教育经历 1978.9 - 1982.7：华中工学院，本科毕业，获学士学位。 1985.9 - 1988.7：武汉工学院，研究生毕业，获硕士学位。 1998.9 - 2002.12：华中科技大学，研究生毕业，获博士学位。 工作经历 1982.7 - 1985.8：武汉钢铁公司冷轧厂，担任助理工程师。 1992.4 - 2002.11：武汉钢铁公司第三炼钢厂，担任高级工程师。 2004.7 - 至今：华中科技大学计算机学院，担任教授、博导。 2005.7 - 2016.10：华中科技大学计算机学院，担任副院长、教授 。

人工智能 机器学习 计算机视觉 图像处理 工业大数据分析 工业产品表面质量检测 虚拟现实与增强现实 智慧城市与智能视频监控 智能虚拟教学 团队成员

2012.6-至今中国计算机学会虚拟现实专委会常务会员 2013.6-至今中国图像图形学学会理事 2016.8-至今武汉中国光谷VR、AR产业创新联盟理事长 2013.6-至今澳大利亚Charles Sturt 大学计算机学院兼职教授

[1]. Gwang-Min Choe, Tianjiang Wang, Qi Feng, Chun-Hwa Choe, Sokmin Han, Hun Kim: Sophisticated Tracking Framework with Combined Detector. ICIG (3) 2015: 402-409 [2]. Khawlah Hussein Ali, Tianjiang Wang: Recognition of Human Action and Identification Based on SIFT and Watermark. ICIC (2) 2014: 298-309 [3]. Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng: DTRF: A physiologically motivated method for image description.ICIP2014: 5666-5670 [4]. Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang:Fuzzy c-means clustering with a new regularization term for image segmentation. IJCNN 2014: 2862-2869 [5]. Chunlong Hu, Liyu Gong, Tianjiang Wang, Qi Feng:Effective head pose estimation using Lie Algebrized Gaussians. ICME 2013: 1-6 [6]. Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang:Thin Plate Spline Latent Variable Models for dimensionality reduction. IJCNN 2012: 1-8 [7]. Liyu Gong, Tianjiang Wang, Chengshuo Wang, Fang Liu, Fuqiang Zhang and Xiaoyuan Yu, “Recognizing Affect from Non-stylized Body Motion Using Shape of Gaussian Descriptors”, In ACM Symposium On Applied Computing (SAC), 2010 [8]. Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul W. Kwan: Learning Gradients with Gaussian Processes. PAKDD (2) 2010: 113-124 [9]. Liyu Gong, Tianjiang Wang and Fang Liu. Shape of Gaussians as Feature Descriptors. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. [10].Liyu Gong, Tianjiang Wang, Yan Yu, Fang Liu and Xianggen Hu. A Lie group based Gaussian Mixture Model distance measure for multimedia comparison. In Proceedings of the First International Conference on Internet Multimedia Computing and Service(ICIMCS),2009. [11].Tian-jiang Wang, Gang Chen and Perfecto Herrera. Music retrieval based on a multi-samples selection strategy for support vector machine active learning. In ACM symposium on applied computing (SAC), 2009. [12].Liyu Gong, Tianjiang Wang and Fang Liu, “A Lie Group based Spatiogram Similarity Measure”, In International Conference on Multimedia and Expo (ICME), 2009. [13].Fang Liu, Xiang Peng, Tianjiang Wang and Songfeng Lu. A Density-based Approach for Text Extraction in Images. In International Conference on Pattern Recognition (ICPR), 2008. [14].Fang Liu, Shaohua Zhu, Yuxiao Fu, Fan Fan Tianjiang Wang and Songfeng Lu. Image Analysis of the Relationship between Changes of Cornea and Postmortem Interval. In Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2008 [15].Tianjiang Wang, Liyu Gong and Fang Liu. Detecing Human in Still Images by Learning Multi-scale Mid-level Features, International Conference on Innovative Computing, Information and Control (ICICIC), 2008. [16].Chen Gang and Wang Tianjiang. A Novel Music Retrieval System with Relevance Feedback, In International Conference on Innovative Computing, Information and Control (ICICIC), 2008. [17].Fang Liu, Xiang Peng, Tianjiang Wang. A New Method for Text Detection and Segmentation from Complex Images, SPIE Fifth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR), 2007. [18].Tianjiang Wang, Yi Zhang, A Digital Watermarking Method in H.264 Video Transmission, The 2006 International Conference on Communication Technology, GuiLin, P. R. China, 2006. [19].Tianjiang Wang, Zhengding Lu, Fan Li, Distance Measures Between Vague Sets (Values), Proceedings of the 6th Asia-Pacific Conference on Control & Measurement, Dali, P.R.China, 2004. Beijing. China Aviation Industry Press [20].Tianjiang Wang, Zhengding Lu, Fan Li, New Linear Interpolative Reasoning in Sparse Fuzzy Rule, Proceedings of the 6th Asia-Pacific Conference on Control & Measurement, Dali P.R.China. 2004. Beijing. China Aviation Industry Press for Journal [1]. Feng Q, Wang T, Liu F, et al. Research on multi-camera information fusion method for intelligent perception[J]. Multimedia Tools & Applications, 2017:1-24. [2]. Yuan C, Xu C, Wang T, et al. Deep multi-instance learning for end-to-end person re-identification[J]. Multimedia Tools & Applications, 2017(4):1-31. [3]. Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Caihong Yuan, Tianjiang Wang, Kui Duan:Sparse representation combined with context information for visual tracking.Neurocomputing 225: 92-102 (2017) [4]. Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Caihong Yuan, Jingjuan Guo, Zhijian Zhao, Zongmin Cui:Dual-scale structural local sparse appearance model for robust object tracking.Neurocomputing 237: 101-113 (2017) [5]. Zhiqiang Zhao, Tianjiang Wang, Fang Liu, Gwang-Min Choe, Caihong Yuan, Zongmin Cui:Remarkable local resampling based on particle filter for visual tracking. Multimedia Tools Appl. 76(1): 835-860 (2017) [6]. Yucheng Shu, Tianjiang Wang, Guangpu Shao, Chunlong Hu:Discriminative transform of receptive field patterns for feature representation.Multimedia Tools Appl. 75(13): 7495-7517 (2016) [7]. Meng Chen, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng:Modeling spatio-temporal layout with Lie Algebrized Gaussians for action recognition.Multimedia Tools Appl. 75(17): 10335-10355 (2016) [8]. Gwang-Min Choe, Caihong Yuan, Tianjiang Wang, Qi Feng, Gyong-Il Hyon, Chun-Hwa Choe, Jonghwan Ri, Gumhyok Ji: Combined salience based person re-identification. Multimedia Tools Appl. 75(18): 11447-11468 (2016) [9]. Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan: Multi-loss Regularized Deep Neural Network. IEEE Trans. Circuits Syst. Video Techn. 26(12): 2273-2283 (2016) [10].Gwang-Min Choe, Tianjiang Wang, Fang Liu, Suchol Hyon, Jong Won Ha: Particle filter with spline resampling and global transition model. IET Computer Vision 9(2): 184-197 (2015) [11].Meng Chen, Liyu Gong, Tianjiang Wang, Qi Feng: Action recognition using lie algebrized gaussians over dense local spatio-temporal features. Multimedia Tools Appl. 74(6): 2127-2142 (2015) [12].Chunlong Hu, Liyu Gong, Tianjiang Wang, Qi Feng: Effective human age estimation using a two-stage approach based on Lie Algebrized Gaussians feature. Multimedia Tools Appl.74(11): 4139-4159 (2015) [13].Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So: Visual tracking based on particle filter with spline resampling. Multimedia Tools Appl. 74(17): 7195-7220 (2015) [14].Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Manhung Jong: An advanced association of particle filtering and kernel based object tracking. Multimedia Tools Appl. 74(18): 7595-7619 (2015) [15].Gwang-Min Choe, Tianjiang Wang, Fang Liu, Gwangho Li, Hyongwang O, Songryong Kim: Moving object tracking based on geogram. Multimedia Tools Appl. 74(21): 9771-9794 (2015) [16].Xiaoyuan Yu, Jianchao Yang, Zhe L. Lin, Jiangping Wang, Tianjiang Wang, Thomas S. Huang: Subcategory-Aware Object Detection. IEEE Signal Process. Lett. 22(9): 1472-1476 (2015) [17].Chunyan Xu, Canyi Lu, Junbin Gao, Tianjiang Wang, Shuicheng Yan: Facial Analysis With a Lie Group Kernel. IEEE Trans. Circuits Syst. Video Techn. 25(7): 1140-1150 (2015) [18].Chunyan Xu, Canyi Lu, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan: Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups. IEEE Trans. Circuits Syst. Video Techn. 25(10): 1576-1585 (2015) [19].Xiaoyuan Yu, Jianchao Yang, Tianjiang Wang, Thomas S. Huang: Key Point Detection by Max Pooling for Tracking. IEEE Trans. Cybernetics 45(3): 444-452 (2015) [20].Yi Ding, Qi Feng, Tianjiang Wang, Xian Fu: A modular neural network architecture with concept. Neurocomputing 125: 3-6 (2014) [21].Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng: Robust Differential Circle Patterns based on fuzzy membership-pooling: A novel local image descriptor. Neurocomputing 144: 378-390 (2014) [22].Yong Yang, Ling Guo, Tianjiang Wang, Wenbing Tao, Guangpu Shao, Qi Feng: Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph. Image Vision Comput. 32(2): 87-106 (2014) [23].Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So, Chol-Ung Pak: Anadvanced integrated framework for moving object tracking. Journal of Zhejiang University - Science C 15(10): 861-877 (2014) [24].Chunlong Hu, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng: An effective head pose estimation approach using Lie Algebrized Gaussians based face representation. Multimedia Tools Appl.73(3): 1863-1884 (2014) [25].Xinwei Jiang, Junbin Gao, Tianjiang Wang, Daming Shi: TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. IEEE Trans. Cybernetics 44(10): 1795-1807 (2014) [26].Chunyan Xu, Tianjiang Wang, Junbin Gao, Shougang Cao, Wenbing Tao, Fang Liu: An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. IEEE Trans. Neural Netw. Learning Syst. 25(4): 728-737 (2014) [27].Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang: Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. DICTA 2014: 1-6 [28].Yi Ding, Tianjiang Wang, Xian Fu: Using Neural Networks and Self-Organizing Maps for Image Connecting. Cognitive Computation 5(1): 13-18 (2013) [29].Xiaoyuan Yu, Jiangping Wang, Roland Kays, Patrick A. Jansen, Tianjiang Wang, Thomas S. Huang: Automated identification of animal species in camera trap images. EURASIP J. Image and Video Processing 2013: 52 (2013) [30].Bingpeng Ma, Xiujuan Chai, Tianjiang Wang: A novel feature descriptor based on biologically inspired feature for head pose estimation. Neurocomputing 115: 1-10 (2013) [31].Yong Yang, Shoudong Han, Tianjiang Wang, Wenbing Tao, Xue-Cheng Tai: Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging. Pattern Recognition 46(4): 1101-1124 (2013) [32].Xinwei Jiang, Junbin Gao, Tianjiang Wang, Lihong Zheng:Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction.IEEE Trans. Systems, Man, and Cybernetics, Part B 42(6): 1620-1632 (2012) [33].Gang Chen,Tianjiang Wang,Multi-Class support vector machine active learning for music annotation, International Journal of Innovative Computing, Inforrmative & control, 2010.3: p921-930 [34].Wenbing Tao, Feng Chang, Liman Liu, Hai Jin, Tianjiang Wang: Interactively multiphase image segmentation based on variational formulation and graph cuts. Pattern Recognition 43(10): 3208-3218 (2010) [35].Shoudong Han, Wenbing Tao, Xianglin Wu, Xue-Cheng Tai, Tianjiang Wang: Fast image segmentation based on multilevel banded closed-form method. Pattern Recognition Letters 31(3): 216-225 (2010) [36].Liu Wenjun, Wang Tianjiang and Liu Fang. Multi-Agent Group Programming Based On Co-evolution. The Computer Journal, 2009. [37].Tianjiang Wang, Yongjun Zhang, Fast associated classification algorithm of medical images based on constraints, Journal of Huazhong University of Science and Technology, 2005, 33(5):49-54. (Chinese) [38].Tianjiang Wang, Fang Liu, Zhengding Lu, A Record Matching Algorithm Based on Clustering Collection, Computer Engineering and Science, 2004, 26(9):62-63. (Chinese) [39].Tianjiang Wang, Zhengding Lu, Fan Li, Bidirectional approximate reasoning based on vague set, Dynamics Of Continuous, Discrete And Impulsive Systems，2003.12 [40].Tianjiang Wang, Zhengding Lu, Finding Relevant Documents Using Hyperlink and Similarity Measure on the Web, Mini-micro Systems, 2004, 25(5). (Chinese) [41].Tianjiang Wang, Zhengding Lu, A Linear Interpolative Reasoning Approach under Multi-Dimensonal Fuzzy Rules, Computer Science, 2004, 31(6). (Chinese) [42].Tianjiang Wang, Weiguo Ye, Zhengding Lu, Yongping Li, Text classification based on integrating LSI with k-nearnest neighbor, Journal of Huazhong University of Science and Technology, 2004, 32 (4). (Chinese) [43].Tianjiang Wang, Zhengding Lu, Multicriteria Fuzzy Decision Making Method by Using Approximate Reasoning Based on Vague Set, Computer Science, 2004. 31 (5). (Chinese) [44].Tianjiang Wang, Zhengding Lu, Fan Li, Bidirectional Approximate Reasoning Based on Weighted Similarity Measures of Vague Set, Mini-micro Systems, 2004. (Chinese) [45].Tianjiang Wang, Zhengding Lu, Reasearch on Similarity Interpolative Reasoning for the Sparse Fuzzy Rule, Computer Science, 2004, 31(5). (Chinese)