论文
[1] Yun Gu, Benjamin Walter, Jie Yang, Alex Meining, Guang-Zhong Yang: Triplet Feature Learning on Endoscopic Video Manifold for Real-time Gastrointestinal Image Retargeting, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, pp. 1-8, 2019
[2] Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang: AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, pp. 1, 2019
2018年期刊论文
[1] Fanghui Liu, Chen Gong, Xiaolin Huang,Tao Zhou, Jie Yang, Dacheng Tao: Robust Visual Tracking Revisited: From Correlation Filter to Template Matching, IEEE Transactions on Image Processing, 27(6): 2777-2790, 2018
[2] Wei Xu, Xiaolin Huang, Wei Liu, Haoyuan Chi, Jie Yang: Multi-Task Classification with Sequential Instances and Tasks, Signal Processing: Image Communication , 64: 59-67, 2018
[3] Keren Fu, Irene Yu-Hua Gu, Jie Yang: Spectral Salient Object Detection, Neurocomputing, 275: 788-803, 2018
[4] Tao Zhou, Fanghui Liu, Harish Bhaskar, Jie Yang: Online Discriminative Dictionary Learning for Robust Object Tracking, Neurocomputing, 275: 1801-1812, 2018
[5] Lei Zhou, Yu Zhao, Jie Yang: Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images, IET Image Processing, 12(4): 563-571, 2018
[6] Chao Ma, Yun Gu, Chen Gong, Jie Yang, Deying Feng: Unsupervised Video Hashing via Deep Neural Network, Neural Processing Letter, 877-890, 2018
[7] Chao Ma, Chen Gong, Yun Gu, Jie Yang, Deying Feng: SHISS: Supervised hashing with informative set selection, Pattern Recognition Letters, 105-113, 2018
[8] Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang: Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition, IEEE Transactions on Medical Imaging, 6: 1-8, 2018
[9] Chen Gong, Tongliang Liu, Yuanyan Tang, Dacheng Tao, Jian Yang, Jie Yang: A Regularization Approach for Instance-based Superset Label Learning, IEEE Transactions on Cybernetics , 48(3): 967-978, 2018
[10] Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang: Convolutional neural network in network (CNNiN): Hyperspectral image classification and dimensionality reduction, IET Image Processing, 0-0, 2018
[11] Yun Gu, Jie Yang: Densely-connected Multi-magnification Hashing for Histopathological Image Retrival, IEEE Journal of Biomedical and Health Informatics, 1-8, 2018
[12] Yun Gu, Mali Shen, Jie Yang, Guang-Zhong Yang: Reliable Label-efficient Learning for Biomedical Image Recognition, IEEE Transactions on Biomedical Engineering, 1-8, 2018
2018年会议论文
[1] Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li: Nonlinear Pairwise Layer and its Training for Kernel Learning, in proceedings of AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA, pp. 3659-3666, 2018
[2] He Jiang, Jie Yang: Learning In-place Residual Homogeneity for Image Detail Enhancement, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), Calgary, Canada, pp. 1-10, 2018
[3] Yulei Qin, Hao Zheng, Jie Yang, Yue-Min Zhu: Simultaneous Accurate Detection of Pulmonary Nodules and False Positive Reduction Using 3D CNNs, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), Calgary, Canada, pp. 1005-1009, 2018
[4] He Jiang, Huangkai Cai, Jie Yang: Learning in-place residual homogeneity for image detail enhancement, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), Calgary, Canada, pp. 1-10, 2018
[5] He Jiang, Guangtao Zhai, Huangkai Cai, Jie Yang: Scalable motion analysis based surveillace video de-noise, in proceedings of IEEE International Conference on Multimedia & Expo (ICME), San Diego, USA, pp. 1-10, 2018
[6] He Jiang, Zuopeng Yang, Huangkai Cai, Enmei Tu, Jie Yang: Structure-preserved image super resolution from learning scalable residual homogeneity, in proceedings of International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, pp. 1-10, 2018
[7] Yun Gu, Yang Hu, Lin Zhang, Jie Yang, Guang-Zhong Yang: Cross-scene Suture Thread Parsing for Robot Assisted Anastomosis based on Joint Representation Learning, in proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, pp. 1-8, 2018
[8] Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang: Weakly-supervised Reperesentation Learning for Endomicroscopy Image Analysis,, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, pp. 1-8, 2018
[9] Xiang Li,Chao Ma,Jie Yang,Xiaolin Huang: Discrete Locally-Linear Preserving Hashing, in proceedings of IEEE International Conference on Image Processing (ICIP), Athens, Greece, pp. 409-494, 2018
[10] Xiaoguang Niu, Yueyang Gu, Zhifeng Lu, Zehua Hong, Yi Tian, Kuan Xu, Jie Yang, Xingqi Fang, Yu Qiao: Occlusion detection in visual tracking: a new framework and a new benchmark, in proceedings of International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, pp. 0-0, 2018
[11] Sanli Tang, Haoyuan Chi, Jie Yang, Masoumeh Zareapoor, Xiaolin Huang: Deep Supervised Auto-encoder Hashing For Image Retrieval, in proceedings of Pattern Recognition and Computer Vision, Guang Zhou, China, pp. 0, 2018
[12] Xiang Li, Chao Ma, Jie Yang, Yu Qiao: Teach to Hash: A Deep Supervised Hashing Framework with Data Selection, in proceedings of International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, pp. 120-129, 2018
[13] Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang: Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, pp. 876-884, 2018
[14] Mingjian Chen,Hao Zheng,Changsheng Lu,Enmei Tu,Jie Yang,Nikola Kirilov Kasabov: A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI, in proceedings of International Conference on Neural Information Processing (ICONIP), , pp. 358-368, 2018
2017年期刊论文
[1] Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu, Xiangjian He, Jie Yang: Visual Tracking via Nonnegative Multiple Coding, IEEE Transactions on Multimedia, 19(12): 2680-2691, 2017
[2] Enmei Tu, Nikola Kasabov, Jie Yang: Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, a, IEEE Transactions on Neural Networks and Learning Systems, 28(6): 1305-1317, 2017
[3] Keren Fu, Irene Yu-Hua Gu, Jie Yang: Saliency Detection by Fully Learning A Continuous Conditional Random Field, IEEE Transactions on Multimedia, 19(7): 1531-1544, 2017
[4] Tao Zhou, Harish Bhaskar, Fanghui Liu, Jie Yang : Online learning and joint optimization of combined spatial-temporal models for robust visual trackin, Neurocomputing, 226: 221-237, 2017
[5] Wei Liu, Jie Yang: Robust Color Guided Depth Map Restoration, IEEE Transactions on Image Processing, 26(1): 315-327, 2017
[6] Chenjie Ge, Nikola Kasabov, Jie Yang: A spiking neural network model for obstacle avoidance in simulated prosthetic vision, Information Sciences, 399: 30-42, 2017
[7] Yun Gu, Haoyang Xue, Jie Yang: Cross-Modal Saliency Correlation for Image Annotation, Neural Processing Letter, 45(3): 777-789, 2017
[8] Pengpeng Zhang, Yu Qiao, Shengzheng Wang, Jie Yang, Yuemin Zhu: A robust coherent point drift approach based on rotation invariant shape context, Neurocomputing, 219: 455-473, 2017
[9] He Jiang, Jie Yang: In-place similarity and its applications in image and video detail enhancemen, Electronics Letters, 52(12): 1022-1024, 2017
[10] Kasabov, Nikola, Lei Zhou*, Maryam G. Doborjeh*, Zohreh Gholami, Jie Yang: New Algorithms for Encoding, Learning and Classification of fMRI Data in a Spiking Neural Network Architecture: A Case on Modelling and Understanding of Dynamic Cognitive Processes, IEEE Transactions on Cognitive and Developmental Systems, 9(4): 293-303, 2017
[11] Masoumeh Zareapoor, Jie Yang: A Novel Strategy for Mining Highly Imbalanced Data in Credit Card Transactions, Intelligent Automation & Soft Computing, 0-0, 2017
[12] Tao Zhou, Harish Bhaskar, Fanghui Liu, Jie Yang: Graph Regularized and Locality-constrained Coding for Robust Visual Tracking, IEEE Transactions on Circuits and Systems for Video Technology, 27(10): 2153-2164, 2017
[13] Fei Zhou, Zhenhong Jia, Jie Yang, Nikola Kasabov: Method of Improved Fuzzy Contrast Combined Adaptive Threshold in NSCT for Medical Image Enhancement, BioMed Research International, 0-0, 2017
[14] Lu Liu, Zhenhong Jia, Jie Yang, Nikola Kasabov: A remote sensing image enhancement method using mean filter and unsharp masking in non-subsampled contourlet transform domain, Transactions of the Institute of Measurement and Control , 39(2): 183-193, 2017
2017年会议论文
[1] Fanghui Liu, Xiaolin Huang, Jie Yang: Indefinite Kernel Logistic Regression, in proceedings of ACM on Multimedia Conference (ACM MM), Mountain View, CA, USA, pp. 846-857, 2017
[2] Haiyan Yang, Xiaolin Huang, Cheng Peng, Jie Yang, Li Li: A New Bayesian Method for Jointly Sparse Signal Recovery, in proceedings of International Conference on Neural Information Processing (ICONIP), Guangzhou, China, pp. 886-894, 2017
[3] Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola Kasabov: Robust Kernel Approximation for Classification, in proceedings of International Conference on Neural Information Processing (ICONIP), Guangzhou, China, pp. 289-296, 2017
[4] Xiaolin Huang, Yan Xia, Yixing Huang, Joachim Hornegger, Jie Yang, Andreas Maier: Truncation Artifact Reduction in Cone-beam CT using Mixed One-bit Compressive Sensing, in proceedings of International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), Xi'an, China, pp. 289-296, 2017
[5] He Jiang, Jie Yang: Optimized Image Up-Scaling from Learning Selective Similarity, in proceedings of International Conference on Neural Information Processing (ICONIP), Guangzhou, China, pp. 467-475, 2017
[6] He Jiang, Guangtao Zhai, Jie Yang: Single image detail enhancement via residual homogeneity, in proceedings of IEEE International Conference on Multimedia & Expo (ICME), Hong Kong, China, pp. 238-242, 2017
[7] Wei Liu, Xiaogang Chen,Chuanhua Shen, Zhi Liu,Jie Yang: Semi-Global Weighted Least Squares in Image Filtering, in proceedings of IEEE International Conference on Computer Vision (ICCV), Italy, pp. 0-0, 2017
[8] Yun Gu, Khushi Vyas,Jie Yang,Guangzhong Yang: Unsupervised Feature Learning for Endomicroscopy Image Retrieval, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), ?, pp. 0-0, 2017
[9] Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang: Self-paced Least Square Semi-coupled Dictionary Learning for Person Re-identification, in proceedings of IEEE International Conference on Image Processing (ICIP), Beijing, pp. 0-0, 2017
[10] Zhongwei Feng, Jie Yang, Lixiu Yao: PATCH-BASED FULLY CONVOLUTIONAL NEURAL NETWORK WITH SKIP CONNECTIONS FOR RETINAL BLOOD VESSEL SEGMENTATION, in proceedings of IEEE International Conference on Image Processing (ICIP), Beijing, pp. 0-0, 2017
[11] Tao Zhou, Fanghui Liu, Harish Bhaskar, Jie Yang, Lei Chen, Ping Cai: Visual Tracking via Structural Patch-based Dictionary Pair Learning, in proceedings of IEEE International Conference on Image Processing (ICIP), Beijing, pp. 0-0, 2017
[12] Zhipeng Cui, Qiao Zhang, Shijie Geng, Xiaoguang Niu, Jie Yang, Yu Qiao: SEMANTIC SEGMENTATION WITH MULTI-PATH REFINEMENT AND PYRAMID POOLING DILATED-RESNET, in proceedings of IEEE International Conference on Image Processing (ICIP), Beijing, pp. 0-0, 2017
[13] Zhongwei Feng, Jie Yang, Lixiu Yao, Qi Yu and Xun Xu: Deep Retinal Image Segmentation: A FCN-based Architecture With Short And Long Skip Connections For Retinal Image Segmentation, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 0-0, 2017
[14] Cheng Peng, Fanghui Liu, Haiyan Yang, Jie Yang and Nikola Kasabov: Correlation Filters with Adaptive Memories and Fusion for Visual Tracking, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 0-0, 2017
[15] Xiaoguang Niu, Zhipeng Cui, Jie Yang and Yu Qiao: Robust Visual Tracking via Occlusion Detection Based on Depth-layer Information, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 0-0, 2017
[16] Siqian Chen, Jie Yang, Jia Feng, Yun Gu: IMAGE SENTIMENT ANALYSIS USING SUPERVISED COLLECTIVE MATRIX FACTORIZATION, in proceedings of IEEE Conference on Industrial Electronics & Applications (ICIEA), ?, pp. 0-0, 2017
[17] Yixin Li, Jie Yang: Investigation of polycrystalline silicon, thin-film transistors based dynamic flat panel detectors, in proceedings of IEEE Conference on Industrial Electronics & Applications (ICIEA), ?, pp. 0-0, 2017
[18] Xiaoguang Niu, Zhipeng Cui, Shijie Geng, Jie Yang, Yu Qiao: Robust visual tracking via occlusion detection based on depth-layer information, in proceedings of International Conference on Neural Information Processing (ICONIP), Guangzhou, China, pp. 44–53, 2017
2016年期刊论文
[1] Chen Gong, Dacheng Tao, Wei Liu, Liu Liu, Jie Yang: Label Propagation via Teaching-to-Learn and Learning-to-Teach, IEEE Transactions on Neural Networks and Learning Systems, 28(6): 1452-1465, 2016
[2] Enmei Tu,Yaqian Zhang, Lin Zhu, Jie Yang, Nikola Kasabov: A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Clas, Information Sciences, 367: 673-688, 2016
[3] Chen Gong, Dacheng Tao, Stephen J. Maybank, Wei Liu, Guoliang Kang, Jie Yang: Multi-Modal Curriculum Learning for Semi-Supervised Image Classification, IEEE Transactions on Image Processing, 25(7): 3249-3260, 2016
[4] Fanghui Liu, Tao Zhou, Jie Yang: Geometric Affine Transformation Estimation via Correlation Filter for Visual Tracking, Neurocomputing, 214: 109-120, 2016
[5] Keren Fu, Irene Y. H. Gu, Chen Gong, Jie Yang: Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction, Neurocomputing, 175: 336-347, 2016
[6] Yun Gu, Haoyang Xue, Jie Yang: Cross-Modal Saliency Correlation for Image Annotation, Neural Processing Letter, 1-13, 2016
[7] Peng-Peng Zhang, Yu Qiao, Sheng-Zheng Wang, Jie Yang: Reference-omitted affine soft correspondence algorithm, IET Image Processing, 10(8): 571-581, 2016
[8] Ge, Chenjie, Fu, Keren, Liu, Fanghui , Li Bai, Jie Yang: Co-saliency detection via inter and intra saliency propagation, Signal Processing: Image Communication , 44: 69-83, 2016
2016年会议论文
[1] Chao Ma, Yun Gu, Wei Liu, Jie Yang, Xiangjian He: Unsupervised video hashing by exploiting spatio-temporal feature, in proceedings of International Conference on Neural Information Processing (ICONIP), Kyoto, Japan, pp. 511-518, 2016
[2] Chen Gong, Dacheng Tao, Jie Yang: Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation, in proceedings of AAAI Conference on Artificial Intelligence (AAAI), ?, pp. 0-0, 2016
[3] Yun Gu, Chao Ma, Jie Yang: Supervised Recurrent Hashing for Large Scale Video Retrieval, in proceedings of ACM on Multimedia Conference (ACM MM), ?, pp. 272-276, 2016
[4] Yun Gu, Guang-Zhong Yang, Jie Yang: Multi-View Multi-Model Embedding for Endomicroscopy Mosaics Classification, in proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), ?, pp. 0-0, 2016
[5] Wei Liu, Xiaogang Chen, Jie Yang, Qiang Wu: ROBUST WEIGHTED LEAST SQUARES FOR GUIDED DEPTH UPSAMPLING, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2016
[6] Yu Zhao, Lei Zhou, Keren Fu, Jie Yang: ABNORMAL EVENT DETECTION USING SPATIO-TEMPORAL FEATURE AND NONNEGATIVE LOCALITY-CONSTRAINED LINEAR CODING, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2016
[7] Lei Zhou, Penglin Li, Qi Yu, Yu Qiao, Jie Yang: AUTOMATIC HEMORRHAGE DETECTION IN COLOR FUNDUS IMAGES BASED ON GRADUAL REMOVAL OF VASCULAR BRANCHES, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2016
[8] Kunqi Gu, Tao Zhou, Fanghui Liu, Jie Yang, Yu Qiao: Correlation Filter Tracking via Bootstrap Learning, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2016
[9] Liqun Ji, Yun Gu, Kun Sun, Jie Yang, Yu Qiao: congenital heart disease (CHD) discrimination in fetal echocardiogram based on 3D feature fusion, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2016
[10] Shuai Yu, Tao Zhang, Chao Ma, Lei Zhou, Jie Yang, Xiangjian He: Learning a Discriminative Dictionary with CNN for Image Classification, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 185-194, 2016
[11] Fanghui Liu, Mingna Liu, Tao Zhou, Yu Qiao, Jie Yang: Incremental Robust Nonnegative Matrix Factorization for Object tracking, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 0-0, 2016
[12] Qiuxing Chen, Lixiu Yao, Jie Yang: SHORT TEXT CLASSIFICATION BASED ON LDA TOPIC MODEL, in proceedings of ICALIP, ?, pp. 0-0, 2016
[13] Penglin Li, Mengxun Liu, Yun Gu, Lixiu Yao, Jie Yang: FusionAdaptive Multi-Metric Fusion for Person Re-identification, in proceedings of CCPR, ?, pp. 0-0, 2016
[14] Mengxue Liu, Qi Yu, Jie Yang, Yu Qiao, Xun Xu: Local Connectedness Constraint and Contrast Normalization Based Microaneurysm Detection, in proceedings of CCPR, ?, pp. 0-0, 2016
2015年期刊论文
[1] Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang: Normalized Cut-Based Saliency Detection by Adaptive Multi-Level Region Merging, IEEE Transactions on Image Processing, 24(12): 5671-5683, 2015
[2] Chen Gong, Dacheng Tao, Tongliang Liu, Keren Fu, Enmei Tu, Jie Yang: Deformed Graph Laplacian for Semi-supervised Learning, IEEE Transactions on Neural Networks and Learning Systems, 26(10): 2261-2274, 2015
[3] Chen Gong, Dacheng Tao, Keren Fu, Jie Yang: Fick’s Law Assisted Propagation for Semi-Supervised Learning, IEEE Transactions on Neural Networks and Learning Systems, 26(9): 2148-2162, 2015
[4] Shengzheng Wang, Jie Yang: A Probabilistic Model for Latent Least Squares Regression, Neurocomputing, 149: 1155-1161, 2015
[5] Enmei Tu, Jie Yang, Nicola Kasabov, Yaqian Zhang: Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples, Neurocomputing, 157: 173-186, 2015
[6] Tao Zhou,Xiangjian He,Kai Xie,Keren Fu,Junhao Zhang,Jie Yang: Robust visual tracking via efficient manifold ranking with low-dimensional compressive features, Pattern Recognition, 48(8): 2459-2473, 2015
[7] Yijun Li,Keren Fu,Zhi Liu,Jie Yang: Efficient Saliency-Model-Guided Co-saliency Detection, IEEE Signal Processing Letters, 22(5): 588-592, 2015
[8] Yipeng Song, Jie Yang, Lei Zhou, Yuemin Zhu: Electric Field Based Transfer Functions for Volume Visualization, Journal of Medical and Biological Engineering, 35: 270-277, 2015
[9] Tao Zhou, Jie YANG, Artur Loza, Mohammed Al-Mualla, Harish BhaskarA: Crowd Modelling Framework using Fast Head Detection and Shape-Aware Matching, Journal of Electronic Imaging, 24(2): 0-0, 2015
[10] Tao Zhou, Kai Xie, Junhao Zhang, Jie YANG, Xiang-jian (Sean) He: Robust object tracking based on weighted subspace reconstruction error with forward-backward tracking criterion, Journal of Electronic Imaging, 24(3): 0-0, 2015
[11] Lei Zhou, Yijun Li, Rocky Zhou, Yu Qiao, Jie YANG, YongHui Gao: On Feature-Specific Parameters Learning in CRF-based Approach for Interactive Object Segmentation, Journal of Electronic Imaging, 0-0, 2015
2015年会议论文
[1] Chen Gong, Dacheng Tao , Wei Liu, Stephen Maybank, Meng Fang, Keren Fu, Jie Yang: Teaching-to-Learn and Learning-to-Teach Saliency, in proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), ?, pp. 0-0, 2015
[2] Keren Fu, Chen Gong, Irene Y.H. Gu, Jie Yang, Pengfei Shi: SALIENT OBJECT DETECTION USING NORMALIZED CUT AND GEODESICS, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2015
[3] Chenjie Ge, Keren Fu, Yijun Li, Jie Yang, Pengfei shi, Li Bai: CO-SALIENCY DETECTION VIA SIMILARITY-BASED SALIENCY PROPAGATION, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2015
[4] Yun Gu, Haoyang Xue, Jie Yang, Pengfei Shi: CROSS-MODALITY HASHING WITH PARTIAL CORRESPONDENCE, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2015
[5] Shuai Huang, Yun Gu, Jie Yang, Pengfei Shi: RERANKING OF PERSON RE-IDENTIFICATION BY MANIFOLD-BASED APPROACH, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2015
[6] Shaoyong Jia, Shijie Geng, Yun Gu, Jie Yang, Pengfei Shi, Yu Qiao: NSLIC: SLIC SUPERPIXELS BASED ON NONSTATIONARITY MEASURE, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2015
[7] Wei Liu, Penglin Li, Jie Yang, Pengfei Shi: UPSAMPLING THE DEPTH MAP WITH ITS OWN PROPERTIES, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2015
[8] Haoyang Xue, Yun Gu, Yijun Li, Jie Yang: RGB-D SALIENCY DETECTION VIA MUTUAL GUIDED MANIFOLD RANKING, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2015
[9] Tao Zhang, Long Xu, Jie Yang and Pengfei Shi, Wenjing Jia: SPARSE CODING-BASED SPATIOTEMPORAL SALIENCY FOR ACTION RECOGNITION, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2015
[10] Tao Zhou, Harish Bhaskar, Kai Xie, Jie Yang, Xiangjian He, Pengfei Shi: ONLINE LEARNING OF MULTI-FEATURE WEIGHTS FOR ROBUST OBJECT TRACKING, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2015
[11] Jinming DUAN, Yuchun DING, Jie YANG, Zhenkuan PAN, Li BAI: SECOND ORDER MUMFORD-SHAH MODEL FOR IMAGE DENOISING, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2015
[12] Qiuxing Chen, Yun Gu, Lixiu Yao, Jie Yang, Nikola Kasabov,Li Bai: Pedestrian Counting with Random Forests, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 0-0, 2015
[13] Yu Zhao, Yu Qiao,Jie Yang,Nikola Kasabov: Abnormal Activity Detection Using Spatio-Temporal Feature and Laplacian Sparse Representation, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 0-0, 2015
[14] Wei Xu, Yijun Li, Chen Gong, Jie Yang: Multi-view Implicit Transfer for Person Re-identification, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), ?, pp. 0-0, 2015
[15] Kai Xie, Keren Fu, Tao Zhou, Jie Yang, Qiang Wu, Xiangjian He: SMALL TARGET DETECTION USING AN OPTIMIZATION-BASED FILTER, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), ?, pp. 0-0, 2015
[16] Fanghui Liu ,Tao Zhou, Irene Y.H. Gu , Jie Yang: Visual Tracking via Nonnegative Regularization Multiple Locality Coding, in proceedings of International Conference on Computer Vision (ICCV), ?, pp. 0-0, 2015
2014年期刊论文
[1] Zhonglong Zheng, Mudi Yu, Jiong Jia, Huawen Liu, Daohong Xiang, Xiaoqiao Huang, Jie Yang: Fisher Discrimination based Low Rank Matrix Recovery for Face Recognition, Pattern Recognition, 47(11): 3502-3511, 2014
[2] Enmei Tu, Longbing Cao, Jie Yang, Nicola Kasabov: A Novel Graph-based k-Means for Nonlinear Manifold Clustering and Representative Selection, Neurocomputing, 143: 109-122, 2014
[3] Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang: Semi-supervised classification with pairwise constraints, Neurocomputing, 139: 130-137, 2014
[4] Chen Gong, Keren Fu, Lei Zhou, Jie Yang, Xiangjian He: Scalable Semi-Supervised Classification via Neumann Series, Neural Processing Letter, 42(1): 187-197, 2014
[5] Kai Xie, Keren Fu, Tao Zhou, Junhao Zhang, Jie Yang, Qiang Wu: Small target detection based on accumulated center-surround difference measure, Infrared Physics & Technology, 67: 229-236, 2014
[6] Lei Zhou, Yu Qiao, Yijun Li, Xiangjian He and Jie Yang: Interactive Segmentation Based on Iterative Learning for Multiple-Feature Fusion., Neurocomputing volume, 135: 240-252, 2014
[7] Lei Zhou, Keren Fu, Yijun Li, Yu Qiao, Xiangjian He and Jie Yang: Bayesian Salient Object Detection Based on Saliency Driven Clustering, Image Communication, 29(3): 424-447, 2014
2014年会议论文
[1] Ying Wan Xiongbiao Luo, Xiangjian He, Jie Yang et al.: Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Electromagnetic Tracking, in proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), ?, pp. 0-0, 2014
[2] Tao Zhou, Xiangjian He, Kai Xie, Keren Fu, Junhao Zhang, Jie Yang: Visual tracking via graph-based efficient manifold ranking with low-dimensional compressive features, in proceedings of ICME, ?, pp. 0-0, 2014
[3] Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang: Spectral Salient Object Detection, in proceedings of ICME, ?, pp. 0-0, 2014
[4] Zhou Lei, Yijun Li, Yipeng Song, Yu Qiao and Jie Yang: Saliency Driven Clustering for Salient Object Detection, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), ?, pp. 0-0, 2014
[5] Yijun Li, Keren Fu, Zhou Lei, Yu Qiao and Jie Yang: Saliency Detection based on Extended Boundary Prior with Foci of attention, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), ?, pp. 0-0, 2014
[6] Long Xu, Chen Gong, Jie Yang, Qiang Wu and Lixiu Yao: Violent Video Detection Based on MoSIFT Feature and Sparse Coding, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), ?, pp. 0-0, 2014
[7] Keren Fu, Kai Xie, Chen Gong, Irene Y. H. Gu and Jie Yang: Effective Small Dim Target Detection by Local Connectedness Constraint, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), ?, pp. 0-0, 2014
[8] Tao Zhou, Junhao Zhang, Kai Xie, Jie Yang, Xiangjian He: Visual tracking based on weighted subspace reconstruction error, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2014
[9] Yijun Li, Keren Fu, Lei Zhou, Yu Qiao, Jie Yang: Saliency Detection via Foreground Rendering and Background Exclusion, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2014
[10] Zhongjie Yu, Chen Gong, Jie Yang, Li Bai: Pedestrian Counting Based on Spatial and Temporal Analysis, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 0-0, 2014
[11] Enmei Tu, Nikola Kasabov, Muhaini Othman, Yuxiao Li, Susan Worner, Jie Yang: NeuCube(ST) for Spatio-Temporal Data Predictive Modeling with a Case Study on Ecological Data, in proceedings of WCCI, ?, pp. 0-0, 2014
2013年期刊论文
[1] Yu-Wing Tai, Xiaogang Chen, Sunyeong Kim, Seon Joo Kim, Feng Li, Jie Yang: Nonlinear Camera Response Functions and Image Deblurring: Theoretical Analysis and Practice, IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(10): 2498-2512, 2013
[2] Chen Gong, Keren Fu, Enmei Tu, Jie Yang and Xiangjian He: Robust Object Tracking Using Linear Neighborhood Propagation, Journal of Electronic Imaging, Journal of Electronic Imaging, 22(1): 0-0, 2013
[3] Keren Fu, Chen Gong, Jie Yang, Yue Zhou and Irene Yu-Hua Gu: Superpixel based color contrast and color distribution driven salient object detection, Signal Processing: Image Communication , 28(10): 1448-1463, 2013
[4] Miaohui Zhang, Ming Xin and Jie Yang: Adaptive multi-cue based particle swarm optimization guided particle filter tracking in infrared videos, Neurocomputing, 122: 163-171, 2013
[5] Enmei Tu, Jie Yang, Jiangxiong Fang, Zhenghong Jia and Nikola Kasabov: An experimental comparison of semi-supervised learning algorithms for multispectral image classification, Photogrammetric Engineering and Remote Sensing, 79(4): 347-357, 2013
[6] Ruo Du, Qiang Wu, Xiangjian He and Jie Yang: MIL-SKDE: Multiple-Instance Learning with Supervised Kernel Density Estimation, Signal Processing, 93(6): 1471-1484, 2013
[7] Yonghui Gao, Shengzheng Wang and Jie Yang: Non-local enhancement of electronic portal imaging with tensor texture descriptors, Electronics Letters, 49(14): 868-, 2013
[8] Xiaojie Dong, Erqi Liu, Jie Yang and Qiang Wu: MEGH: A new affine invariant descriptor, KSII Transactions on Internet and Information Systems, KSII Transactions on Internet and Information Systems, 7(7): 1690-1704, 2013
[9] Deying Feng, Jie Yang and Cheng Yang: Image Retrieval with Scale Invariant Visual Phrases, IEICE Transaction on Information and Systems, 96(5): 1063-1067, 2013
2013年会议论文
[1] Xiaogang Chen, Sing Bing Kang, Jie Yang, Jingyi Yu: Fast Patch-based Denoising Using Approximated Patch Geodesic Paths, in proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), ?, pp. 0-0, 2013
2012年期刊论文
[1] Jia-jia Zhao, Zheng-yuan Tang and Jie Yang: Clutter suppression based on adaptive subspace reconstruction, Journal of Infrared and Millimeter Waves, 31(1): 47-51, 2012
[2] Miaohui Zhang, Ming Xin and Jie Yang: Adaptive multi-feature tracking in particle swarm optimization based particle filter framework, Journal of System Engineering and Electronics, 23(5): 775-783, 2012
[3] Xiaogang Chen, Jie Yang, Qiang Wu, Jiajia Zhao and Xiangjian He: Directional high-pass filter for blurry image analysis, Signal Processing: Image Communication , 27(7): 760-771, 2012
[4] Jia Liu and Jie Yang: Action recognition using spatiotemporal features and hybrid generative/discriminative models, Journal of Electronic Imaging, 21(2): 0-0, 2012
[5] Jia Liu, Xiaonian Wang, Tianyu Li and Jie Yang: Spatio-temporal Semantic Features for Human Action Recognition, KSII Transactions on Internet and Information Systems, 6(10): 2632-2649, 2012
2012年会议论文
[1] Ruo Du, Qiang Wu, Xiangjian He and Jie Yang: Object Categorization Based on a Supervised Mean Shift Algorithm, in proceedings of European Conference on Computer Vision (ECCV), ?, pp. 611-614, 2012
[2] Xiaogang Chen, Feng Li, Jie Yang, and Jingyi Yu: A theoretical analysis of camera response functions in image deblurring, in proceedings of European Conference on Computer Vision (ECCV), ?, pp. 333-346, 2012
[3] Lei Zhou, Yu Qiao, Jie Yang and Xiangjian He: Learning Geodesic CRF model for Image Segmentation, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 1565-1568, 2012
[4] Chen Gong, Yang Liu, Tainyu Li, Jie Yang and Xiangjian He: The Extended Co-learning Framework for Robust Object Tracking, in proceedings of IEEE International Conference on Multimedia & Expo (ICME), ?, pp. 398-403, 2012
[5] Lin Zhu, Longbing Cao and Jie Yang: Multiobjective evolutionary algorithm-based soft subspace clustering, in proceedings of IEEE Congress on Evolutionary Computation (CEC), ?, pp. 0-0, 2012
[6] Deying Feng and Jie Yang: Object retrieval using adaptive rectangular windows, in proceedings of Multimedia Signal Processing (MMSP), ?, pp. 325-330, 2012
[7] Keren Fu, Jie Yang, Yue Zhou : Salient Object Detection via Color Contrast and Color Distribution, in proceedings of Asian Conference on Computer Vision (ACCV), ?, pp. 0-0, 2012
[8] Yue Zhou, Jie Yang: Object Tracking Within the Framework of Concept Drift, in proceedings of Asian Conference on Computer Vision (ACCV), ?, pp. 0-0, 2012
2011年期刊论文
[1] Jingqin Lv, Jnigxiong Fang and Jie Yang: Online two-stage association method for robust multiple people tracking, Optical Engineering, 50(7): 0-0, 2011
[2] Jiajia Zhao, Zhengyuan Tang and Jie Yang: Infrared small target detection using sparse representation, Journal of System Engineering and Electronics, 22(6): 897-904, 2011
[3] Congxin Liu, Jie Yang and Hai Huang: P-SURF: A robust local image descriptor, Journal of Information Science and Engineering, 27(6): 2001-2015, 2011
[4] Jiang-xiong Fang, En-mei Tu and Jie Yang: Narrow Band Multi-Region Level Set Method for Remote Sensing Image, Spectroscopy and Spectral Analysis, 31(11): 3001-3005, 2011
[5] Jiangxiong Fang, Jie Yang and Enmei Tu: Multilayer level set method for multiregion image segmentation, Optical Engineering, 50(6): 0-0, 2011
[6] Jianxiong Fang, Jie Yang and Enmei Tu: Efficient multiresolution level set image segmentation with multiple regions, Optical Engineering, 50(6): 0-0, 2011
[7] Lv Guo, Yin Li, Jie Yang and Li Lu: Hole-filling by rank sparsity tensor decomposition for medical imaging, IEICE Transaction on Information and Systems, 94(2): 396-399, 2011
[8] Yonghui Gao, Jie Yang, et al: Efficient cellular automaton segmentation supervised by pyramid on medical volumetric data and real time implementation with graphics processing unit, Expert Systems with Applications, 38(6): 6866-6871, 2011
[9] Miaohui Zhang, Jingqin Lv and Jie Yang: Human detection using relational color similarity features, Optical Engineering, 50(9): 097201, 2011
[10] Jiangxiong Fang, Jie Yang and Huaxiang Liu: Efficient and robust fragments-based multiple kernels track, AEU-International Journal of Electronics and Communications, 65(11): 915-923, 2011
[11] Jiangxiong Fang and Jie Yang: Statistical approaches to automatic level set image segmentation with multiple regions, Optical Engineering, 50(10): 0-0, 2011
[12] Zhonglong Zheng and Jie Yang: Exemplar Based Laplacian Discriminant Projection, Expert Systems with Applications, 38(1): 1061-1065, 2011
2011年会议论文
[1] Qingqing Chang, Qiang Wang, Yu Qiao, Yuyuan Zhu, Gang Huang and Jie Yang: Adaptive detection of hotspots in thoracic spine from bone scintigraphy, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 257-264, 2011
[2] Qiang Wang, Qingqing Chang, Yu Qiao, Yuyuan Zhu, Gang Huang and Jie Yang: Knowledge-based Segmentation of Spine Segmentation of Spine and Ribs from Bone Scintigraphy, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 241-248, 2011
[3] Yu Qiao and Jie Yang: Adaptive Region Growing Based on Boundary Measures, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 249-256, 2011
[4] Sheng Wang, Wenjing Jia, Qiang Wu, Xiangjian He and Jie Yang: Learning Global and Local Features for License Plate Detection, in proceedings of International Conference on Neural Information Processing (ICONIP), ?, pp. 547-556, 2011
[5] Arthur Loza, Fanglin Wang, Jie Yang and Lyudmila Mihaylova: Video object tracking with differential structural similarity index, in proceedings of IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP), ?, pp. 1405-1408, 2011
[6] Lin Zhu, Longbing Cao and Jie Yang: Soft subspace clustering with competitive agglomeration, in proceedings of IEEE International Conference on Fuzzy Systems, ?, pp. 691-698, 2011
[7] Deying Feng, Jie Yang and Cheng Yang: Efficient Indexing for Mobile Image Retrieval, International Conference on Data Mining, in proceedings of International Conference on Data Mining (ICDM), ?, pp. 0-0, 2011
[8] Xiaogang Chen, Xiangjian He, Jie Yang and Qiang Wu: An effective document image deblurring algorithm, in proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), ?, pp. 369-376, 2011
[9] Damith J. Mudugamuwa, Wenjing Jia, Xiangjian He and Jie Yang: An Overcomplete Pyramid Representation for Improved GSM Image Denoising, in proceedings of IEEE International Conference on Multimedia & Expo (ICME), ?, pp. 0-0, 2011
2010年期刊论文
[1] Tianhao Zhang, Kaiqi Huang, Xuelong Li, Jie Yang, Dacheng Tao: Discriminative Orthogonal Neighborhood Preserving Projections for Classification, IEEE Transactions on Systems, Man and Cybernetics, Part B, 40(1): 253-263, 2010
[2] Tong Wang and Jie Yang: Predicting Subcellular Localization of Gram-Negative Bacterial Proteins by Linear Dimensionality Reduction Method, Protein and Peptide Letters, 17(1): 32-37, 2010
[3] Shengzheng Wang, Jie Yang, and James C. Gee: Advances in collision detection and non-linear finite mixed element modelling for improved soft tissue simulation in cranio-maxillofacial surgical planning, The International Journal of Medical Robotics and Computer Assisted Surgery, John Wiley & Sons, 28-41, 2010
[4] Kun Liu and Jie Yang: Online recognition of people recurrences with bag-of-features representation and automatic new-class labeling, Optical Engineering, 49(1): 017203, 2010
[5] Yi Zhang, Jie Yang and Kun Liu: Unusual event detection and prediction based on sectional contextual edit distance, Journal of Electronic Imaging, 19(1): 013009, 2010
[6] Lin Zhu, Jie Yang, Jiang-Ning Song, Kuo-Chen Chou, Hong-Bin Shen: Improving the Accuracy of Predicting Disulfide Connectivity by Feature Selection, Journal of Computational Chemistry, John Wiley & Sons, 31(7): 1478-1485, 2010
[7] Fanglin Wang, Shengyang Yu, Jie Yang: Robust and efficient fragments-based tracking using mean shift, AEU-International Journal of Electronics and Communications, 64(7): 614-623, 2010
[8] Jiangxiong Fang, Jie Yang, Huaxiang Liu, Jingqing Lv and Yue Zhou: Robust fragments-based tracking with adaptive feature selection, Optical Engineering, 49(8): 087201, 2010
[9] Tong Wang and Jie Yang: A heuristic method for learning Bayesian networks using discrete particle swarm optimization, Knowledge And Information Systems, 24(2): 269-281, 2010
[10] Zhonglong Zheng, Xueping Chang and Jie Yang: Laplacian Min Max Discriminant Projection and its Applications, Journal of Research and Practice in Information Technology, 42(1): 3-14, 2010
[11] C.X. Liu, Jie Yang, D.Y. Feng: PPD: A Robust Low-computation Local Descriptor for Mobile Image Retrieval, KSII Transactions on Internet and Information Systems, 4(3): 305-323, 2010
[12] Zhonglong Zheng and Jie Yang: Subcellular Localization of Gram-Negative Bacterial Proteins Using Sparse Learning, The Protein Journal, Springer, 29(3): 195-203, 2010
[13] Shengzheng Wang and Jie Yang: Simulating cranio-maxillofacial surgery based on mixed-element biomechanical modelling, Computer Methods in Biomechanics and Biomedical Engineering, 13(3): 419-429, 2010
[14] Lv Guo, Yin Li, Jie Yang, and Li Lu: Exploration into Single Image Super-Resolution via Self Similarity by Sparse Representation, IEICE Transactions on Information and Systems, 93(11): 3144-3148, 2010
2010年会议论文
[1] Ying Li, Junhui Yan, Yue Zhou and Jie Yang: Optimum subspace learning and error correction for tensors, in proceedings of European Conference on Computer Vision (ECCV), ?, pp. 790-803, 2010
[2] Chao Zeng, Wenjing Jia, Xiangjian He and Jie Yang: Graph-based text segmentation using a selected channel image, in proceedings of International Conference on Digital Image Computing: Techniques and Applications (DICTA), ?, pp. 535-539, 2010
[3] Xiaogang Chen and Jie Yang: Motion blue detection based on lowest directional high-frequency energy, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 2321-2124, 2010
[4] Yin Li, Yue Zhou, Junchi Yan, Jie Yang and Xiangjian He: Tensor Error Correction for Corrupted Values in Visual Data, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 2321-2124, 2010
[5] Jia Liu, Jie Yang, Yi Zhang and Xiangjian He: Action Recognition by Multiple Features and Hyper-sphere Multi-class SVM, in proceedings of International Conference on Pattern Recognition (ICPR), Istanbul, pp. 3744-3747, 2010
2009年期刊论文
[1] Tianhao Zhang, Dacheng Tao, Xuelong Li and Jie Yang: Patch Alignment for Dimension Reduction, IEEE Transactions on Knowledge and Data Engineering, 21(9): 1299-1313, 2009
[2] Xiang Zhang and Jie Yang: The analysis of the color similarity problem in moving object detection, Signal Processing, 89(4): 685-691, 2009
[3] Xiang Zhang and Jie Yang: Moving object detection based on shape prediction, Journal of the Optical Society of America A: Optics and Image Science, and Vision, 26(2): 342-349, 2009
[4] Feng Shi, Jie Yang, Yue-Min Zhu: Automatic segmentation of bladder in CT image, Journal of Zhejiang University: Science A, 10(2): 239-246, 2009
[5] Feng Shi, Jie Yang: Live-wire-based image segmentation with embedded edge confidence, Optical Engineering, 48: 0-0, 2009
[6] Yunfeng Xue, Yujia Wang, and Jie Yang: Independent component analysis based on gradient equation and kernel density estimation, Neurocomputing, 72: 1597-1604, 2009
[7] Hongxin Qin, Jie Yang: A Feature‐Preserving Filtering Algorithm for Point Sets and Surface Attributes Based on Robust Statistics, Journal of Information Science and Engineering, 25(4): 1135-1146, 2009
[8] Du Chunhu, Jie Yang, Qiang Wu, Tianhao Zhang: Face recognition using message passing based clustering method, Journal of Visual Communication and Image Representation, 20(8): 608-613, 2009
[9] L. Zhu, Jie Yang, Hongbin Shen: Multi Label Learning for Prediction of Human Protein Subcellular Localizations, Protein Journal, 28: 384-390, 2009
[10] Xiang Zhang, Jie Yang, Zhi Liu: Performance evaluation of foreground modeling in moving foreground segmentation, Optical Engineering, 48(3): 0-0, 2009
[11] Yunfeng Xue, Feng Ju, Yujia Wang, Jie Yang: A source adaptive independent component analysis algorithm through solving the estimating equation, Expert Systems with Applications, 36(10): 1230612313, 2009
2009年会议论文
[1] Damith J. Mudugamuwa, Xiangjian He, Chung-Hyun Ahn and Jie Yang: High order prediction for sub-pixel motion estimation, in proceedings of IEEE International Conference on Image Processing (ICIP), ?, pp. 1585-1588, 2009
2008年期刊论文
[1] Jie Yang, Xufeng Ling, Yitan Zhu and Zhonglong Zheng: A face detection and recognition system in color image series, Mathematics and Computers in Simulation, 77: 531-539, 2008
[2] Mohammed Al-Rawi and Jie Yang: Using Gabor filter for the illumination invariant recognition of color texture, Mathematics and Computers in Simulation, 77: 550-555, 2008
[3] Hongxin Qin, Jie Yang and YM. Zhu: A novel meshless anisotropic diffusion model for point set processing, Optical Engineering, 47(4): 047005, 2008
[4] Xiaochao Yang, Yue Zhou, Tianhao Zhang, Guang Shu and Jie Yang: Gait recognition based on dynamic region analysis, Signal Processing, 88(9): 2350-2356, 2008
[5] Qinghua Huang, Jie Yang and Yue Zhou: Bayesian nonstationary source separation, Neurocomputing, 71: 1714-1729, 2008
[6] Hongxin Qin, and Jie Yang: Nonuniform Bilateral filtering for Point Sets and Surface Attributes, The Visual Computer, 24(12): 1067-1074, 2008
[7] Tianhao Zhang, Xuelong Li, Dacheng Tao, Jie Yang: Multimodal biometrics using geometry preserving projections, Pattern Recognition, 41: 805-813, 2008
[8] Tianhao Zhang, Xuelong Li, Dacheng Tao, Jie Yang: Local Coordinates Alignment (LCA): A Novel Method for Manifold Learning, International Journal of Pattern Recognition and Artificial Intelligence, 22(4): 667-690, 2008
[9] Yuan Cao, Ruiming Liu, and Jie Yang: Small target detection using two-dimensional least mean square (TDLMS) filter based on neighborhood analysis, Journal of Infrared and Millimeter Waves, 29: 188-200, 2008
[10] Yuan Cao, Ruiming Liu, and Jie Yang: Infrared small target detection using PPCA, International Journal of Infrared and Millimeter Waves, Journal of Infrared and Millimeter Waves, 29(4): 385-395, 2008
[11] SQ Wang, X. Chen, NJ Chen, Jie Yang: Mobile-Agent-Based Distributed Decision Tree Classification in Wireless Sensor Networks, Journal of Information Science and Engineering, 24(6): 1787-1798, 2008
2008年会议论文
[1] Qiang Wu, Chunhua Du, Jie Yang, Xiangjian He and Yan Chen: Pedestrian Detection Using Hybrid Statistical Feature, in proceedings of Multimedia Signal Processing (MMSP), ?, pp. 101-106, 2008
[2] Yan Chen, Qiang Wu, Xiangjian He, Chunhua Du and Jie Yang: Extracting Key Postures in a Human Action Video Sequence, in proceedings of Multimedia Signal Processing (MMSP), ?, pp. 569-573, 2008
[3] Yan Chen, Qiang Wu, Xiangjian He, Chunhua Du and Jie Yang: Extracting Key Postures Using Radon Transform, in proceedings of Image and Vision Computing New Zealand (IVCNZ), ?, pp. 0-0, 2008
[4] Chunhua Du, Qiang Wu, Jie Yang, Xiangjian He and Yan Chen: Subspace Analysis Methods plus Motion History Image for Human Action Recognition, in proceedings of International Conference on Digital Image Computing: Techniques and Applications (DICTA), ?, pp. 606-611, 2008

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