Welcome to Associate Professor Jian Zhang's Website

Publications

Refereed Journal Publications since 2011

1. Hung, H., Zhang, J., Zhang, J., Xu, J., Wu, Q., “2020,Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification” Early Access, IEEE transactions on Multimedia

2. Gong, Y., Li, Z., Zhang, J, Liu, W., Zheng, Y. 2020, “Online Spatio-temporal Crowd Flow Distribution Prediction for Complex Metro System,” Early Access, IEEE transactions on Knowledge & Data Engineering

3. Yao, Y., Shen, F., Xie, G., Liu, L., Zhu, F., Zhang, J., Shen, S. T., 2020, “Exploiting Web Images for Multi-Output Classification: From Category to Subcategories” Early access, IEEE Transactions on Neural Networks and Learning Systems

4. Yao, Y., Y., Zhang, J., Fumin Shen, F., Liu. L., Zhu, F., Zhang, D., D., Shen, H. T., 2020, “Towards Automatic Construction of Diverse, High-Quality Image Datasets”, IEEE Transactions on Knowledge and Data Engineering, Vol. 32, Issue 32, pp. 1199 - 1211

5. Yao, L, Kusakunniran, W, Wu, Q, Zhang, J, Tang, Z & Yang, W 2020, 'Robust gait recognition using hybrid descriptors based on Skeleton Gait Energy Image', Pattern Recognition Letters.

6. Zhang. P., Xu, J., Wu, Q., Huang, Y., Zhang, J., 2019, “Top-Push Constrained Modality-Adaptive Dictionary Learning for Cross-Modality Person Re-Identification”, Early access, IEEE Transactions on Circuits and Systems for Video Technology

7. Zhao, M., Zhang, C., Zhang, J., Porikli, F. Bingbing Ni, B., Zhang, W. 2019, “Scale-aware Crowd Counting via Depth-embedded Convolutional Neural Networks”, Early access, IEEE Transactions on Circuits and Systems for Video Technology

8. Ding, G, Zhang, S, Khan, S, Tang, Z, Zhang, J & Porikli, F 2019, 'Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification', IEEE Transactions on Multimedia, vol. 21, no. 11, pp. 2891-2902

9. Shen, W, Wu, Y, Yuan, J, Duan, L, Zhang, J & Jia, Y 2019, 'Robust Distracter-Resistive Tracker via Learning a Multi-Component Discriminative Dictionary', IEEE Transactions on Circuits and Systems for Video Technology.

10. Wang, Y., Shuai, Y., Zhu, Y., Zhang, J., & An, P. (2019). Jointly learning perceptually heterogeneous features for blind 3D video quality assessment. Neurocomputing, 332, 298-304

11. Cheng, H., Zhang, J., Wu, Q., & An, P. (2019). A computational model for stereoscopic visual saliency prediction. IEEE Transactions on Multimedia, 21(3), 678-689

12. Yao, Y, Shen, F, Zhang, J, Liu, L, Tang, Z & Shao, L 2019, 'Extracting Privileged Information for Enhancing Classifier Learning', IEEE Transactions on Image Processing, vol. 28, no. 1, pp. 436-450

13. Yao, Y, Shen, F, Zhang, J, Liu, L, Tang, Z & Shao, L 2019, 'Extracting Multiple Visual Senses for Web Learning', IEEE Transactions on Multimedia, vol. 21, no. 1, pp. 184-196.

14. Huang, Y., Xu, J., Wu, Q., Zheng, Z., Zhang, Z., & Zhang, J. (2019). Multi-pseudo Regularized Label for Generated Data in Person Re-Identification. IEEE Transactions on Image Processing, 28(3), 1391-1403

15. Zhang, J, Wu, Q, Zhang, J, Shen, C, Lu, J & Wu, Q 2019, 'Heritage image annotation via collective knowledge', PATTERN RECOGNITION, vol. 93, pp. 204-214

16. Yao, L, Kusakunniran, W, Wu, Q, Zhang, J, Tang, Z & Yang, W 2019, 'Robust gait recognition using hybrid descriptors based on Skeleton Gait Energy Image', Pattern Recognition Letters

17. Yang, D, Zou, Y, Zhang, J & Li, G 2019, 'C-RPNs: Promoting object detection in real world via a cascade structure of Region Proposal Networks', NEUROCOMPUTING, vol. 367, pp. 20-30

18. Li, L, Liu, Z & Zhang, J 2018, 'Unsupervised image co-segmentation via guidance of simple images', Neurocomputing, vol. 275, pp. 1650-1661

19. Wang, Y., Zhang, J., Liu, Z., Wu, Q., Zhang, Z. & Jia, Y. 2018, 'Depth Super-Resolution on RGB-D Video Sequences with Large Displacement 3D Motion', IEEE Transactions on Image Processing, vol. 27, no. 7, pp. 3571-3585

20. Zuo, Y, Wu, Q, Zhang, J & An, P 2018, 'Minimum Spanning Forest with Embedded Edge Inconsistency Measurement Model for Guided Depth Map Enhancement', IEEE Transactions on Image Processing, vol. 27, no. 8, pp. 4145-4159

21. Zuo, Y, Wu, Q, Zhang, J & An, P 2018, 'Explicit Edge Inconsistency Evaluation Model for Color-guided Depth Map Enhancement', IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 2, pp. 439-453

22. Zhang, J, Wu, Q, Shen, C, Zhang, J & Lu, J 2018, 'Multilabel Image Classification with Regional Latent Semantic Dependencies', IEEE Transactions on Multimedia, vol. 20, no. 10, pp. 2801-2813

23. Shen, W, Wu, Y, Yuan, J, Duan, L, Zhang, J & Jia, Y 2018, 'Robust Distracter-Resistive Tracker via Learning a Multi-Component Discriminative Dictionary', IEEE Transactions on Circuits and Systems for Video Technology

24. Zhao, J, Mao, X & Zhang, J 2018, 'Learning deep facial expression features from image and optical flow sequences using 3D CNN', Visual Computer, vol. 34, no. 10, pp. 1461-1475

25. Kusakunniran, W, Wu, Q, Ritthipravat, P & Zhang, J 2018, 'Hard exudates segmentation based on learned initial seeds and iterative graph cut.', Computer methods and programs in biomedicine, vol. 158, pp. 173-183

26. Huang, X, Zhang, J, Wu, Q, Fan, L & Yuan, C 2018, 'A coarse-to-fine algorithm for matching and registration in 3D cross-source point clouds', IEEE Transactions on Circuits and Systems for Video Technology, vol 28, no. 10, pp. 2965-2977

27. Yao, Y., Zhang, J., Shen, F., Hua, X., Xu, J. & Tang, Z. 2017, 'Exploiting Web Images for Dataset Construction: A Domain Robust Approach', IEEE Transactions on Multimedia, vol. 19, no. 8, pp. 1771-1784

28. Huang, X., Zhang, J., Fan, L., Wu, Q. & Yuan, C. 2017, 'A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures', IEEE Transactions on Image Processing, vol. 26, no. 7, pp. 3261-3276

29. Yao, Y., Zhang, J., Shen, F., Hua, X., Xu, J. & Tang, Z. 2017, 'A new web-supervised method for image dataset constructions', Neurocomputing, vol. 236, pp. 23-31

30. Cheng, H., Zhang, J., Wu, Q., An, P. & Liu, Z. 2017, 'Stereoscopic visual saliency prediction based on stereo contrast and stereo focus', EURASIP Journal on Image and Video Processing

31. Guo, D., Xu, J., Zhang, J., Xu, M., Cui, Y. & He, X. 2017, 'User relationship strength modeling for friend recommendation on Instagram', Neurocomputing, vol. 239, pp. 9-18

32. Zhao, Y., Di, H., Zhang, J., Lu, Y., Lv, F. & Li, Y. 2017, 'Region-based Mixture Models for human action recognition in low-resolution videos', Neurocomputing, Volume 247, 19 July 2017, Pages 1–15

33. Huang, S., Zhang, J., Schonfeld, D., Wang, L. & Hua, X.-.S. 2017, 'Two-Stage Friend Recommendation Based on Network Alignment and Series Expansion of Probabilistic Topic Model', IEEE Transactions on Multimedia, vol. 19, no. 6, pp. 1314-1326

34. Guo, D., Xu, J., Zhang, J., Xu, M., Cui, Y. & He, X. 2017, 'User relationship strength modeling for friend recommendation on Instagram', Neurocomputing, vol. 239, pp. 9-18

35. Edwards, D. Cheng, M., Wong, A., Zhang, J. & Wu, Q. 2017, 'Ambassadors of Knowledge Sharing: Co-produced Travel Information Through Tourist-Local Social Media Exchange', International Journal of Contemporary Hospitality Management Vol. 29, no. 2, pp. 690-708

36. Wang, Y., Zhang, J., Liu, Z., Wu, Q., Chou, P., Zhang, Z. & Jia, Y. 2016, 'Handling Occlusion and Large Displacement through Improved RGB-D Scene Flow Estimation', IEEE Transactions on Circuits and Systems for Video Technology, vol. 26. NO. 7, pp. 1265-1278

37. Huang, S., Zhang, J., Wang, L. & Hua, X.-.S. 2016, 'Social Friend Recommendation Based on Multiple Network Correlation', IEEE TRANSACTIONS ON MULTIMEDIA, vol. 18, no. 2, pp. 287-299

38. Yazhou Yao, Jian Zhang, Fumin Shen, Xian-Sheng Hua, Jingsong Xu and Zhenmin Tang, 2016 “A new web-supervised method for image dataset constructions”, Neurocomputing

39. Yuwei Wu, Yunde Jia, Peihua Li, Jian Zhang and Junsong Yuan, 2015 “Manifold Kernel Sparse Representation of Symmetric Positive Definite Matrices and Its Applications”, IEEE Transactions on Image Processing, Vol 24, No 11, pp. 3729-3741

40. Lu, S., Mei, T., Wang, J., Zhang, J., Wang, Z. & Li, S. 2015, 'Exploratory Product Image Search With Circle-to-Search Interaction', IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 7, pp. 1190-1202

41. Shu Wang, Jian Zhang, Tony, X. Han and Zhenjiang Miao 2015 “Sketch-based Image Retrieval through Hypothesis Driven Object Boundary Selection with HLR Descriptor” IEEE Transactions on Multimedia, Vol 17, No. 7, pp. 1058-1067

42. Ma, X., Liu, D., Zhang, J. & Xin, J. 2015, 'A fast affine-invariant features for image stitching under large viewpoint changes',Neurocomputing, vol. 151, no. P3, pp. 1430-1438

43. Zhou, T., Lu, Y., Lv, F., Di, H., Zhao, Q. & Zhang, J. 2015, 'Abrupt motion tracking via nearest neighbour field driven stochastic sampling', Neurocomputing, vol. 165, pp. 350360

44. Cui, Y., Zhang, J., Guo, D. & Jin, Z. 2015, 'Robust facial landmark localization using classified random ferns and pose-based initialization', Signal Processing, vol. 110, pp. 4653.

45. Liu, X., Wang, L., Huang, G.-.B., Zhang, J. & Yin, J. 2015, 'Multiple kernel extreme learning machine', Neurocomputing, vol. 149, pp. 253-264

46. Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, and Huan Liu, 2014 “Global and Local Structure Preservation for Feature Selection” IEEE Transactions on Neural Networks and Leaning Systems, Vol. 25, No. 6, pp. 1083 – 1095, JUNE

47. Xinwang Liu, Luping Zhou, Lei Wang, Jian Zhang, Jianping Yin, Dinggang Shen, 2014 “An Efficient Radius-incorporated MKL Algorithm for Alzheimers Disease Prediction” Accepted by Pattern Recognition

48. Worapan Kusakunniran, Qiang Wu, Jian Zhang and Hongdong Li and Liang Wang, 2014 “Recognizing Gaits across Views through Correlated Motion Co-clustering” IEEE Transactions on Image Processing, Vol. 23. No. 2, pp.696 – 709.

49. Tuan Hue Thi, Li Wang, Ning Ye, Jian Zhang, Sebastian Maurer-Stroh and Li Cheng, 2014 “Recognizing Flu-like Symptoms from Videos”, BMC Bioinformatics (http://www.biomedcentral.com/1471-2105/15/300, Open Access).

50. Jingsong Xu, Qiang Wu, Jian Zhang, Fumin Shen and Zhenmin Tang, 2014 “Boosting Separability in Semi-supervised Learning for Object Classification” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 24, No. 7, pp.1197-1208.

51. Shiyang Lu, Tao Mei, Jingdong Wang, Jian Zhang, Zhiyong Wang, Shipeng Li, 2014 “Browseto-Search: Interactive Exploratory Search with Visual Entities”, ACM Transactions on Information Systems (TOIS), No. 18, Vol. 32 Issue 4.

52. Jingsong Xu, Qiang Wu, Jian Zhang and Zhenmin Tang, 2014 “Exploiting Universum Data in AdaBoost Using Gradient Descent” ELSEVIER Journal of Image and Vision Computing, Vol. 32, Issue 8, pp.550-557.

53. Yuwei Wu, Bo Ma, Min Yang, Jian Zhang and Yunde Jia, 2014 “Metric Learning based Structure Appearance Model for Robust Visual Tracking”, IEEE Transactions on Circuits and Systems for Video Technology, No. 5, pp.865 – 877.

54. Xinwang Liu, Lei Wang, Jianping Yin, En Zhu and Jian Zhang, 2013 “An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning” IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 43. Issue 2, pp.557-569.

55. Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou and Jian Zhang, 2013 “An Adaptive Approach to Learning Optimal Neighborhood Kernels” IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 43. Issue 1, pp. 371-384.

56. Shiyang Lu, Jian Zhang, Zhiyong Wang and David Dagan Feng, 2013 “Fast Human Action Classification and VOI Localization with Enhanced Sparse Coding”, Journal of Visual Communication and Image Representation, Vol 24, Issue 2, pp. 127-136, February.

57. Kusakunniran, W., Wu, Q., Zhang, J., Ma, Y., & Li, H. (2013). A New View-Invariant Feature for Cross-View Gait Recognition. IEEE Transactions on Information Forensics and Security, 8(10), 1642-1653.

58. Xin, J., Chen, K., Bai, L., Liu, D., & Zhang, J. 2013. Depth Adaptive Zooming Visual Servoing For A Robot With A Zooming Camera. International Journal of Advanced Robotic Systems, 10(1), 1-11

59. Kusakunniran, W., Wu, Q., Zhang, J., & Li, H. (2012). Cross-view and multi-view gait recognitions based on view transformation model using multi-layer perceptron. Pattern Recognition Letters, 33, 882-889.

60. Worapan Kusakunniran, Qiang Wu, Jian Zhang and Hongdong Li, 2012 "Gait Recognition across Various Walking Speeds using Higher-order Shape Configuration based on Differential Composition Model," IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 42, Issue 6, pp. 1654-1668.

61. Worapan Kusakunniran, Qiang Wu, Jian Zhang and Hongdong Li, 2012 “Gait Recognition under Various Viewing Angles based on Correlated Motion Regression” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 22 Issue 6, pp.966 – 980.

62. Jingsong Xu, Qiang Wu and Jian Zhang, 2012 “Fast and Accurate Human Detection Using a Cascade of Boosted MS-LBP Features” IEEE Signal Processing Letter, Vol. 19, Issue 10, pp. 676-679.

63. Tuan Hue Thi, Li Cheng, Jian Zhang, Wang Li and Shinichi Satoh, 2012 “Integrating Local Action Elements for Action Analysis”, Journal of Computer Vision and Image Understanding (CVIU), Vol. 116, Issue 3, pp. 378-395.

64. Tuan Hue Thi, Li Cheng, Jian Zhang, Wang Li and Shinichi Satoh, 2012 “Structured learning of local features for human action classification and localization” Journal of Image and Vision Computing, Vol. 30 Issue 1, pp. 1-14. (As an Editor’s Choice).

65. Chunhua Shen, Sakrapee (Paul) Paisitkriangkrai and Jian Zhang, 2011 “Efficiently Learning a Detection Cascade with Sparse Eigenvectors”, IEEE Transactions on Image Processing, Vol.20, Issue 1, pp.22-35.

66. Sakrapee (Paul) Paisitkriangkrai, Chunhua Shen and Jian Zhang, 2011 “Incremental Training a Detector Using Online Sparse Eigen-decomposition”, IEEE Transactions on Image Processing, Vol 20, Issue 1, pp.213-225.

67. Worapan Kusakunniran, Qiang Wu, Jian Zhang and Hongdong Li, 2011 “Across-view and Multi-view Gait Recognitions based on View Transformation Model using Multi-Layer Perceptron” Journal of Pattern Recognition Letters for Special Issue: ICPR2010 Award.

Refereed Conference Papers Since 2011 published in full in proceedings

68. Huang, X., Mei, G., Zhang, J., 2020, “Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences,” Accepted by IEEE/CVF Conference on Computer Vision and Pattern Recognition

69. Gong, Y., Li, Z., Zhang, J., Liu W., Yi, J., 2020, “Potential Passenger Flow Prediction: A Novel Study for Urban Transportation,” Thirty-Fourth AAAI Conference on Artificial Intelligence

70. Gong, Y., Li Z., Zhang, J., 2020, “A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data” Accepted by IJCAI-PRICAI

71. Anan Du, Pang, S., Huang, X., Zhang, J., Wu, Q., 2020 “Exploring Long-short-Term Context for Point Cloud Semantic Segmentation,” accepted by IEEE International Conference on Image Processing

72. Zhang, C., Yao, Y., Zhang, J., Chen, J., Huang, P., Zhang, J., Tang Z., 2020, “Web-Supervised Network for Fine-Grained Visual Classification,” accepted by IEEE International Conference on Multimedia & Expo

73. Chen, T., Zhang, J., Xie, G-S., Yao, Y., Huang, X., Tang, Z., 2020 “Classification Constrained Discriminator for Domain Adaptive Semantic Segmentation,” accepted by IEEE International conference on Multimedia & Expo

74. Zhang, L., Zhang, J., Li, Z., & Xu, J., 2020 “Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks for Multimodal Marketing Intention Detection,” accepted by IEEE International Conference on Multimedia & Expo

75. Zhao, M., Zhang, J., Zhang, C., Zhang, W., 2019, “Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting”, IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 12728-12737

76. Zhang, J., Wu, Q., Zhang, J., Shen, C., Lu, J. 2019, “Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Network”, IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2951- 2959

77. Zirui Li; Yuexian Zou; Guoshuai Wang; Jian Zhang, 2019 “Scale-Informed Density Estimation for Dense Crowd Counting”, IEEE International Conference on Visual Communication and Image Processing.

78. Lina Li; Zhi Liu; Jian Zhng; Xiaofei Zhou, 2019 “Learn Image Object Co-segmentation with Multi-scale Feature Fusion”, IEEE International Conference on Visual Communication and Image Processing.

79. Anan Du, Xiaoshui Huang, Jian Zhang, Lingxiang Yao, Qiang Wu, 2019 “KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION”, IEEE International Conference on Image Processing, pp. 2576-2580

80. Huang, H, Zheng, J, Zhang, J, Wu, Q & Xu, J 2019, 'Compare more nuanced: Pairwise alignment bilinear network for few-shot fine-grained learning', Proceedings - IEEE International Conference on Multimedia and Expo, pp. 91-96

81. Li, Q, Wu, Q, Zhu, C, Zhang, J & Zhao, W 2019, 'Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, China, pp. 222-236.

82. Li, Z, Zhang, J, Wu, Q, Gong, Y, Yi, J & Kirsch, C 2019, 'Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points', KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), ASSOC COMPUTING MACHINERY, Anchorage, AK, pp. 2848-2856

83. Huang, X, Fan, L, Wu, Q, Zhang, J & Yuan, C 2019, 'Fast registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement', Proceedings - IEEE International Conference on Multimedia and Expo, pp. 1552-1557

84. Shen, J, Wang, Y & Zhang, J 2018, 'Memory optimized Deep Dense Network for Image Super-resolution', Digital Image Computing: Techniques and Applications, IEEE, Canberra, Australia

85. Shen, J, Zhang, J & Wang, Y 2018, 'Deep Bi-Dense Networks for Image Super-Resolution', Digital Image Computing: Techniques and Applications, Canberra, Australia

86. Ye, P, Wang, Y, Xia, Y, An, P & Zhang, J 2018, 'Enhanced Saliency Prediction via Free Energy Principle', DIGITAL TV AND MULTIMEDIA

COMMUNICATION, 15th International Forum on Digital TV and Multimedia Communication (IFTC), SPRINGER INTERNATIONAL PUBLISHING AG, Shanghai, PEOPLES R CHINA

87. Zhao, M, Zhang, J, Zhang, C & Zhang, W 2018, 'Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks', ACCV 2018: Computer Vision, Asian Conference on Computer Vision, Springer, Perth, Australia

88. Guo, D, Zhao, W, Cui, Y, Wang, Z, Chen, S & Zhang, J 2018, 'Siamese network based features fusion for adaptive visual tracking', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 759-771

89. Zhang, J, Wu, Q, Shen, C, Zhang, J, Lu, J & van den Hengel, A 2018, 'Goal-Oriented Visual Question Generation via Intermediate Rewards', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 189-204

90. Yao, Y, Zhang, J, Shen, F, Yang, W, Hua, XS & Tang, Z 2018, 'Extracting privileged information from untagged corpora for classifier learning', IJCAI International Joint Conference on Artificial Intelligence, pp. 1085-1091.

91. Gong, Y, Li, Z, Zhang, J, Liu, W, Zheng, Y & Kirsch, C 2018, 'Network-wide Crowd Flow Prediction of Sydney Trains via customized Online Non-negative Matrix Factorization', The 27th ACM International Conference on Information and Knowledge Management, Turin, Italy

92. Zhang, L, Xu, J, Zhang, J & Gong, Y 2018, 'Information Enhancement for Travelogues via a Hybrid Clustering Model', Digital Image Computing: Techniques and Applications, IEEE, Canberra, ACT, Australia

93. Yao, Y, Zhang, J, Fumin, S, Wankou, Y, Pu, H & Zhenmin, T 2018, 'Discovering and Distinguishing Multiple Visual Senses for Polysemous Words', https://aaai.org/Library/AAAI/aaai18contents.php, The Thirty-Second AAAI Conference on Artificial Intelligence, The AAAI Press, New Orleans, pp. 523-530

94. Zhang, P, Wu, Q, Xu, J & Zhang, J 2018, 'Long-Term Person Re-identification Using True Motion from Videos', 2018 IEEE Winter Conference on Applications of Computer Vision, Lake Tahoe, NV, USA, pp. 494-502

95. Huang, H, Xu, J, Zhang, J, Wu, Q & Kirsch, C 2018, 'Railway Infrastructure Defects Recognition using Fine-grained Deep Convolutional Neural Networks', 2018 Digital Image Computing: Techniques and Applications (DICTA), Digital Image Computing: Techniques and Applications, IEEE, Canberra, Australia

96. Li, Z, Zhang, J, Wu, Q & Kirsch, C 2018, 'Field-regularised factorization machines for mining the maintenance logs of equipment', Advances in Artificial Intelligence 31st Australasian Joint Conference on Artificial Intelligence, Wellington, New Zealand, December 11–14, 2018 Proceedings (LNAI 11320), pp. 172-183

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97. Gu, S., Lu, Y., Zhang, L. & Zhang, J. 2017, 'RGB-D Tracking Based on Kernelized Correlation Filter with Deep Features', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 105-113

98. Jiang, Z., Huynh, D.Q., Zhang, J., Qiang, W. & Zhang, J.2017, 'Part-based Data Association for Visual Tracking', Proceedings of Digital Image Computing: Techniques and Applications (DICTA), IEEE, Sydney, pp. 1-8

99. Kusakunniran, W., Wu, Q. & Zhang, J. 2017, 'Action Recognition based on Correlated Codewords of Body Movements', Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia, pp. 1-8

100. Muming Zhao, Jian Zhang, Faith Porikli, Chongyang Zhang, Wenjun Zhang, 2017 “LEARNING A PERSPECTIVE-EMBEDDED DECONVOLUTION NETWORK FOR CROWD COUNTING”, Proceedings - IEEE International Conference on Multimedia and Expo.

101. Y. Zuo, Q. Wu, J. Zhang & P. An, 2017 “MINIMUM SPANNING FOREST WITH EMBEDDED EDGE INCONSISTENCY MEASUREMENT FOR COLOR-GUIDED DEPTH MAP UPSAMPLING”, Proceedings - IEEE International Conference on Multimedia and Expo.

102. Jing Xin, Xing Du & Jian Zhang, 2017 “DEEP LEARNING FOR ROBUST OUTDOOR VEHICLE VISUAL TRACKING”, Proceedings - IEEE International Conference on Multimedia and Expo.

103. Zhengqiang Jiang, Du Q. Huynh, Jian Zhang, Qiang Wu, “Part-based Data Association for Visual Tracking”, 2017 Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia

104. Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jian Zhang and Zhenming Tang, “Robust Gait Recognition under Unconstrained Environments using Hybrid Descriptions”, 2017 Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia

105. Worapan Kusakunniran, Qiang Wu, Jian Zhang, “Action Recognition based on Correlated Codewords”, 2017 Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia

106. Yao, Y., Zhang, J., Shen, F., Hua, X., Xu, J. & Tang, Z. 2016, 'Automatic image dataset construction with multiple textual metadata', Proceedings - IEEE International Conference on Multimedia and Expo.

107. Wu, S., Jing, X.Y., Yue, D., Zhang, J., Yang, K.J. & Yang, J. 2016, 'Unsupervised visual domain adaptation via dictionary evolution”, Proceedings - IEEE International Conference on Multimedia and Expo.

108. Zhou, T., Lu, Y., Di, H. & Zhang, J. 2016, 'Video object segmentation aggregation', Proceedings - IEEE International Conference on Multimedia and Expo.

109. Zhao, Y., Di, H., Zhang, J., Lu, Y. & Lv, F. 2016, 'Recognizing human actions from lowresolution videos by region-based mixture models', Proceedings - IEEE International Conference on Multimedia and Expo.

110. Zuo, Y., Wu, Q., Zhang, J. & An, P. 2016, 'Explicit modeling on depth-color inconsistency for color-guided depth up-sampling',Proceedings - IEEE International Conference on Multimedia and Expo.

111. Xiaoshui Huang, Jian Zhang, Qiang Wu, Lixin Fan & Chun Yuan, 2016, ‘A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds.’ DICTA, Gold coast, pp. 53-58.

112. Junjie Zhang, Jian Zhang, Jianfeng Lu, Chunhua Shen, et al, 2016, ‘SLNSW-UTS: A historical image dataset for image multi-labeling and retrieval.’ 2016 Digital Image Computing: Techniques and Applications (DICTA), Gold coast, Australia, pp. 791-796.

113. Nan-Hung Cho, Qiang Wu, Jingsong Xu, Jian Zhang, 2016, ‘Content Authoring Using Single Image in Urban Environments for Augmented Reality.’ 2016 Digital Image Computing: Techniques and Applications (DICTA) Gold coast, Australia, pp. 711-717.

114. Yazhou Yao, Jian Zhang, Xian-Sheng Hua, Fumin Shen and Zhenmin Tang, “Extracting Visual Knowledge from the Internet: Making Sense of Image Data”, International Conference on Multimedia Modeling, pp: 862-873, 2016.

115. Yazhou Yao, Xian-Sheng Hua, Fumin Shen, Jian Zhang and Zhenmin Tang, “A Domain Robust Approach For Image Dataset Construction”, ACM International Conference on Multimedia, pp: 212-216, 2016

116. Huang, X., Fan, L., Zhang, J., Wu, Q. & Yuan, C. 2016, 'Real Time Complete Dense Depth Reconstruction for a Monocular Camera”, Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, Las Vegas, Nevada., pp. 674-679.

117. Xiaoshui Huang, Jian Zhang, Qiang Wu, Yuan Chun and Lixin Fan,“Dense Correspondence Using Non-local DAISY Forest”, accepted by 2015 International Conference on Digital Image Computing Techniques

118. Hao Cheng, Jian Zhang, Ping An and Zhi Liu, “A Novel Saliency Model for Stereoscopic Images”, accepted by accepted by 2015 International Conference on Digital Image Computing Techniques

119. Xiaoshui Huang, Yuan Chun and Jian Zhang, “Graph cuts stereo matching based on Patch-Match and ground control points constraint”, Pacific Rim Conference on Multimedia (PCM), 16-18 September 2015, Gwangiu, Korea.

120. Shangrong Huang, Jian Zhang, Shiyang Lu and Xian_Sheng Hua, “Social Frind Recommendation Based on Network Correlation and Feature Co-clustering”, The ACM International Conference on Multimedia Retrieval, 23-26 June 2015, Shanghai, China.

121. Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang, “Absent Multiple Kernel Learning”, 25-30 January 2015, Austin Texas, USA

122. Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, “Sample-adaptive Multiple Kernel Learning”, pp.1975-1981, The Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), 27–31 July 2014, Québec Convention Center, Québec City, Québec, Canada

123. Jingsong Xu, Qiang Wu, Jian Zhang, Boreak Silk, Gia Thuan Ngo and Zhenmin Tang, “Efficient People Counting with Limited Manual Interfaces”, The International Conference on Digital Image Computing: Techniques and Applications (DICTA), 25-27 November 2014, Wollongong, NSW Australia

124. Dongyan Guo, Jian Zhang, Xinwang Liu, Ying Cui and Chunxia Zhao, “Multiple Kernel Learning Based Multi-View Spectral Clustering”, International Conference on Pattern Recognition, pp. 3774-3779, 24-28 August 2014 Stockholm, Sweden

125. Furong Peng, Qiang Wu, Lixin Fan, Jian Zhang, Yu You, Jianfeng Lu, Jin-Yu Yang “Street View Cross-Sourced Point Cloud Matching and Registration” IEEE International Conference on Image Processing, pp. 2026-2030, 27-30 October 2014, CNIT La Defense, Paris, France

126. Yucheng Wang, Jian Zhang, Zicheng Liu, Qiang Wu, Philip Chou, Zhengyou Zhang, and Yunde Jia, “Completed Dense Scene Flow in RGB-D Space”, accepted by Asian Conference on Computer Vision Workshop, 1-5 Nov. 2014.

127. Shangrong Huang, Jian Zhang, Xinwang Liu, lei wang, “A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection”, International Conference on Pattern Recognition, pp. 1615-1620, 24-28 August 2014, Stockholm, Sweden

128. Yucheng Wang, Huijun Di, Bingjie Wang, Wei Liang, Jian Zhang, Yunde Jia, “Depth Super-Resolution by Fusing Depth Imaging and Stereo Vision with Structural Determinant Information Inference”, International Conference on Pattern Recognition, pp. 4212-4217, 24-28 August 2014, Stockholm, Sweden

129. Dongyan Guo, Jian Zhang, Min Xu, Xiangjian He, Minxian Li and Chunxia Zhao, “Multiple Features Distance Preserving (MFDP) Model for Saliency Detection”, The International Conference on Digital Image Computing: Techniques and Applications (DICTA), 25-27 November 2014, Wollongong, NSW Australia

130. Yin Song, Jian Zhang, Longbing Cao, and Morgan Sangeux “On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait Analysis” ECML/PKDD, pp.563-578, 23-27 Sept. 2013, Prague, Czech Republic.

131. Shu Wang, Jian Zhang and Zhenjing Miao, “A New Edge Feature for head-shoulder Detection”, IEEE International Conference on Image Processing 15-18 Sept. 2013, Melbourne, Australia

132. Jingsong Xu, Qiang Wu, Jian Zhang, Fumin Shen and Zhenmin Tang, “Training Boostinglike Algorithms with Semi-supervised Subspace Learning”, IEEE International Conference on Image Processing 15-18 Sept. 2013, Melbourne, Australia

133. Shu Wang, Zhenjing Miao and Jian Zhang, “Simultaneously Detect and Segment Pedestrian”, IEEE International Conference on Multimedia and Expo. 15-19 July, 2013, San Jose, USA.

134. Worapan Kusakunniran, S. Satoh, Jian Zhang and Qiang Wu, “Attribute-based Learning for Large Scale Object Classification” IEEE International Conference on Multimedia and Expo. 15-19 July 2013, San Jose, US.

135. Wanru Xu, Zhenjing Miao and Jian Zhang, “Spatial-Temporal context for action recognition combined with confidence and contribution weight”, The 2nd Asian Conference on Pattern Recognition (ACPR2013), November 5-8, 2013

136. Yue Wu, Shiyang Lu, Tao Mei, Jian Zhang, Shipeng Li, “Local visual words coding for low bit rate mobile visual search”. ACM Multimedia Conference, pp. 989-992, Nov. 2012, Nara, Japan.

137. Shiyang Lu, Tao Mei, Jingdong Wang, Jian Zhang, Zhiyong Wang, David Dagan Feng, Jian-Tao Sun, Shipeng Li: “Browse-to-search”. ACM Multimedia Conference, pp. 13231324, Nov. 2012, Nara, Japan.

138. Yuan Shen, Zhenjiang Miao, Jian Zhang, “Unsupervised Online Learning Trajectory Analysis Based on Weighted Directed Graph” 21st International Conference on Patter Recognition 2012, Tsukuba Science City, Japan, Nov. 2012

139. Jingsong Xu, Qiang Wu, Jian Zhang & Zhenmin Tang, "Object Detection Based on Cooccurrence GMuLBP Features," IEEE International Conference on Multimedia & Expo (ICME), pp. 943-948, July 2012, Melbourne, Australia.

140. Alyssa Quek, Zhiyong Wang, Jian Zhang and Dagan Feng, “Structural Image Classification with Graph Neural Networks”, International Conference on Digital Image Computing - Techniques and Applications (DICTA'11), December 2011, Noosa, Queensland, Australia.

141. Zelin Li, Jian Zhang, Qiang Wu, Glenn Geers “SKRWM based descriptor for pedestrian detection in thermal images”, 2011 International Workshop on Multimedia Signal Processing, October 2011, Hangzhou, China

142. Xianghang Liu and Jian Zhang, “Active Learning for Human Action Recognition with Gaussian Processes”, IEEE International Conference on Image Processing (ICIP), Sept. 2011, Brussels, Belgium.

143. Kusakunniran, W., Wu, Q., Zhang, J., & Li, H. (2011). Pairwise Shape configuration-based PSA for gait recognition under small viewing angle change. In G. L. Foresti, & B. Rinner (Eds.), 2011 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) (pp. 17-22). USA