Professor Dong Xu

B.Eng. PhD University of Science and Technology of China
Chair in Computer Engineering

J03 - Electrical Engineering Building
The University of Sydney

Telephone +61 2 9351 2981

Website School of Electrical and Information Engineering

Biographical details

Dong Xu is Chair in Computer Engineering at the School of Electrical and Information Engineering, The University of Sydney, Australia. He received the B.Eng. and PhD degrees from University of Science and Technology of China, in 2001 and 2005, respectively. While pursuing the PhD degree, he worked at Microsoft Research Asia and The Chinese University of Hong Kong for more than two years. He also worked as a postdoctoral research scientist at Columbia University from 2006 to 2007 and a faculty member at Nanyang Technological University from 2007 to 2015.

His current research interests include computer vision, multimedia, machine learning and biomedical image analysis. His group has developed new machine learning methods for various vision and big data analytics related applications including Internet vision and social media (i.e., large scale image/video retrieval, visual recognition using massive Web data), biometrics (i.e., face recognition and tagging, human gait recognition and person re-identification), video analysis and medical image analysis. He has published more than 100 papers in IEEE Transactions and top tier conferences including CVPR, ICCV, ECCV, ICML, ACM MM and MICCAI. His co-authored work (with his former PhD student Lixin Duan) received the Best Student Paper Award in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) in 2010. His coauthored work (with his former PhD student Lin Chen) won the IEEE Transactions on Multimedia Prize Paper Award in 2014. When working at Nanyang Technological University, he received several research projects from Singapore National Research Foundation, A*STAR, Singapore Ministry of Education, Microsoft Research Asia and Rolls-Royce Plc.

He is on the editorial boards of IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), IEEE Transactions on Neural Networks and Learning Systems (T-NNLS) and IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT). He also served as a guest editor of the special issue on "Visual Saliency Computing and Learning" in IEEE T-NNLS, the special issue on "Domain Adaptation for Vision Applications" in International Journal of Computer Vision (IJCV), the special issue on "Computer Vision for RGB-D Sensors: Kinect and Its Applications" in IEEE Transactions on Cybernetics (T-CYB), the special issue on "Social Media" in ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), the special issue on "Event Analysis in Videos" in IEEE T-CSVT, the special issue on "Video Analysis" in Computer Vision and Image Understanding (CVIU) and the special issue on "Visual Content Identification and Search" in IEEE Multimedia. Moreover, he served as a program co-chair of IEEE International Conference on Multimedia & Expo (ICME) in 2014, a program co-chair of Pacific-Rim Conference on Multimedia (PCM) in 2012, and an area chair of CVPR 2012.

徐东博士于2001年和2005年在中国科学技术大学取得学士和博士学位, 目前担任悉尼大学电子与信息工程学院教授。徐东教授曾在微软亚洲研究院、香港中文大学和美国哥伦比亚大学从事研究工作,并在新加坡南洋理工大学任教。徐东教授在计算机视觉、多媒体信号处理、机器学习以及医学图像处理等领域做出了重要贡献, 在IEEE Transactions上发表了60余篇期刊论文和多篇国际会议论文, 其中两篇论文于2014年和2010年分别获得IEEE T-MM最佳论文奖和IEEE CVPR 最佳学生论文奖。徐东教授目前担任IEEE T-PAMI, T-NNLS和T-CSVT等学术期刊编委, 以及ICME和VALSE (视觉与学习青年学者研讨会)指导委员会成员, 曾担任IEEE T-NNLS, T-CYB, T-CSVT, IEEE Multimedia, IJCV和 ACM TOMM 等国际期刊的客座主編,以及ICME 2014程序委员会协同主席, ECCV2016和CVPR 2012区域主席。

Research interests

In the age of 'big media', millions of images and videos are captured, shared and broadcast every day by news, surveillance, digital and mobile phone cameras. While we as humans can make sense of the rich information they contain, Professor Dong Xu's research aims to ensure that computers, too, will be able to recognise the people, objects, activities and events depicted. This has important implications for national security, among other areas.

"We start learning how to recognise faces, objects, activities and events as we're growing up. However, computers are not so smart. Trying to develop an intelligent system for computers to understand images and videos is not a trivial task, due to the semantic gaps between the low-level visual information extracted from images and videos and the high-level semantic concepts we use to understand them.

"I am developing machine learning methods and intelligent systems that can process and understand unstructured visual data (images and videos that don't contain any semantic metadata) and automatically tag them with useful and searchable information - such as the people's names in the case of images of faces, and concepts such as picnic, birthday party or wedding in the case of videos capturing events.

"This technology will have a broad range of applications, from national security and video surveillance to human-computer interaction, robotics, autonomous cars and biomedical image analysis. It will also be useful for visually impaired people, allowing them to virtually "see" the world.

"In particular, a number of tragic terrorist attacks in recent decades has increased demand for efficient human identification from images and videos taken in environments such as airports and banks. This could provide critical early warnings of terrorist, criminal and other human-based threats, allowing rapid responses to prevent or mitigate these events."

Associations

  • Fellow of IAPR (The International Association for Pattern Recognition)

Awards and honours

  • Outstanding Early Career Award, IEEE Computational Intelligence Society, 2017
  • Prize Paper Award (with former PhD student Lin Chen), IEEE Transactions on Multimedia, 2014/07
  • Best Student Paper Award (with former PhD student Lixin Duan), IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2010/06
  • Presidential Scholarship of Chinese Academy of Sciences, 2005
  • Microsoft Research Asia Fellowship, 2004

In the media


    International collaboration


      Selected grants

      2017

      • Designing project-based cross-unit laboratory through cloud computing technologies towards collaborative, authentic and flexible learning; Yuan D, Xu D, Calvo R, Bao W, Zhou B; DVC Education/Large Educational Innovation Grant.

      2013

      • Feature Extraction and Image Classification Techniques; Xu D; Rolls Royce Singapore/Research Support.
      • Automatic Video Tagging by Learning from Web Data; Xu D; Ministry of Education, Singapore/Academic Research Fund Tier 2.

      2012

      • Bessel Beam Imaging of the Irido-Corneal Angle with Overlay of Fluorescence Emission Distribution; Xu D; Agency For Science, Technology And Research (ASTAR)/Project Grant.

      Selected publications

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      Journals

      • Niu, L., Xu, X., Chen, L., Duan, L., Xu, D. (2017). Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources [In Press]. IEEE Transactions on Neural Networks and Learning Systems, 28(6), 1290-1304. [More Information]
      • Niu, L., Li, W., Xu, D., Cai, J. (2017). An Exemplar-based Multi-view Domain Generalization Framework for Visual Recognition [In Press]. IEEE Transactions on Neural Networks and Learning Systems, , 1-14. [More Information]
      • Fu, H., Xu, D., Lin, S. (2017). Object-based Multiple Foreground Segmentation in RGBD Video. IEEE Transactions on Image Processing, 26(3), 1418-1427. [More Information]
      • Niu, L., Li, W., Xu, D., Cai, J. (2017). Visual Recognition by Learning From Web Data via Weakly Supervised Domain Generalization [In Press]. IEEE Transactions on Neural Networks and Learning Systems, In Press, 1-15. [More Information]
      • Xu, X., Li, W., Xu, D., Tsang, I. (2016). Co-Labeling for Multi-view Weakly Labeled Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(6), 1113-1125. [More Information]
      • Liu, T., Tao, D., Xu, D. (2016). Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes. Neural Computation, 28(10), 2213-2249. [More Information]
      • Niu, L., Li, W., Xu, D. (2016). Exploiting Privileged Information from Web Data for Action and Event Recognition. International Journal of Computer Vision, 118(2), 130-150. [More Information]
      • Han, J., Shao, L., Vasconcelos, N., Han, J., Xu, D. (2016). Guest Editorial Special Section on Visual Saliency Computing and Learning. IEEE Transactions on Neural Networks and Learning Systems, 27(6), 1118-1121. [More Information]
      • Yan, Y., Nie, F., Li, W., Gao, C., Yang, Y., Xu, D. (2016). Image Classification by Cross-Media Active Learning with Privileged Information. IEEE Transactions on Multimedia, 18(12), 2494-2502. [More Information]
      • Xiao, S., Tan, M., Xu, D., Dong, Z. (2016). Robust Kernel Low-Rank Representation. IEEE Transactions on Neural Networks and Learning Systems, 27(11), 2268-2281. [More Information]
      • Xiao, S., Xu, D., Wu, J. (2015). Automatic Face Naming by Learning Discriminative Affinity Matrices from Weakly Labeled Images. IEEE Transactions on Neural Networks and Learning Systems, 26(10), 2440-2452. [More Information]
      • Fu, H., Xu, D., Lin, S., Wong, D., Liu, J. (2015). Automatic Optic Disc Detection in OCT Slices via Low-Rank Reconstruction. IEEE Transactions On Biomedical Engineering, 62(4), 1151-1158. [More Information]
      • Xu, X., Li, W., Xu, D. (2015). Distance Metric Learning using Privileged Information for Face Verification and Person Re-identification. IEEE Transactions on Neural Networks and Learning Systems, 26(12), 3150-3162. [More Information]
      • Yan, S., Xu, X., Xu, D., Lin, S., Li, X. (2015). Image Classification with Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 45(3), 381-390. [More Information]
      • Fu, H., Xu, D., Zhang, B., Lin, S., Ward, R. (2015). Object-based Multiple Foreground Video Co-segmentation via Multi-state Selection Graph. IEEE Transactions on Image Processing, 24(11), 3415-3424. [More Information]
      • Xu, Z., Li, W., Niu, L., Xu, D. (2014). Exploiting Low-rank Structure from Latent Domains for Domain Generalization. Lecture Notes in Computer Science (LNCS), 8691, 628-643. [More Information]
      • Li, W., Niu, L., Xu, D. (2014). Exploiting Privileged Information from Web Data for Image Categorization. Lecture Notes in Computer Science (LNCS), 8693 (5), 437-452. [More Information]
      • Cui, Z., Li, W., Xu, D., Shan, S., Chen, X., Li, X. (2014). Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance. IEEE Transactions on Cybernetics, 44(12), 2264-2273. [More Information]
      • Liu, B., Cong, G., Zeng, Y., Xu, D., Chee, Y. (2014). Influence Spreading Path and its Application to the Time Constrained Social Influence Maximization Problem and Beyond. IEEE Transactions On Knowledge And Data Engineering, 26(8), 1904-1917. [More Information]
      • Li, W., Duan, L., Xu, D., Tsang, I. (2014). Learning with Augmented Features for Supervised and Semi-supervised Heterogeneous Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(6), 1134-1148. [More Information]
      • Fu, H., Cao, X., Tang, D., Han, Y., Xu, D. (2014). Regularity Preserved Regular Superpixels and Supervoxels. IEEE Transactions on Multimedia, 16(4), 1165-1175. [More Information]
      • Meng, L., Tan, A., Xu, D. (2014). Semi-Supervised Heterogeneous Fusion for Multimedia Data Co-clustering. IEEE Transactions On Knowledge And Data Engineering, 26(9), 2293-2306. [More Information]
      • Kannan, M., Xu, D., Shan, S., Chen, X. (2014). Semisupervised Hashing via Kernel Hyperplane Learning for Scalable Image Search. IEEE Transactions on Circuits and Systems for Video Technology, 24(4), 704-713. [More Information]
      • Chen, L., Xu, D., Tsang, I., Li, X. (2014). Spectral Embedded Hashing for Scalable Image Retrieval. IEEE Transactions on Cybernetics, 44(7), 1180-1190. [More Information]
      • Xiao, S., Tan, M., Xu, D. (2014). Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos. Lecture Notes in Computer Science (LNCS), 8694 (PART 6), 123-138. [More Information]
      • Liu, B., Yuan, Q., Cong, G., Xu, D. (2014). Where your photo is taken: Geolocation prediction for social images. Journal of the Association for Information Science and Technology, 65(6), 1232-1243. [More Information]
      • Wu, X., Xu, D., Duan, L., Luo, J., Jia, Y. (2013). Action Recognition Using Multilevel Features and Latent Structural SVM. IEEE Transactions on Circuits and Systems for Video Technology, 23(8), 1422-1431. [More Information]
      • Kan, M., Shan, S., Su, Y., Xu, D., Chen, X. (2013). Adaptive discriminant learning for face recognition. Pattern Recognition, 46(9), 2497-2509. [More Information]
      • Liu, J., Zhang, Z., Wong, D., Xu, Y., Yin, F., Cheng, J., Tan, N., Kwoh, C., Xu, D., Tham, Y., et al (2013). Automatic Glaucoma Diagnosis through Medical Imaging Informatics. Journal of the American Medical Informatics Association, 20(6), 1021-1027. [More Information]
      • Han, J., Shao, L., Xu, D., Shotton, J. (2013). Enhanced Computer Vision With Microsoft Kinect Sensor: A Review. IEEE Transactions on Cybernetics, 43(5), 1318-1334. [More Information]
      • Xiong, Z., Xu, D., Sun, X., Wu, F. (2013). Example-Based Super-Resolution With Soft Information and Decision. IEEE Transactions on Multimedia, 15(6), 1458-1465. [More Information]
      • Wei, S., Xu, D., Li, X., Zhao, Y. (2013). Joint Optimization Toward Effective and Efficient Image Search. IEEE Transactions on Cybernetics, 43(6), 2216-2227. [More Information]
      • Kan, M., Xu, D., Shan, S., Li, W., Chen, X. (2013). Learning Prototype Hyperplanes for Face Verification in the Wild. IEEE Transactions on Image Processing, 22(8), 3310-3316. [More Information]
      • Xu, X., Tsang, I., Xu, D. (2013). Soft Margin Multiple Kernel Learning. IEEE Transactions on Neural Networks and Learning Systems, 24(5), 749-761. [More Information]
      • Yang, Y., Nie, F., Xu, D., Luo, J., Zhuang, Y., Pan, Y. (2012). A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(4), 723-742. [More Information]
      • Wang, H., Xu, D. (2012). Comprehensive Common Spatial Patterns With Temporal Structure Information of EEG Data: Minimizing Nontask Related EEG Component. IEEE Transactions On Biomedical Engineering, 59(9), 2496-2505. [More Information]
      • Xu, Y., Xu, D., Lin, S., Han, T., Cao, X., Li, X. (2012). Detection of Sudden Pedestrian Crossings for Driving Assistance Systems. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics, 42(3), 729-739. [More Information]
      • Duan, L., Xu, D., Tsang, I. (2012). Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach. IEEE Transactions on Neural Networks and Learning Systems, 23(3), 504-518. [More Information]
      • Duan, L., Tsang, I., Xu, D. (2012). Domain Transfer Multiple Kernel Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(3), 465-479. [More Information]
      • Feng, J., Ni, B., Xu, D., Yan, S. (2012). Histogram contextualization. IEEE Transactions on Image Processing, 21(2), 778-788. [More Information]
      • Xu, D., Huang, Y., Zeng, Z., Xu, X. (2012). Human gait recognition using patch distribution feature and locality-constrained group sparse representation. IEEE Transactions on Image Processing, 21(1), 316-326. [More Information]
      • Nie, F., Xu, D., Li, X. (2012). Initialization independent clustering with actively self-training method. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics, 42(1), 17-27. [More Information]
      • Chen, L., Tsang, I., Xu, D. (2012). Laplacian Embedded Regression for Scalable Manifold Regularization. IEEE Transactions on Neural Networks and Learning Systems, 23(6), 902-915. [More Information]
      • Huang, Y., Xu, D., Nie, F. (2012). Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition. IEEE Transactions on Circuits and Systems for Video Technology, 22(3), 479-488. [More Information]
      • Li, J., Xu, D., Gao, W. (2012). Removing Label Ambiguity in Learning-Based Visual Saliency Estimation. IEEE Transactions on Image Processing, 21(4), 1513-1525. [More Information]
      • Huang, Y., Xu, D., Nie, F. (2012). Semi-Supervised Dimension Reduction Using Trace Ratio Criterion. IEEE Transactions on Neural Networks and Learning Systems, 23(3), 519-526. [More Information]
      • Chen, L., Xu, D., Tsang, I., Jiebo, L. (2012). Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement. IEEE Transactions on Multimedia, 14(4), 1057-1067. [More Information]
      • Duan, L., Xu, D., Tsang, I., Luo, J. (2012). Visual Event Recognition in Videos by Learning from Web Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(9), 1667-1680. [More Information]
      • Duan, L., Wen, L., Tsang, I., Xu, D. (2011). Improving Web Image Search by Bag-Based Reranking. IEEE Transactions on Image Processing, 20(11), 3280-3290. [More Information]
      • Nie, F., Xu, D., Li, X., Xiang, S. (2011). Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics, 41(3), 675-685. [More Information]
      • Nie, F., Zeng, Z., Tsang, I., Xu, D., Zhang, C. (2011). Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering. IEEE Transactions on Neural Networks, 22(11), 1796-1808. [More Information]
      • Liu, Y., Xu, D., Tsang, I., Luo, J. (2011). Textual Query of Personal Photos Facilitated by Large-Scale Web Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(5), 1022-1036. [More Information]
      • Yang, Y., Wu, F., Xu, D., Zhuang, Y., Chia, L. (2010). Cross-media retrieval using query dependent search methods. Air Medical Journal, 43(8), 2927-2936. [More Information]
      • Huang, Y., Xu, D., Cham, T. (2010). Face and Human Gait Recognition Using Image-to-Class Distance. IEEE Transactions on Circuits and Systems for Video Technology, 20(3), 431-438. [More Information]
      • Nie, F., Xu, D., Tsang, I., Zhang, C. (2010). Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction. IEEE Transactions on Image Processing, 19(7), 1921-1932. [More Information]
      • Yang, Y., Xu, D., Nie, F., Yan, S., Zhuang, Y. (2010). Image Clustering Using Local Discriminant Models and Global Integration. IEEE Transactions on Image Processing, 19(10), 2761-2773. [More Information]
      • Xu, D., Cham, T., Yan, S., Duan, L., Chang, S. (2010). Near Duplicate Identification With Spatially Aligned Pyramid Matching. IEEE Transactions on Circuits and Systems for Video Technology, 20(8), 1068-1079. [More Information]
      • Yang, Y., Zhuang, Y., Tao, D., Xu, D., Jun, Y., Luo, J. (2010). Recognizing Cartoon Image Gestures for Retrieval and Interactive Cartoon Clip Synthesis. IEEE Transactions on Circuits and Systems for Video Technology, 20(12), 1745-1756. [More Information]
      • Huang, Y., Brown, M., Xu, D. (2010). User-assisted ink-bleed reduction. IEEE Transactions on Image Processing, 19(10), 2646-2658. [More Information]
      • Xu, D., Yan, S., Lin, S., Huang, T., Chang, S. (2009). Enhancing Bilinear Subspace Learning by Element Rearrangement. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(10), 1913-1920. [More Information]
      • Xu, D., Yan, S. (2009). Semi-supervised bilinear subspace learning. IEEE Transactions on Image Processing, 18(7), 1671-1676. [More Information]

      Conferences

      • Rama Varior, R., Shuai, B., Lu, J., Xu, D., Wang, G. (2016). A Siamese Long Short-Term Memory Architecture for Human Re-identification. The 14th European Conference on Computer Vision (ECCV 2016), Cham: Springer. [More Information]
      • Niu, L., Cai, J., Xu, D. (2016). Domain Adaptive Fisher Vector for Visual Recognition. The 14th European Conference on Computer Vision (ECCV 2016), Cham: Springer. [More Information]
      • Li, W., Dai, D., Tan, M., Xu, D., Van Gool, L. (2016). Fast algorithms for linear and kernel SVM+. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas: (IEEE) Institute of Electrical and Electronics Engineers.
      • Tan, M., Xiao, S., Gao, J., Xu, D., van den Hengel, A., Shi, Q. (2016). Proximal Riemannian Pursuit for Large-scale Trace-norm Minimization. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Zhang, Y., Meng, K., Xu, D., Lai, M., Zheng, Y. (2016). Recommending Electricity Plans: A Data-driven Method. 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • LIu, J., Shahroudy, A., Xu, D., Wang, G. (2016). Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition. The 14th European Conference on Computer Vision (ECCV 2016), Cham: Springer. [More Information]
      • Xiao, S., Li, W., Xu, D., Tao, D. (2015). FaLRR: A fast low rank representation solver. The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Niu, L., Li, W., Xu, D. (2015). Multi-view Domain Generalization for Visual Recognition. 15th IEEE International Conference on Computer Vision (ICCV 2015), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Fu, H., Xu, D., Lin, S., Liu, J. (2015). Object-based RGBD image co-segmentation with mutex constraint. The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Niu, L., Li, W., Xu, D. (2015). Visual Recognition by Learning from Web Data: A Weakly Supervised Domain Generalization Approach. The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Xu, Z., Li, W., Niu, L., Xu, D. (2014). Exploiting Low-Rank Structure from Latent Domains for Domain Generalization. 13th European Conference on Computer Vision, ECCV 2014, Switzerland: Springer. [More Information]
      • Li, W., Niu, L., Xu, D. (2014). Exploiting Privileged Information from Web Data for Image Categorization. 13th European Conference on Computer Vision, ECCV 2014, Switzerland: Springer. [More Information]
      • Fu, H., Xu, D., Zhang, B., Lin, S. (2014). Object-based Multiple Foreground Video Co-segmentation. 27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Los Alamitos, CA: IEEE Computer Society. [More Information]
      • Chen, L., Li, W., Xu, D. (2014). Recognizing RGB Images by Learning from RGB-D Data. 27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Los Alamitos, CA: IEEE Computer Society. [More Information]
      • Xiao, S., Tan, M., Xu, D. (2014). Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos. 13th European Conference on Computer Vision, ECCV 2014, Switzerland: Springer. [More Information]
      • Xu, Y., Gao, X., Lin, S., Wong, D., Liu, J., Xu, D., Cheng, C., Cheung, C., Wong, T. (2013). Automatic Grading of Nuclear Cataracts from Slit-lamp Lens Images Using Group Sparsity Regression. 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), Berlin: Springer. [More Information]
      • Xu, Y., Lin, S., Wong, D., Liu, J., Xu, D. (2013). Efficient reconstruction-based optic cup localization for glaucoma screening. 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), Heidelberg: Springer.
      • Chen, L., Duan, L., Xu, D. (2013). Event Recognition in Videos by Learning from Heterogeneous Web Sources. 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Cui, Z., Wen, L., Xu, D., Shan, S., Chen, X. (2013). Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild. 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Zeng, Z., Xiao, S., Kui, J., Chan, T., Gao, S., Xu, D., Ma, Y. (2013). Learning by Associating Ambiguously Labeled Images. 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Liu, H., Xu, D., Huang, Q., Li, W., Xu, M., Lin, S. (2013). Semantically-based Human Scanpath Estimation with HMMs. 2013 IEEE International Conference on Computer Vision (ICCV 2013), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Li, W., Duan, L., Tsang, I., Xu, D. (2012). Batch Mode Adaptive Multiple Instance Learning for Computer Vision Tasks. 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), Providence: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Yan, S., Xu, X., Xu, D., Lin, S., Li, X. (2012). Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification. 12th European Conference on Computer Vision, Berlin: Springer.
      • Li, W., Duan, L., Tsang, I., Xu, D. (2012). Co-Labeling: A New Multi-view Learning Approach for Ambiguous Problems. 12th IEEE International Conference on Data Mining (ICDM 2012), Los Alamitos: IEEE Computer Society. [More Information]
      • Xu, Y., Lin, S., Liu, J., Xu, D., Cheung, C., Aung, T., Wong, T. (2012). Efficient optic cup detection from intra-image learning with retinal structure priors. The 15th International Conference on Medical Image Computing and Computer Assisted Intervention MICCAI 2012, Heidelberg: Springer.
      • Duan, L., Xu, D., Chang, S. (2012). Exploiting Web Images for Event Recognition in Consumer Videos: A Multiple Source Domain Adaptation Approach. 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), Providence: (IEEE) Institute of Electrical and Electronics Engineers.
      • Zeng, Z., Chan, T., Jia, K., Xu, D. (2012). Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition. 12th European Conference on Computer Vision (ECCV), Berlin: Springer Berlin Heidelberg. [More Information]
      • Xu, X., Tsang, I., Xu, D. (2012). Handling Ambiguity via Input-Output Kernel Learning. The 12th IEEE International Conference on Data Mining, Belgium: IEEE. [More Information]
      • Duan, L., Xu, D., Tsang, I. (2012). Learning with Augmented Features for Heterogeneous Domain Adaptation. 29th International Conference on Machine Learning, ICML 2012, UK.
      • Liu, B., Cong, G., Xu, D., Zeng, Y. (2012). Time Constrained Influence Maximization in Social Networks. 12th IEEE International Conference on Data Mining (ICDM 2012), Los Alamitos: IEEE Computer Society. [More Information]
      • Wu, X., Xu, D., Duan, L., Luo, J. (2011). Action Recognition using Context and Appearance Distribution. International Conference on Computer Vision and Pattern Recognition (CVPR) 2011, Providence, RI: IEEE. [More Information]
      • Xu, Y., Xu, D., Lin, S., Liu, J., Cheng, J., Cheung, C., Aung, T., Wong, T. (2011). Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis. 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011), Berlin: Springer.
      • Li, W., Duan, L., Xu, D., Tsang, I. (2011). Text-based Image Retrieval using Progressive Multi-instance Learning. 2011 International Conference on Computer Vision, Barcelona: IEEE. [More Information]
      • Chen, L., Xu, D., Tsang, I., Luo, J. (2010). Tag-based Web Photo Retrieval Improved by Batch Mode Re-tagging. 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA: IEEE. [More Information]
      • Duan, L., Xu, D., Tsang, I., Luo, J. (2010). Visual Event Recognition in Videos by Learning from Web Data. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010, US: IEEE. [More Information]
      • Duan, L., Tsang, I., Xu, D., Chua, T. (2009). Domain Adaptation from Multiple Sources via Auxiliary Classifiers. 26th Annual International Conference on Machine Learning, New York, NY: ACM.
      • Duan, L., Tsang, I., Xu, D., Maybank, S. (2009). Domain Transfer SVM for video concept detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, FL: IEEE. [More Information]
      • Yang, Y., Xu, D., Nie, F., Luo, J., Zhuang, Y. (2009). Ranking with Local Regression and Global Alignment for Cross Media Retrieval. 17th ACM Multimedia Conference (ACM MM), New York: ACM. [More Information]
      • Yang, Y., Zhuang, Y., Xu, D., Pan, Y., Tao, D., Maybank, S. (2009). Retrieval based interactive cartoon synthesis via unsupervised bi-distance metric learning. 17th ACM Multimedia Conference (ACM MM), New York: ACM. [More Information]
      • Feiping, N., Xu, D., Tsang, I., Zhang, C. (2009). Spectral embedded clustering. Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09), Menlo Park, California: AAAI Press.
      • Liu, Y., Xu, D., Tsang, I., Luo, J. (2009). Using Large-Scale Web Data to Facilitate Textual Query Based Retrieval of Consumer Photos. 17th ACM Multimedia Conference (ACM MM), New York: ACM. [More Information]

      2017

      • Niu, L., Xu, X., Chen, L., Duan, L., Xu, D. (2017). Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources [In Press]. IEEE Transactions on Neural Networks and Learning Systems, 28(6), 1290-1304. [More Information]
      • Niu, L., Li, W., Xu, D., Cai, J. (2017). An Exemplar-based Multi-view Domain Generalization Framework for Visual Recognition [In Press]. IEEE Transactions on Neural Networks and Learning Systems, , 1-14. [More Information]
      • Fu, H., Xu, D., Lin, S. (2017). Object-based Multiple Foreground Segmentation in RGBD Video. IEEE Transactions on Image Processing, 26(3), 1418-1427. [More Information]
      • Niu, L., Li, W., Xu, D., Cai, J. (2017). Visual Recognition by Learning From Web Data via Weakly Supervised Domain Generalization [In Press]. IEEE Transactions on Neural Networks and Learning Systems, In Press, 1-15. [More Information]

      2016

      • Rama Varior, R., Shuai, B., Lu, J., Xu, D., Wang, G. (2016). A Siamese Long Short-Term Memory Architecture for Human Re-identification. The 14th European Conference on Computer Vision (ECCV 2016), Cham: Springer. [More Information]
      • Xu, X., Li, W., Xu, D., Tsang, I. (2016). Co-Labeling for Multi-view Weakly Labeled Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(6), 1113-1125. [More Information]
      • Liu, T., Tao, D., Xu, D. (2016). Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes. Neural Computation, 28(10), 2213-2249. [More Information]
      • Niu, L., Cai, J., Xu, D. (2016). Domain Adaptive Fisher Vector for Visual Recognition. The 14th European Conference on Computer Vision (ECCV 2016), Cham: Springer. [More Information]
      • Niu, L., Li, W., Xu, D. (2016). Exploiting Privileged Information from Web Data for Action and Event Recognition. International Journal of Computer Vision, 118(2), 130-150. [More Information]
      • Li, W., Dai, D., Tan, M., Xu, D., Van Gool, L. (2016). Fast algorithms for linear and kernel SVM+. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas: (IEEE) Institute of Electrical and Electronics Engineers.
      • Han, J., Shao, L., Vasconcelos, N., Han, J., Xu, D. (2016). Guest Editorial Special Section on Visual Saliency Computing and Learning. IEEE Transactions on Neural Networks and Learning Systems, 27(6), 1118-1121. [More Information]
      • Yan, Y., Nie, F., Li, W., Gao, C., Yang, Y., Xu, D. (2016). Image Classification by Cross-Media Active Learning with Privileged Information. IEEE Transactions on Multimedia, 18(12), 2494-2502. [More Information]
      • Tan, M., Xiao, S., Gao, J., Xu, D., van den Hengel, A., Shi, Q. (2016). Proximal Riemannian Pursuit for Large-scale Trace-norm Minimization. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Zhang, Y., Meng, K., Xu, D., Lai, M., Zheng, Y. (2016). Recommending Electricity Plans: A Data-driven Method. 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Xiao, S., Tan, M., Xu, D., Dong, Z. (2016). Robust Kernel Low-Rank Representation. IEEE Transactions on Neural Networks and Learning Systems, 27(11), 2268-2281. [More Information]
      • LIu, J., Shahroudy, A., Xu, D., Wang, G. (2016). Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition. The 14th European Conference on Computer Vision (ECCV 2016), Cham: Springer. [More Information]

      2015

      • Xiao, S., Xu, D., Wu, J. (2015). Automatic Face Naming by Learning Discriminative Affinity Matrices from Weakly Labeled Images. IEEE Transactions on Neural Networks and Learning Systems, 26(10), 2440-2452. [More Information]
      • Fu, H., Xu, D., Lin, S., Wong, D., Liu, J. (2015). Automatic Optic Disc Detection in OCT Slices via Low-Rank Reconstruction. IEEE Transactions On Biomedical Engineering, 62(4), 1151-1158. [More Information]
      • Xu, X., Li, W., Xu, D. (2015). Distance Metric Learning using Privileged Information for Face Verification and Person Re-identification. IEEE Transactions on Neural Networks and Learning Systems, 26(12), 3150-3162. [More Information]
      • Xiao, S., Li, W., Xu, D., Tao, D. (2015). FaLRR: A fast low rank representation solver. The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Yan, S., Xu, X., Xu, D., Lin, S., Li, X. (2015). Image Classification with Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 45(3), 381-390. [More Information]
      • Niu, L., Li, W., Xu, D. (2015). Multi-view Domain Generalization for Visual Recognition. 15th IEEE International Conference on Computer Vision (ICCV 2015), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Fu, H., Xu, D., Zhang, B., Lin, S., Ward, R. (2015). Object-based Multiple Foreground Video Co-segmentation via Multi-state Selection Graph. IEEE Transactions on Image Processing, 24(11), 3415-3424. [More Information]
      • Fu, H., Xu, D., Lin, S., Liu, J. (2015). Object-based RGBD image co-segmentation with mutex constraint. The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Niu, L., Li, W., Xu, D. (2015). Visual Recognition by Learning from Web Data: A Weakly Supervised Domain Generalization Approach. The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]

      2014

      • Xu, Z., Li, W., Niu, L., Xu, D. (2014). Exploiting Low-Rank Structure from Latent Domains for Domain Generalization. 13th European Conference on Computer Vision, ECCV 2014, Switzerland: Springer. [More Information]
      • Xu, Z., Li, W., Niu, L., Xu, D. (2014). Exploiting Low-rank Structure from Latent Domains for Domain Generalization. Lecture Notes in Computer Science (LNCS), 8691, 628-643. [More Information]
      • Li, W., Niu, L., Xu, D. (2014). Exploiting Privileged Information from Web Data for Image Categorization. Lecture Notes in Computer Science (LNCS), 8693 (5), 437-452. [More Information]
      • Li, W., Niu, L., Xu, D. (2014). Exploiting Privileged Information from Web Data for Image Categorization. 13th European Conference on Computer Vision, ECCV 2014, Switzerland: Springer. [More Information]
      • Cui, Z., Li, W., Xu, D., Shan, S., Chen, X., Li, X. (2014). Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance. IEEE Transactions on Cybernetics, 44(12), 2264-2273. [More Information]
      • Liu, B., Cong, G., Zeng, Y., Xu, D., Chee, Y. (2014). Influence Spreading Path and its Application to the Time Constrained Social Influence Maximization Problem and Beyond. IEEE Transactions On Knowledge And Data Engineering, 26(8), 1904-1917. [More Information]
      • Li, W., Duan, L., Xu, D., Tsang, I. (2014). Learning with Augmented Features for Supervised and Semi-supervised Heterogeneous Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(6), 1134-1148. [More Information]
      • Fu, H., Xu, D., Zhang, B., Lin, S. (2014). Object-based Multiple Foreground Video Co-segmentation. 27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Los Alamitos, CA: IEEE Computer Society. [More Information]
      • Chen, L., Li, W., Xu, D. (2014). Recognizing RGB Images by Learning from RGB-D Data. 27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Los Alamitos, CA: IEEE Computer Society. [More Information]
      • Fu, H., Cao, X., Tang, D., Han, Y., Xu, D. (2014). Regularity Preserved Regular Superpixels and Supervoxels. IEEE Transactions on Multimedia, 16(4), 1165-1175. [More Information]
      • Meng, L., Tan, A., Xu, D. (2014). Semi-Supervised Heterogeneous Fusion for Multimedia Data Co-clustering. IEEE Transactions On Knowledge And Data Engineering, 26(9), 2293-2306. [More Information]
      • Kannan, M., Xu, D., Shan, S., Chen, X. (2014). Semisupervised Hashing via Kernel Hyperplane Learning for Scalable Image Search. IEEE Transactions on Circuits and Systems for Video Technology, 24(4), 704-713. [More Information]
      • Chen, L., Xu, D., Tsang, I., Li, X. (2014). Spectral Embedded Hashing for Scalable Image Retrieval. IEEE Transactions on Cybernetics, 44(7), 1180-1190. [More Information]
      • Xiao, S., Tan, M., Xu, D. (2014). Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos. 13th European Conference on Computer Vision, ECCV 2014, Switzerland: Springer. [More Information]
      • Xiao, S., Tan, M., Xu, D. (2014). Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos. Lecture Notes in Computer Science (LNCS), 8694 (PART 6), 123-138. [More Information]
      • Liu, B., Yuan, Q., Cong, G., Xu, D. (2014). Where your photo is taken: Geolocation prediction for social images. Journal of the Association for Information Science and Technology, 65(6), 1232-1243. [More Information]

      2013

      • Wu, X., Xu, D., Duan, L., Luo, J., Jia, Y. (2013). Action Recognition Using Multilevel Features and Latent Structural SVM. IEEE Transactions on Circuits and Systems for Video Technology, 23(8), 1422-1431. [More Information]
      • Kan, M., Shan, S., Su, Y., Xu, D., Chen, X. (2013). Adaptive discriminant learning for face recognition. Pattern Recognition, 46(9), 2497-2509. [More Information]
      • Liu, J., Zhang, Z., Wong, D., Xu, Y., Yin, F., Cheng, J., Tan, N., Kwoh, C., Xu, D., Tham, Y., et al (2013). Automatic Glaucoma Diagnosis through Medical Imaging Informatics. Journal of the American Medical Informatics Association, 20(6), 1021-1027. [More Information]
      • Xu, Y., Gao, X., Lin, S., Wong, D., Liu, J., Xu, D., Cheng, C., Cheung, C., Wong, T. (2013). Automatic Grading of Nuclear Cataracts from Slit-lamp Lens Images Using Group Sparsity Regression. 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), Berlin: Springer. [More Information]
      • Xu, Y., Lin, S., Wong, D., Liu, J., Xu, D. (2013). Efficient reconstruction-based optic cup localization for glaucoma screening. 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), Heidelberg: Springer.
      • Han, J., Shao, L., Xu, D., Shotton, J. (2013). Enhanced Computer Vision With Microsoft Kinect Sensor: A Review. IEEE Transactions on Cybernetics, 43(5), 1318-1334. [More Information]
      • Chen, L., Duan, L., Xu, D. (2013). Event Recognition in Videos by Learning from Heterogeneous Web Sources. 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Xiong, Z., Xu, D., Sun, X., Wu, F. (2013). Example-Based Super-Resolution With Soft Information and Decision. IEEE Transactions on Multimedia, 15(6), 1458-1465. [More Information]
      • Cui, Z., Wen, L., Xu, D., Shan, S., Chen, X. (2013). Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild. 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Wei, S., Xu, D., Li, X., Zhao, Y. (2013). Joint Optimization Toward Effective and Efficient Image Search. IEEE Transactions on Cybernetics, 43(6), 2216-2227. [More Information]
      • Zeng, Z., Xiao, S., Kui, J., Chan, T., Gao, S., Xu, D., Ma, Y. (2013). Learning by Associating Ambiguously Labeled Images. 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Kan, M., Xu, D., Shan, S., Li, W., Chen, X. (2013). Learning Prototype Hyperplanes for Face Verification in the Wild. IEEE Transactions on Image Processing, 22(8), 3310-3316. [More Information]
      • Liu, H., Xu, D., Huang, Q., Li, W., Xu, M., Lin, S. (2013). Semantically-based Human Scanpath Estimation with HMMs. 2013 IEEE International Conference on Computer Vision (ICCV 2013), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Xu, X., Tsang, I., Xu, D. (2013). Soft Margin Multiple Kernel Learning. IEEE Transactions on Neural Networks and Learning Systems, 24(5), 749-761. [More Information]

      2012

      • Yang, Y., Nie, F., Xu, D., Luo, J., Zhuang, Y., Pan, Y. (2012). A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(4), 723-742. [More Information]
      • Li, W., Duan, L., Tsang, I., Xu, D. (2012). Batch Mode Adaptive Multiple Instance Learning for Computer Vision Tasks. 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), Providence: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
      • Yan, S., Xu, X., Xu, D., Lin, S., Li, X. (2012). Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification. 12th European Conference on Computer Vision, Berlin: Springer.
      • Li, W., Duan, L., Tsang, I., Xu, D. (2012). Co-Labeling: A New Multi-view Learning Approach for Ambiguous Problems. 12th IEEE International Conference on Data Mining (ICDM 2012), Los Alamitos: IEEE Computer Society. [More Information]
      • Wang, H., Xu, D. (2012). Comprehensive Common Spatial Patterns With Temporal Structure Information of EEG Data: Minimizing Nontask Related EEG Component. IEEE Transactions On Biomedical Engineering, 59(9), 2496-2505. [More Information]
      • Xu, Y., Xu, D., Lin, S., Han, T., Cao, X., Li, X. (2012). Detection of Sudden Pedestrian Crossings for Driving Assistance Systems. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics, 42(3), 729-739. [More Information]
      • Duan, L., Xu, D., Tsang, I. (2012). Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach. IEEE Transactions on Neural Networks and Learning Systems, 23(3), 504-518. [More Information]
      • Duan, L., Tsang, I., Xu, D. (2012). Domain Transfer Multiple Kernel Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(3), 465-479. [More Information]
      • Xu, Y., Lin, S., Liu, J., Xu, D., Cheung, C., Aung, T., Wong, T. (2012). Efficient optic cup detection from intra-image learning with retinal structure priors. The 15th International Conference on Medical Image Computing and Computer Assisted Intervention MICCAI 2012, Heidelberg: Springer.
      • Duan, L., Xu, D., Chang, S. (2012). Exploiting Web Images for Event Recognition in Consumer Videos: A Multiple Source Domain Adaptation Approach. 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), Providence: (IEEE) Institute of Electrical and Electronics Engineers.
      • Zeng, Z., Chan, T., Jia, K., Xu, D. (2012). Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition. 12th European Conference on Computer Vision (ECCV), Berlin: Springer Berlin Heidelberg. [More Information]
      • Xu, X., Tsang, I., Xu, D. (2012). Handling Ambiguity via Input-Output Kernel Learning. The 12th IEEE International Conference on Data Mining, Belgium: IEEE. [More Information]
      • Feng, J., Ni, B., Xu, D., Yan, S. (2012). Histogram contextualization. IEEE Transactions on Image Processing, 21(2), 778-788. [More Information]
      • Xu, D., Huang, Y., Zeng, Z., Xu, X. (2012). Human gait recognition using patch distribution feature and locality-constrained group sparse representation. IEEE Transactions on Image Processing, 21(1), 316-326. [More Information]
      • Nie, F., Xu, D., Li, X. (2012). Initialization independent clustering with actively self-training method. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics, 42(1), 17-27. [More Information]
      • Chen, L., Tsang, I., Xu, D. (2012). Laplacian Embedded Regression for Scalable Manifold Regularization. IEEE Transactions on Neural Networks and Learning Systems, 23(6), 902-915. [More Information]
      • Duan, L., Xu, D., Tsang, I. (2012). Learning with Augmented Features for Heterogeneous Domain Adaptation. 29th International Conference on Machine Learning, ICML 2012, UK.
      • Huang, Y., Xu, D., Nie, F. (2012). Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition. IEEE Transactions on Circuits and Systems for Video Technology, 22(3), 479-488. [More Information]
      • Li, J., Xu, D., Gao, W. (2012). Removing Label Ambiguity in Learning-Based Visual Saliency Estimation. IEEE Transactions on Image Processing, 21(4), 1513-1525. [More Information]
      • Huang, Y., Xu, D., Nie, F. (2012). Semi-Supervised Dimension Reduction Using Trace Ratio Criterion. IEEE Transactions on Neural Networks and Learning Systems, 23(3), 519-526. [More Information]
      • Chen, L., Xu, D., Tsang, I., Jiebo, L. (2012). Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement. IEEE Transactions on Multimedia, 14(4), 1057-1067. [More Information]
      • Liu, B., Cong, G., Xu, D., Zeng, Y. (2012). Time Constrained Influence Maximization in Social Networks. 12th IEEE International Conference on Data Mining (ICDM 2012), Los Alamitos: IEEE Computer Society. [More Information]
      • Duan, L., Xu, D., Tsang, I., Luo, J. (2012). Visual Event Recognition in Videos by Learning from Web Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(9), 1667-1680. [More Information]

      2011

      • Wu, X., Xu, D., Duan, L., Luo, J. (2011). Action Recognition using Context and Appearance Distribution. International Conference on Computer Vision and Pattern Recognition (CVPR) 2011, Providence, RI: IEEE. [More Information]
      • Duan, L., Wen, L., Tsang, I., Xu, D. (2011). Improving Web Image Search by Bag-Based Reranking. IEEE Transactions on Image Processing, 20(11), 3280-3290. [More Information]
      • Nie, F., Xu, D., Li, X., Xiang, S. (2011). Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics, 41(3), 675-685. [More Information]
      • Xu, Y., Xu, D., Lin, S., Liu, J., Cheng, J., Cheung, C., Aung, T., Wong, T. (2011). Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis. 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011), Berlin: Springer.
      • Nie, F., Zeng, Z., Tsang, I., Xu, D., Zhang, C. (2011). Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering. IEEE Transactions on Neural Networks, 22(11), 1796-1808. [More Information]
      • Li, W., Duan, L., Xu, D., Tsang, I. (2011). Text-based Image Retrieval using Progressive Multi-instance Learning. 2011 International Conference on Computer Vision, Barcelona: IEEE. [More Information]
      • Liu, Y., Xu, D., Tsang, I., Luo, J. (2011). Textual Query of Personal Photos Facilitated by Large-Scale Web Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(5), 1022-1036. [More Information]

      2010

      • Yang, Y., Wu, F., Xu, D., Zhuang, Y., Chia, L. (2010). Cross-media retrieval using query dependent search methods. Air Medical Journal, 43(8), 2927-2936. [More Information]
      • Huang, Y., Xu, D., Cham, T. (2010). Face and Human Gait Recognition Using Image-to-Class Distance. IEEE Transactions on Circuits and Systems for Video Technology, 20(3), 431-438. [More Information]
      • Nie, F., Xu, D., Tsang, I., Zhang, C. (2010). Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction. IEEE Transactions on Image Processing, 19(7), 1921-1932. [More Information]
      • Yang, Y., Xu, D., Nie, F., Yan, S., Zhuang, Y. (2010). Image Clustering Using Local Discriminant Models and Global Integration. IEEE Transactions on Image Processing, 19(10), 2761-2773. [More Information]
      • Xu, D., Cham, T., Yan, S., Duan, L., Chang, S. (2010). Near Duplicate Identification With Spatially Aligned Pyramid Matching. IEEE Transactions on Circuits and Systems for Video Technology, 20(8), 1068-1079. [More Information]
      • Yang, Y., Zhuang, Y., Tao, D., Xu, D., Jun, Y., Luo, J. (2010). Recognizing Cartoon Image Gestures for Retrieval and Interactive Cartoon Clip Synthesis. IEEE Transactions on Circuits and Systems for Video Technology, 20(12), 1745-1756. [More Information]
      • Chen, L., Xu, D., Tsang, I., Luo, J. (2010). Tag-based Web Photo Retrieval Improved by Batch Mode Re-tagging. 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA: IEEE. [More Information]
      • Huang, Y., Brown, M., Xu, D. (2010). User-assisted ink-bleed reduction. IEEE Transactions on Image Processing, 19(10), 2646-2658. [More Information]
      • Duan, L., Xu, D., Tsang, I., Luo, J. (2010). Visual Event Recognition in Videos by Learning from Web Data. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010, US: IEEE. [More Information]

      2009

      • Duan, L., Tsang, I., Xu, D., Chua, T. (2009). Domain Adaptation from Multiple Sources via Auxiliary Classifiers. 26th Annual International Conference on Machine Learning, New York, NY: ACM.
      • Duan, L., Tsang, I., Xu, D., Maybank, S. (2009). Domain Transfer SVM for video concept detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, FL: IEEE. [More Information]
      • Xu, D., Yan, S., Lin, S., Huang, T., Chang, S. (2009). Enhancing Bilinear Subspace Learning by Element Rearrangement. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(10), 1913-1920. [More Information]
      • Yang, Y., Xu, D., Nie, F., Luo, J., Zhuang, Y. (2009). Ranking with Local Regression and Global Alignment for Cross Media Retrieval. 17th ACM Multimedia Conference (ACM MM), New York: ACM. [More Information]
      • Yang, Y., Zhuang, Y., Xu, D., Pan, Y., Tao, D., Maybank, S. (2009). Retrieval based interactive cartoon synthesis via unsupervised bi-distance metric learning. 17th ACM Multimedia Conference (ACM MM), New York: ACM. [More Information]
      • Xu, D., Yan, S. (2009). Semi-supervised bilinear subspace learning. IEEE Transactions on Image Processing, 18(7), 1671-1676. [More Information]
      • Feiping, N., Xu, D., Tsang, I., Zhang, C. (2009). Spectral embedded clustering. Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09), Menlo Park, California: AAAI Press.
      • Liu, Y., Xu, D., Tsang, I., Luo, J. (2009). Using Large-Scale Web Data to Facilitate Textual Query Based Retrieval of Consumer Photos. 17th ACM Multimedia Conference (ACM MM), New York: ACM. [More Information]

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