2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006
(* indicates the paper's corresponding author)

 

2017

      • “Active Self-Paced Learning for Cost-Effective and Progressive Face Identification”, Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, and Lei Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2017.2652459, 2017
      • “Human Parsing with Contextualized Convolutional Neural Network”, Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin*, Shuicheng Yan,IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 39(1): 115-127, 2017. 
      • “WELD: Weighted Low-rank Decomposition for Robust Grayscale-Thermal Foreground Detection”,Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu, Liang Lin*,IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 27(4): 725-738, 2017. 
      • “Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning”,Dongyu Zhang, Liang Lin*, Tianshui Chen, Xian Wu, Wenwei Tan, and Ebroul Izquierdo,IEEE Transactions on Image Processing (T-IP), 26(1): 328-339, 2017.
      • “Knowledge-Guided Recurrent Neural Network Learning for Task-oriented Action Prediction”,Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, and Hui Cheng,Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2017. (The world’s first 10K Best Paper Diamond Award, More info: http://www.ieee-icme.org/sc/award.php)
      • “Attention-Aware Face Hallucination via Deep Reinforcement Learning”, Qingxing Cao, Liang Lin*, Yukai Shi, Xiaodan Liang, and Guanbin Li,roc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. 
      • “Recurrent 3D Pose Sequence Machines”,Mude Lin, Liang Lin*, Xiaodan Liang, Keze Wang, and Hui Cheng, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
      • “Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing”, Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, and Liang Lin,Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
      • “Interpretable Structure-Evolving LSTM”, Xiaodan Liang, Liang Lin*, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, and Eric Xing, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. 
      • “Instance-Level Salient Object Segmentation”, Guanbin Li, Yuan Xie, Liang Lin, and Yizhou Yu, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. 
      • “Joint Detection and Identification Feature Learning for Person Search”, Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, and Xiaogang Wang, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
      • “Learning Object Interactions and Descriptions for Semantic Image Segmentation”,Guangrun Wang, Ping Luo, Liang Lin*, and Xiaogang Wang,Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. 
      • “Learning Patch-based Dynamic Graph for Visual Tracking”, Chenglong Li, Liang Lin*, Wangmeng Zuo, and Jin Tang, roc. of AAAI Conference on Artificial Intelligence (AAAI), 2017. (Oral Presentation
      • “Automatic colorization with improved spatial coherence and boundary localization”,Wei Zhang, Chaowei Fang, Guanbin Li*,Journal of Computer Science and Technology(JCST), 2017. 
      • ” Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning”,Yukai Shi, Keze Wang, Chongyu Chen*, Li Xu and Liang Lin, IEEE Transactions on Mulitmedia (TMM), 2017.
      • ” Using 3D Face Priors for Depth Recovery”, Chongyu Chen, Hai Xuan Pham, Vladimir Pavlovic, Jianfei Cai, Guangming Shi, Yuefang Gao, Hui Cheng, Journal of Visual Communication and Image Representation (JVCI), 2017.
      • “Reconstructing dynamic objects via LiDAR odometry oriented to depth fusion”,H. Cheng, Y. Hu, H. Huang, C. Chen, and C. Chen*, The 10th International Conference on Intelligent  Robotics and Applications (ICIRA 2017), Wuhan, China, 2017 (To be presented).
      • “Image-to-Video Person Re-Identification with Temporally Memorized Similarity Learning”, Dongyu Zhang, Wenxi Wu, Hui Cheng*, Ruimao Zhang, Zhenjiang Dong, Zhaoquan Cai, IEEE Transactions on Circuits and Systems for Video Technology, accepted to appear, 2017.
      • “Cluster synchronization for coupled systems with nonidentical linear dynamics”, Z.C. Liu, W. S. Wong, and H. Cheng, International Journal of Robust and Nonlinear Control, accepted, doi: 10.1002/rnc.3811, 2017.
      • “Decentralized navigation of multiple robots based on ORCA and Model Predictive Control”, Hui Cheng, Qiyuan Zhu, Zhongchang Liu, and Zeyu Jiang,  Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), accepted to appear, Sep. 24-28, 2017, Vancouver, BC, Canada.
      • “An Autonomous Vision-Based Target Tracking System for Rotorcraft Unmanned Aerial Vehicles”, Hui Cheng, Lishan Lin, Zhuoqi Zheng, Yuwei Guan, and Zhongchang Liu,  Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), accepted to appear, Sep. 24-28, 2017, Vancouver, BC, Canada.

 

2016

      • “Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning”,Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, and Lei Zhang,  IEEE Transctions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2016.2567386, 2016.
      • “Human Parsing with Contextualized Convolutional Neural Network”,Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin*, Shuicheng Yan,  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2016.2537339, 2016.
      • “WELD: Weighted Low-rank Decomposition for Robust Grayscale-Thermal Foreground Detection”, Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu, Liang Lin*,  IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), DOI: 10.1109/TCSVT.2016.2556586, 2016.
      • “A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition”,  Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, and Lei Zhang, International Journal of Computer Vision (IJCV), 118(2): 256-273, 2016.
      • “Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection”, Ping Luo, Liang Lin*, and Xiaobai Liu, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 27(7): 1417-1428, 2016.
      • “Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences”, Liang Lin, Wei Yang, Chenglong Li, Jin Tang, and Xiaochun Cao, IEEE Transactions on Cybernetics (T-Cybernetics), DOI: 10.1109/TCYB.2015.2489719, 2016.
      •  “DISC: Deep Image Saliency Computing via Progressive Representation Learning”,Tianshui Chen, Liang Lin*, Lingbo Liu, Xiaonan Luo, and Xuelong Li, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), DOI: 27(6): 1135-1149, 2016.
      •  “Clothes Co-Parsing via Joint Image Segmentation and Labeling with Application to Clothing Retrieval”, Xiaodan Liang, Liang Lin*, Wei Yang, Ping Luo, Junshi Huang, and Shuicheng Yan,IEEE Transactions on Multimedia (T-MM), 18(6): 1175-1186, 2016.
      • “Detection-free Multi-object Tracking by Reconfigurable Inference with Bundle Representations”,Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, and Wangmeng Zuo, IEEE Transactions on Cybernetics (T-Cybernetics), DOI: 10.1109/TCYB.2015.2478515, 2016.
      • “An Approach to Streaming Video Segmentation with Sub-optimal Low-rank Decomposition”,Chenglong Li, Liang Lin*, Wangmeng Zuo, Wenzhong Wang, and Jin Tang,  IEEE Transactions on Image Processing (T-IP), 25(5): 21947-1960, 2016.
      • “Recognizing Focal Liver Lesions in CEUS with Dynamically Trained Latent Structured Models”, Xiaodan Liang, Liang Lin*, Qingxing Cao, Rui Huang, and Yongtian Wang, IEEE Transactions on Medical Imaging (T-MI), 35(3): 713-727, 2016.
      • “Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy”, Zhanglin Peng, Ya Li, Zhaoquan Cai, and Liang Lin*, Neurocomputing, 178: 36-45, 2016.
      • “Geometric Scene Parsing with Hierarchical LSTM”, Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, and Liang Lin*, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2016.
      • “Deep Structured Scene Parsing by Learning with Image Descriptions”, Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, and Wangmeng Zuo, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Oral Presentation)
      • “Semantic Object Parsing with Local-Global Long Short-Term Memory”, Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, and Shuicheng Yan, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
      • “Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection”, Keze Wang, Liang Lin*, Wangmeng Zuo, Shuhang Gu, and Lei Zhang, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
      • “Joint Learning of Single-image and Cross-image Representations for Person Re-identification”, Faqiang Wang, Wangmeng Zuo, Liang Lin, David Zhang, and Lei Zhang,Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
      • “Reversible Recursive Instance-level Object Segmentation”, Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin*, and Shuicheng Yan, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
      • “DARI: Distance metric And Representation Integration for Person Verification”, Guangrun Wang, Liang Lin*, Shengyong Ding, Ya Li, and Qing Wang, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2016.
      • “Character Proposal Network for Robust Text Extraction”, Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin, Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.
      • “ColorSketch: A Drawing Assistant for Generating Color Sketches from Photos”, Guanbin Li, Sai Bi, Jue Wang, Yingqing Xu, and Yizhou Yu, IEEE Computer Graphics and Applications (CG&A), DOI: 10.1109/MCG.2016.37, 2016.
      • “Deep Contrast Learning for Salient Object Detection”, Guanbin Li and Yizhou Yu, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

2015

      • “DISC: Deep Image Saliency Computing via Progressive Representation Learning”, Tianshui Chen, Liang Lin*, Lingbo Liu, Xiaonan Luo, and Xuelong Li, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), DOI: 10.1109/TNNLS.2015.2506664, 2015.
      • “Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences”, Liang Lin, Wei Yang, Chenglong Li, Jin Tang, and Xiaochun Cao, IEEE Transactions on Cybernetics (T-Cybernetics), DOI: 10.1109/TCYB.2015.2489719, 2015.
      • “Recognizing Focal Liver Lesions in CEUS with Dynamically Trained Latent Structured Models”,Xiaodan Liang, Liang Lin*, Qingxing Cao, Rui Huang, and Yongtian Wang, IEEE Transactions on Medical Imaging (T-MI), DOI: 10.1109/TMI.2015.2492618, 2015.
      • “Detection-free Multi-object Tracking by Reconfigurable Inference with Bundle Representations”, Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, and Wangmeng Zuo, IEEE Transactions on Cybernetics (T-Cybernetics), DOI: 10.1109/TCYB.2015.2478515, 2015.
      • “Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification”,Ruimao Zhang, Liang Lin*, Rui Zhang, Wangmeng Zuo, and Lei Zhang, IEEE Transactions on Image Processing (T-IP), 24(12): 4766-4779, 2015.
      • “Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy”,Zhanglin Peng, Ya Li, Zhaoquan Cai, and Liang Lin*, Neurocomputing, 2015.
      • “Human Parsing with Contextualized Convolutional Neural Network”, Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang, Liang Lin*, and Shuicheng Yan, Proc. of IEEE International Conference on Computer Vision (ICCV), 2015. (Oral Presentation)
      • “Towards Computational Baby Learning: A Weakly-supervised Approach for Object Detection”, Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, and Shuicheng Yan, Proc. of IEEE International Conference on Computer Vision (ICCV), 2015.
      • “Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection”, Ping Luo, Liang Lin*, and Xiaobai Liu, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), accepted, 2015.
      • “Transferred Human Parsing with Video Context”, Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lu, Liang Lin, Xiaochun Cao, and Shuicheng Yan, IEEE Transactions on Multimedia (T-MM), accepted, 2015.
      • “PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence”, Keze Wang, Liang Lin*, Jiangbo Lu, Chenglong Li, and Keyang Shi, IEEE Transactions on Image Processing (T-IP), in press, 2015.
      • “Deep Human Parsing with Active Template Regression”,Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Liang Lin, and Shuicheng Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), in press, 2015.
      • “Deep Feature Learning with Relative Distance Comparison for Person Re-identification”,Shengyong Ding, Liang Lin*, Guangrun Wang, and Hongyang Chao, Pattern Recognition, in press, 2015.
      • “Kernel Sparse Representation for Time Series Classification”,Zhihua Chen, Wangmeng Zuo, Qinghua Hu, and Liang Lin, Information Sciences, 292(20): 15-26, 2015.
      • “Discriminatively Trained And-Or Graph Models for Object Shape Detection”,Liang Lin, Xiaolong Wang, Wei Yang, and JianHuang Lai, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 37(5): 959-972, 2015.
      • “Hierarchical Ensemble of Background Models for PTZ-based Video Surveillance”,Ning Liu, Hefeng Wu, and Liang Lin, IEEE Transactions on Cybernectics (T-Cybernetics), 45(1): 89-102, 2015.
      • “SOLD: Sub-Optimal Low-Rank Decomposition for Efficient Video Segmentation”,Chenglong Li, Liang Lin*, Wangmeng Zuo, Shuicheng Yan, and Jin Tang, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
      • “Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution”, Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, and Lei Zhang, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
      • “Matching-CNN Meets KNN: Quasi-Parametric Human Parsing”, Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, and Shuicheng Yan, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
      • “End-to-End Photo-Sketch Generation via Full Convolutional Representation Learning”, Liliang Zhang, Liang Lin*, Xian Wu, Shengyong Ding, and Lei Zhang, Proc. of ACM International Conference on Multimedia Retrieval (ACM ICMR), 2015.
      • “Data-Driven Scene Understanding with Adaptively Retrieved Exemplars”, Xionghao Liu, Wei Yang, Liang Lin, Qing Wang, Zhaoquan Cai, and Jian-Huang Lai, IEEE Multimedia, 2015.
      • “A Deep Joint Learning Approach for Age Invariant Face Verification”, Ya Li, Guangrun Wang, Liang Lin*, Huiyou Chang, CCCV (1) 2015: 296-305.
      • “Visual Saliency Based on Multiscale Deep Features”, Guanbin Li and Yizhou Yu, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
      • “Class Relatedness Oriented-Discriminative Dictionary Learning for Multiclass Image Classification”, Dongyu Zhang*, Pengju Liu, Kai Zhang, Hongzhi Zhang, Qing Wang, Xiaoyuan Jing. Pattern Recognition. (Published Online, DOI: 10.1016/j.patcog.2015.12.005 )
      • “Multiple human tracking based on distributed collaborative cameras”, Zhaoquan Cai, Shiyi Hu, Yukai Shi, Qing Wang, Dongyu Zhang.. Multimedia Tools and Applications. (Published Online, DOI: 10.1007/s11042-015-3163-7).
      • “Weighted Nuclear Norm Minimization Based Tongue Specular Reflection Removal”, Zhenchao Cui, Dongyu Zhang, Kuanquan Wang, Hongzhi Zhang, Naimin Li, and Wangmeng Zuo.. Mathematical Problems in Engineering, Volume 2015, Article ID 979415, 15 pages

2014

      • “Deep Joint Task Learning for Generic Object Extraction”, Xiaolong Wang, Liliang Zhang, Liang Lin*, Zhujin Liang, and Wangmeng Zuo, Proc. of Advances in Neural Information Processing Systems (NIPS), 2014.
      • “3D Activity Recognition with Reconfigurable Convolutional Neural Networks”, Keze Wang, Xiaolong Wang, Liang Lin*, Meng Wang, and Wangmeng Zuo, Proc. of ACM International Conference on Multimedia (ACM MM), (long paper, oral presentation), 2014.
      • “Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models”, Liang Lin, Yuanlu Xu, Xiaodan Liang, and Jian-Huang Lai, IEEE Transactions on Image Processing (T-IP), 23(7): 3191-3202, 2014.
      • “Fashion Parsing with Video Context”, Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lv, Liang Lin, and Shuicheng Yan, Proc. of ACM International Conference on Multimedia (ACM MM), (long paper, oral presentation), 2014.
      • “Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness”, Yuanlu Xu, Bingpeng Ma, Rui Huang, and Liang Lin, Proc. of ACM International Conference on Multimedia (ACM MM), 2014.
      • “Robust Feature Point Matching with Sparse Model”,Bo Jiang, Jin Tang, Bin Luo, and Liang Lin, IEEE Transactions on Image Processing (T-IP), 23(12): 5175-5186, 2014.
      • “Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling”, Liang Lin, Ruimao Zhang, Xiaohua Duan, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), in press, 2014.
      • “An Expressive Deep Model for Parsing Human Action from a Single Image”, Zhujin Liang, Xiaolong Wang, Rui Huang, and Liang Lin*, Proc. of IEEE International Conference on Multimedia and Expo (ICME), (Oral Presentation), 2014. Best Student Paper Award
      • “Deep Boosting: Layered Feature Mining for General Image Classification”, Zhanglin Peng, Liang Lin*, Ruimao Zhang, and Jing Xu, Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2014.
      • “Clothing Co-Parsing by Joint Image Segmentation and Labeling”, Wei Yang, Ping Luo, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [Project]
      • “Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model”, Xiaodan Liang, Qingxing Cao, Rui Huang, and Liang Lin, IEEE International Symposium on Biomedical Imaging (ISBI), 2014.
      • “Towards a solid solution of real-time fire and flame detection”, Bo Jiang, Yongyi Lu, Xiying Li, and Liang Lin, Multimedia Tools and Applications Journal (MMTA), DOI: 10.1007/s11042-014-2106-z, 2014.
      • “Salient object detection based on regions”, Zhuojia Liang, Mingjia Wang, Xiaocong Zhou, Liang Lin, Multimedia Tools and Applications Journal (MMTA), 68(3): 517-544, 2014.
      • “Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models”, Liang Lin, Yuanlu Xu, Xiaodan Liang, and Jian-Huang Lai, IEEE Transactions on Image Processing (T-IP), 23(7): 3191-3202, 2014.
      • “Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel”, Danbing Jia, Dongyu Zhang*, and Naimin Li. Computational and Mathematical Methods in Medicine Volume 2014 (2014), Article ID 947254, 10 pages.

2013

      • “Contextualized Trajectory Parsing with Spatio-Temporal Graph”, Xiaobai Liu, Liang Lin*, and Hai Jin, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), in press, 2013.
      • “Video Stylization: Painterly Rendering and Optimization with Content Extraction”, Liang Lin, Kun Zeng, Yizhou Wang, Ying-Qing Xu, and Song-Chun Zhu, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 23(4): 577-590, 2013. [PDF] [Webpage]
      • “Sparse Learning-to-Rank via an Efficient Primal-Dual Algorithm”, Hanjiang Lai, Yan Pan, Cong Liu, Liang Lin, and Jie Wu, IEEE Transactions on Computers (TC), 62(6): 1221-1233, 2013.
      • “Discovering Video Shot Categories by Unsupervised Stochastic Graph Partition”, Xiaohua Duan, Liang Lin*, and Hongyang Chao, IEEE Transactions on Multimedia (TMM), 15(1): 167-180, 2013.
      • “Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection”, Xiaolong Wang, Liang Lin*, Lichao Huang, and Shuicheng Yan, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
      • “PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors”, Keyang Shi, Keze Wang, Jiangbo Lu, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
      • “Robust Region Grouping via Internal Patch Statistics”, Xiaobai Liu, Liang Lin, and Alan L. Yuille, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
      • “Learning Latent Spatio-Temporal Compositional Model for Human Action Recognition”, Xiaodan Liang, Liang Lin*, and Liangliang Cao, Proc. ACM International Conference on Multimedia (MM), (long paper), 2013.
      • “Integrating multi-stage depth-induced contextual information for human action recognition and localization”, Bingbing Ni, Yong Pei, Zhujin Liang, Liang Lin, and Pierre Moulin, Proc. of IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2013.
      • “Human Re-identification by Matching Compositional Template with Cluster Sampling”, Yuanlu Xu, Liang Lin*, Wei-Shi Zheng, and Xiaobai Liu, Proc. of IEEE International Conference on Computer Vision (ICCV), 2013.
      • “SYM-FISH: A Symmetry-aware Flip Invariant Sketch Histogram Shape Descriptor”, Xiaochun Cao, Hua Zhang, Si Liu, Xiaojie Guo, and Liang Lin, Proc. of IEEE International Conference on Computer Vision (ICCV), 2013.
      • “Correntropy Induced L2 Graph for Robust Subspace Clustering”, Canyi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, and Zhouchen Lin, Proc. of IEEE International Conference on Computer Vision (ICCV), 2013.

2012

      • “Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance”, Liang Lin, Yongyi Lu, Yan Pan, and Xiaowu Chen, IEEE Transactions on Image Processing (TIP), 21(12): 4844-4857, 2012.[PDF]
      • “Object Categorization with Sketch Representation and Generalized Samples”, Liang Lin, Xiaobai Liu, Shaowu Peng, Hongyang Chao, Yongtian Wang, and Bo Jiang, Pattern Recognition, 45(10): 3648-3660, 2012. [PDF]
      • “Integrating Spatio-temporal Context with Multiview Representation for Object Recognition in Visual Surveillance”, Xiaobai Liu, Liang Lin*, Hai Jin, Shuicheng Yan, and Wenbin Tao, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 21(4): 393-407, 2011. [PDF]
      • “Representing and Recognizing Objects with Massive Local Image Patches”, Liang Lin, Ping Luo, Xiaowu Chen, and Kun Zeng, Pattern Recognition, 45(1): 231-240, 2012. [PDF]
      • “Dynamical And-Or Graph Learning for Object Shape Modeling and Detection”, Xiaolong Wang, and Liang Lin*, Proc. of Advances in Neural Information Processing Systems (NIPS), 2012.
      • “Robust Stroke-based Video Animation via Layered Motion and Correspondence”, Tao Lin, Liang Lin*, and Qing Wang, Proc. of ACM Conference Multimedia (MM), 2012. [PDF]
      • “Joint Semantic Segmentation by Searching for Compatible-Competitive References”, Ping Luo, Xiaogang Wang, Liang Lin, and Xiaoou Tang, Proc. of ACM Conference Multimedia (MM), 2012.[PDF]
      • “Object-Layout-Aware Image Retrieval for Personal Album Management”, Mengyou Li, Zheng Song, Qiang Chen, Liang Lin, Zhongyang Huang, and Shuicheng Yan, Proc. of European Conference on Computer Vision (ECCV), 2012. (in Demo Session) [PDF]
      • “Learning Contour-Fragment-based Shape Model with And-Or Tree Representation”, Liang Lin, Xiaolong Wang, Wei Yang, and Jian-Huang Lai, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.[PDF]
      • “Cross-based Local Multipoint Filtering”, Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin, and Minh Do, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.[PDF]

2011

      • “Adaptive Object Tracking by Learning Hybrid Template On-line”, Xiaobai Liu, Liang Lin*, Shuicheng Yan, Hai Jin, and Wenbing Jiang, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 21(11): 1588-1599, 2011. [PDF]
      • “High Resolution Face Fusion for Gender Conversion”, Jinli Suo, Liang Lin, Shiguang Shan, Xilin Chen, and Wen Gao, IEEE Transactions on Systems, Man, and Cybernetics (TSMC), Part A, 41(2): 226-237, 2011. [PDF]
      • “Segment an Image by Looking into an Image Corpus”, Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, and Hai Jin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. [PDF]
      • “Interactive CT image segmentation with online discriminative learning”, Wei Yang, Xiaolong Wang, Liang Lin*, and Chengying Gao, Proc. of IEEE Conference on Pattern Recognition (ICPR), 2011.
      • “Color style transfer by constraint locally linear embedding”, Kun Zeng, Ruimao Zhang, Xiaodan Lan, Yan Pan, and Liang Lin*, Proc. of IEEE Conference on Image Processing (ICIP), 2011.

2010

      • “Layered Graph Matching with Composite Cluster Sampling”, Liang Lin, Xiaobai Liu, and Song-Chun Zhu, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 32(8): 1426-1442, 2010. [PDF]
      • “I2T: Image Parsing to Text Description”, B. Yao, X. Yang, Liang Lin, M.W. Lee, and S.C. Zhu, Proceedings of the IEEE, 98(8): 1485-1508, 2010. [PDF]
      • “Skeletonization with Particle Filters”, Yunchun Tang, Xiang Bai, Xingwei Yang, Liang Lin, Shuwei Liu, and Longin Jan Latecki, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 24(4): 619-634, 2010. [PDF]
      • “Learning Shape Detector by Quantizing Curve Segments with Multiple Distance Metrics”, Ping Luo, Liang Lin*, and Hongyang Chao, Proc. of European Conference on Computer Vision (ECCV), 2010. [PDF]
      • “Painterly Animation Using Video Semantics and Feature Correspondence”, Liang Lin, Kun Zeng, Han Lv, Yizhou Wang, YingQing Xu, and Song-Chun Zhu, Proc. of International Symposium on Non-Photorealistic Animation and Rendering (NPAR), 2010. (Oral Presentation). [PDF] Runner-up Best Paper Award
      • “Tracking Objects with Adaptive Feature Patches for PTZ Camera Visual Surveillance”, Yi Xie, Liang Lin*, and Yunde Jia, Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2010. [PDF]
      • “Semantics-driven portrait cartoon stylization”, Ming Yang, Shu Lin, Ping Luo, Liang Lin, and Hongyang Chao, Proc. of IEEE Conference on Image Processing (ICIP), 2010. (Oral Presentation)
      • “A Discriminative Model for Object Representation and Detection via Sparse Features”, Xi Song, Ping Luo, Liang Lin, and Yunde Jia, Proc. of IEEE Conference on Image Processing (ICIP), 2010.
      • “Classification of Pulse Waveforms Using Edit Distance with Real Penalty”, Dongyu Zhang, Wangmeng Zuo, David Zhang, Hongzhi Zhang, Naimin Li, , EURASIP Journal on Advances in Signal Processing, pp. 1-8, 2010.
      • “Gaussian ERP Kernel Classifier for Pulse Waveforms Classification”, Dongyu Zhang, Wangmeng Zuo, David Zhang, Yanlai Li, Naimin Li, , Proceedings of International Conference on Pattern Recognition (ICPR), pp. 2736-2739, 2010.
      • “Time Series Classification Using Support Vector Machine with Gaussian Elastic Metric Kernel”,Dongyu Zhang, Wangmeng Zuo, David Zhang, Hongzhi Zhang, Proceedings of International Conference on Pattern Recognition (ICPR), pp. 29-32, 2010.
      • “Pulse Waveform Classification Using ERP-Based Difference-Weighted KNN Classifier”, Dongyu Zhang, Wangmeng Zuo, Yanlai Li, Naimin Li, Proceedings of International Conference on Medical Biometrics, pp. 191-200, 2010.
      • “Distinguishing Patients with Gastritis and Cholecystitis from the Healthy by Analyzing Wrist Radial Arterial Doppler Blood Flow Signals”, Xiaorui Jiang, Dongyu Zhang, Kuanquan Wang, Wangmeng Zuo. Proceedings of International Conference on Pattern Recognition (ICPR), pp. 2492-2495, 2010.
      • “Classification of Wrist Pulse Blood Flow Signal Using Time Warp Edit Distance”, Lei Liu, Wangmeng Zuo, Dongyu Zhang, Naimin Li, Hongzhi Zhang, Proceedings of 2010 International Conference on Medical Biometrics, pp. 137-144, 2010.

2009

      • “A Stochastic Graph Grammar for Compositional Object Representation and Recognition”, Liang Lin, Tianfu Wu, Jake Porway, and Zijian Xu, Pattern Recognition, 42(7): 1297-1307, 2009. [PDF]
      • “Semantic Event Representation and Recognition Using Syntactic Attribute Graph Grammar”, Liang Lin, Haifeng Gong, Li Li, and Liang Wang, Pattern Recognition Letters, 30(2): 180-186, 2009. [PDF]
      • “Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions”, Liang Lin, Kun Zeng, Xiaobai Liu, and Song-Chun Zhu, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. [PDF]
      • “Trajectory Parsing by Cluster Sampling in Spatio-temporal Graph”, Xiaobai Liu, Liang Lin, Hai Jin, and Song-Chun Zhu, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. [PDF]
      • “Interactive Rotoscoping: Extracting and Tracking Object Sketch”, Han Lv, Liang Lin, Kun Zeng, and Nong Sang, Proc. of IEEE International Conference on Image Processing (ICIP), 2009. [PDF]
      • “Hierarchical 3D Perception from A Single Image”, Ping Luo, Jiajie He, Liang Lin, and Hongyang Chao, Proc. of IEEE International Conference on Image Processing (ICIP), 2009. [PDF]
      • “Accurate Image Labeling by Fast Semantic Geodesic Propagation”, Xiaowu Chen, Dongyue Zhao, Yibiao Zhao, and Liang Lin, Proc. of IEEE International Conference on Image Processing (ICIP), 2009. [PDF]
      • “Marker-less Registration Based on Template Tracking for Augmented Reality”,Liang Lin, Yongtian Wang, Yue Liu, Caiming Xiong and Kun Zeng, Multimedia Tools and Applications Journal (MMTA), 41(2): 235-252, 2009. [PDF]
      • “Wrist pulse signal diagnosis using modified Gaussian models and Fuzzy C-Means classification”, Yinghui Chen, Lei Zhang, David Zhang, Dongyu Zhang,, Medical Engineering and Physics, 31(10), pp. 1283-1289, 2009.
      • “Computerized Wrist Pulse Signal Diagnosis Using Modified Auto-Regressive Models”, Yinghui Chen, Lei Zhang, David Zhang, Dongyu Zhang,. Journal of Medical Systems, pp. 1-8, 2009.
      • “Hilbert-Huang transform based Doppler blood flow signals analysis,”, Dongyu Zhang, Kuanquan Wang, Xiangqian Wu, Bo Huang, Naimin Li Proceedings of the 2nd International Conference on Biomedical Engineering and Informatics, pp, 1-5, 2009.

2008

      • “3D Structure Inference by Integrating Segmentation and Reconstruction from A Single Image”, Liang Lin, Kun Zeng, Yongtian Wang, and Wenze Hu, IET Computer Vision, 2(1): 15-22, 2008. [PDF]
      • “Layered Shape Matching and Registration: Stochastic Sampling with Hierarchical Graph Representation”, Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin, and Wenbin Tao, Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2008. (Oral Presentation). [PDF]
      • “Object-of-Interest Extraction by Integrating Stochastic Inference with Learnt Active Shape Sketch”, Hongwei Li, Liang Lin, Tianfu Wu, Xiaobai Liu, and Lanfang Dong, Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2008. [PDF]
      • “An Empirical Study of Facial Components Classification by Integrating Dimensionality Reduction and Clustering”, Feng Min, Liang Lin, and Nong Sang, Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2008. [PDF]
      • “Spatio-temporal Patches for Night Background Modeling by Subspace Learning”, Youdong Zhao, Haifeng Gong, Liang Lin, and Yunde Jia, Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2008. [PDF]
      • “Wavelet based analysis of Doppler ultrasonic wrist-pulse signals”, Dongyu Zhang, Lei Zhang, David Zhang, Yongping Zheng, Proceedings of the 1st International Conference on Biomedical Engineering and Informatics, vol. 2, pp. 539-543, 2008.
      • “Analysis of doppler ultrasound blood flow signals of wrist radial artery for discriminating healthy people from 3 kinds of patients”, Kuanquan Wang, Chao Xu, Dongyu Zhang, Naimin Li, Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, pp. 87-89, 2008.
      • “A wavelet packet based pulse waveform analysis for cholecystitis and nephrotic syndrome diagnosis,” Qingli Guo, Kuanquan Wang, Dongyu Zhang, and Naimin Li, Proceedings of 2008 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), Hong Kong, 30-31 Aug., 2008.
      • “Quantified Vector Oriented Tongue Color Classification”, Bo Huang, Kuanquan Wang, Xiangqian Wu, Dongyu Zhang, Naimin Li. Proceedings of the 1st International Conference on Biomedical Engineering and Informatics, pp. 1-4, 2008.

2007

      • “An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples”, Liang Lin, Shaowu Peng, Jake Porway, Song-Chun Zhu, and Yongtian Wang, Proc. of IEEE International Conference on Computer Vision (ICCV), vol. 1: 419-426, 2007. [PDF]
      • “Layered Graph Match with Graph Editing”, Liang Lin, Song-Chun Zhu, and Yongtian Wang, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1: 885-892, 2007. [PDF]
      • “Object Category Recognition Using Generative Template Boosting”, Shaowu Peng, Liang Lin, Jake Porway, and Song-Chun Zhu, Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), LNCS 4679, Springer, Page: 198-212, 2007. (Oral Presentation). [PDF]

2006

    • “Registration Algorithm Based on Image Matching for Outdoor AR System with Fixed Viewing Position”, Liang Lin, Yue Liu, Yongtian Wang, and Wei Zheng, IEE Proceedings on Vision, Image & Signal Processing, 153(1): 57-62, 2006. [PDF]
    • “Key Issues for AR-based Digital Reconstruction of Yuanmingyuan Garden”, Yue Liu, Yongtian Wang, Yu Li, Jinchao Lei, and Liang Lin, Presence: Teleoperators and Virtual Environments, 15(3): 336-340, 2006. [PDF]