Bob Zhang

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Publications

Monographs
  1. B. Zhang, Q. Zhao, and D. Zhang, Facial Multi-Characteristics and Applications, Singapore: World Scientific Publishing, 2018.
  2. D. Zhang, H. Zhang, and B. Zhang, Tongue Image Analysis, Springer, Singapore: Springer, 2017.
Journal Publications
  1. T. Shu, B. Zhang*, and Y.Y. Tang, "An Improved Noninvasive Method to Detect Diabetes Mellitus Using the Probabilistic Collaborative Representation based Classifier," Information Sciences, Accepted.
  2. J. Li, B. Zhang, G. Lu, and D. Zhang, "Generative multi-view and multi-feature learning for classification," Information Fusion, vol. 45, pp. 215-226, 2019.
  3. B. Zhang*, N. Wei, and Z. Shuping, "A Novel Color Rendition Chart for Digital Tongue Image Calibration," Color Research & Application, vol. X, pp. X-X, 2018.
  4. J. Wen, B. Zhang*, Y. Xu, J. Yang, and N. Han, "Adaptive Weighted Nonnegative Low-Rank Representation," Pattern Recognition, vol. 81, pp. 326-340, 2018.
  5. J. Li, B. Zhang, G. Lu, H. Ren, and D. Zhang, "Visual Classification with Multi-Kernel Shared Gaussian Process Latent Variable Model," IEEE Transactions on Cybernetics, vol. PP, pp. 1-14, 2018.
  6. L. Luo, J. Yang, B. Zhang, J. Jiang, and H. Huang, "Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification," IEEE Transactions on Neural Networks and Learning Systems, vol. PP, pp. 1-15, 2018.
  7. S. Zeng, B. Zhang*, Y. Lan, and J. Gou, "Robust collaborative representation-based classification via regularization of truncated total least squares," Neural Computing and Applications, pp. 1-9, XX/2018.
  8. J. Li, B. Zhang, and D. Zhang, "Joint discriminative and collaborative representation for fatty liver disease diagnosis," Expert Systems with Applications, vol. 89, pp. 31-40, 2017.
  9. T. Shu, B. Zhang*, and Y.Y. Tang, "Novel Noninvasive Brain Disease Detection System Using a Facial Image Sensor," Sensors, vol. 17, no. 12, 2843, 2017.
  10. S. Zeng, B. Zhang*, and Y. Du, "Joint distances by sparse representation and locality-constrained dictionary learning for robust leaf recognition," Computers and Electronics in Agriculture, vol. 142, pp. 563-571, 2017.
  11. J.X. Li, B. Zhang, and D. Zhang, "Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification," IEEE Transactions on Neural Networks and Learning Systems, vol. PP, pp. 1-15, 2017.
  12. K. Zhang, D. Huang, B. Zhang, and D Zhang, "Improving texture analysis performance in biometrics by adjusting image sharpness," Pattern Recognition, vol. 66, pp. 16-25, 2017.
  13. W. Yan, B. Zhang*, S. Ma, and Z. Yang, "A novel regularized concept factorization for document clustering," Knowledge-Based Systems, vol. 135, pp. 147-158, 2017.
  14. X. Chen, Z. Wei, Z. Li, J. Liang, Y. Cai, and B. Zhang, "Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation," Knowledge-Based Systems, vol. 132, pp. 249-262, 2017.
  15. B. Zhang*, X. Xiao, and G. Lu, "Facial beauty analysis based on features prediction and beautification models," Pattern Analysis and Applications, vol. 21, no. 2, pp. 529-542, 2018.
  16. T. Shu, B. Zhang*, and Y.Y. Tang, "Effective Heart Disease Detection Based on Quantitative Computerized Traditional Chinese Medicine Using Representation Based Classifiers," Evidence-Based Complementary and Alternative Medicine, vol. 2017, Article ID 7483639, 2017.
  17. W. Jia, B. Zhang*, J. Lu, Y. Zhu, Y. Zhao, W. Zuo, and H. Ling, "Palmprint Recognition Based on Complete Direction Representation," IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4483-4498, 2017.
  18. Z. Zhong, B. Zhang, G. Lu, Y. Zhao, and Y. Xu, "An Adaptive Background Modeling Method for Foreground Segmentation," IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 5, pp. 1109-1121, 2017.
  19. T. Shu, B. Zhang*, and Y.Y. Tang, "An extensive analysis of various texture feature extractors to detect Diabetes Mellitus using facial specific regions," Computers in Biology and Medicine, vol. 83, pp. 69-83, 2017.
  20. Y. Xu, Z. Li, B. Zhang, J. Yang, and J. You, "Sample diversity, representation effectiveness and robust dictionary learning for face recognition," Information Sciences, vol. 375, pp. 171-182, 2017.
  21. Y.T. Luo, L.Y. Zhao, B. Zhang, W. Jia, F. Xue, J.T. Lu, Y.H. Zhu, and B.Q. Xu, "Local line directional pattern for palmprint recognition," Pattern Recognition, vol. 50, pp. 26-44, 2016.
  22. L.K. Fei, B. Zhang, Y. Xu, and L.P. Yan, "Palmprint Recognition Using Neighboring Direction Indicator," IEEE Transactions on Human-Machine Systems, vol. 46, no. 6, pp. 787-798, 2016.
  23. L. Luo, L. Chen, J. Yang, J. Qian, and B. Zhang, "Tree-Structured Nuclear Norm Approximation with Applications to Robust Face Recognition," IEEE Transactions on Image Processing, vol. 25, no. 12, pp. 5757-5767, 2016.
  24. Y. Liu, B. Zhang, G. Lu, and D. Zhang, "Online 3D Ear Recognition by Combining Global and Local Features," PLoS ONE, vol. 11, no. 12, e0166204, 2016.
  25. L.K. Fei, Y. Xu, B. Zhang, X. Fang, and J. Wen, "Low-rank representation integrated with principal line distance for contactless palmprint recognition," Neurocomputing, vol. 218, pp. 264-275, 2016.
  26. Y. Xu, B. Zhang, and Z.F. Zhong, "Multiple Representations and Sparse Representation for Image Classification," Pattern Recognition Letters, vol. 68, pp. 9-14, 2015.
  27. T. Shu, and B. Zhang*, "Non-invasive Health Status Detection System Using Gabor Filters Based on Facial Block Texture Features," Journal of Medical Systems, vol. 39, no. 4, pp. 1-8, 2015.
  28. Y. Liu, B. Zhang, and D. Zhang, "Ear-Parotic Face angle: A unique feature for 3D ear recognition," Pattern Recognition Letters, vol. 53, pp. 9-15, 2015.
  29. B. Zhang*, and H. Zhang, "Significant Geometry Features in Tongue Image Analysis," Evidence-Based Complementary and Alternative Medicine, vol. 2015, Article ID 897580, 2015.
  30. B. Zhang*, B.V.K. Vijaya Kumar, and D. Zhang, "Noninvasive Diabetes Mellitus Detection using Facial Block Color with a Sparse Representation Classifier," IEEE Transactions on Biomedical Engineering, vol. 61, no. 4, pp. 1027-1033, 2014.
  31. B. Zhang*, B.V.K. Vijaya Kumar, and D. Zhang, "Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy using Tongue Color, Texture, and Geometry Features," IEEE Transactions on Biomedical Engineering, vol. 61, no. 2, pp. 491-501, 2014.
  32. X. Wang, B. Zhang, Z. Yang, H. Wang, and D. Zhang, "Statistical Analysis of Tongue Images for Feature Extraction and Diagnostics," IEEE Transactions on Image Processing, vol. 22, no. 12, pp. 5336-5347, 2013.
  33. B. Zhang*, X. Wang, J. You, and D. Zhang, "Tongue Color Analysis for Medical Application," Evidence-Based Complementary and Alternative Medicine, vol. 2013, Article ID 264742, 11 pages, 2013.
  34. X. Wang, B. Zhang, Z. Guo, and D. Zhang, "Facial Image Medical Analysis System Using Quantitative Chromatic Feature," Expert Systems With Applications, vol. 40, no. 9, pp. 3738-3746, 2013.
  35. B. Zhang, X. Wang, F. Karray, Z. Yang, and D. Zhang, "Computerized Facial Diagnosis using both Color and Texture Features," Information Sciences, vol. 221, pp. 49-59, 2013.
  36. B. Zhang, W. Li, P. Qing, and D. Zhang, "Palm-Print Classification by Global Features," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 43, no. 2, pp. 370-378, 2013.
  37. B. Zhang*, J. You, and F. Karray, "Detecting Optic Disc on Asians by Multi-scale Gaussian Filtering," International Journal of Biomedical Imaging, vol. 2012, Article ID 727154, 10 pages, 2012.
  38. W. Li, B. Zhang, L. Zhang, and J. Yan, "Principal Line-Based Alignment Refinement for Palmprint Recognition," IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 42, no. 6, pp. 1491-1499, 2012.
  39. B. Zhang*, F. Karray, Q. Li, and L. Zhang, "Sparse Representation Classifier for Microaneurysm Detection and Retinal Blood Vessel Extraction," Information Sciences, vol. 200, pp. 78-90, 2012.
  40. B. Zhang, L. Zhang, L. Zhang, and F. Karray, "Retinal Vessel Extraction by Matched Filter with First-Order Derivative of Gaussian," Computers in Biology and Medicine, vol. 40, no. 4, pp. 438-445, 2010.
  41. B. Zhang, X.Q. Wu, J. You, Q. Li, and F. Karray, "Detection of Microaneurysms using Multi-scale Correlation Coefficients," Pattern Recognition, vol. 43, no. 6, pp. 2237-2248, 2010.
Refereed Conference Publications
  1. W. Nie, B. Zhang, and S. Zhao, "A Novel Hyperspectral Based Dorsal Hand Recognition System," Proceedings: 2019 11th International Conference on Machine Learning and Computing (ICMLC 2019), Zhuhai, Guangdong, China, February 22-24, 2019.
  2. S. Zhao, W. Nie, and B. Zhang, "Multi-Feature Fusion using Collaborative Residual for Hyperspectral Palmprint Recognition," Proceedings: 2018 4th IEEE International Conference on Computer and Communications (ICCC), Chengdu, Sichuan, China, December 7-10, 2018.
  3. S. Zeng, B. Zhang, Y. Zhang, and J. Gou, "Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification," Proceedings: 10th Asian Conference on Machine Learning (ACML 2018), Beijing, China, November 14-16, 2018.
  4. J. Li, B. Zhang, G. Lu, and D. Zhang, "Shared Linear Encoder-based Gaussian Process Latent Variable Model for Visual Classification," Proceedings: 26th ACM International Conference on Multimedia, Seoul, Republic of Korea, October 22-26, 2018.
  5. Y. Lu, G. Lu, Y. Xu, and B. Zhang, "AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks," Proceedings: 27th International Joint Conference on Artificial Intelligence, Stockholm, Sweden, July 13-19, 2018 (oral).
  6. L. Zhang, and B. Zhang, "Non-Invasive Multi-Disease Classification Via Facial Image Analysis Using A Convolutional Neural Network," Proceedings: 15th International Conference of Wavelet Analysis and Pattern Recognition, Chengdu, China, July 15-18, 2018 (oral).
  7. T. Shu, B. Zhang, and Y.Y. Tang, "Computer-assisted Non-invasive Diabetes Mellitus Detection System via Facial Key Block Analysis," Proceedings: 15th International Conference of Wavelet Analysis and Pattern Recognition, Chengdu, China, July 15-18, 2018 (oral). Lotfi Zadeh Best Paper Award
  8. J. Li, H. Yong, B. Zhang, M. Li, L. Zhang, and D. Zhang, "A Probabilistic Hierarchical Model for Multi-view and Multi-feature Classification," Proceedings: Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018 (oral).
  9. W. Yan, B. Zhang, and S. Ma, "Robust semi-supervised concept factorization," Proceedings: 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, USA, May 14-19, 2017 (poster).
  10. Q. Zhao, D. Zhang, and B. Zhang, "Digital tongue image analysis in medical applications using a new tongue ColorChecker," Proceedings: 2016 2nd IEEE International Conference on Computer and Communications (ICCC), Chengdu, Sichuan, China, Oct. 14-17, 2016.
  11. P. Zhang, and B. Zhang, "A Study of Diabetes Mellitus Detection Using Sparse Representation Algorithms with Facial Block Color Features," Proceedings: 2016 IEEE International Conference on Signal and Image Processing, Beijing, China, August 13-15, 2016 (oral).
  12. T. Shu, B. Zhang, and Y.Y. Tang, "Using k-NN with Weights to Detect Diabetes Mellitus Based on Genetic Algorithm Feature Selection," Proceedings: 13th International Conference of Wavelet Analysis and Pattern Recognition, Jeju Island, South Korea, July 10-13, 2016. (oral)
  13. T. Shu, and B. Zhang, "Facial Color Analysis of Overweight-Obesity and its Relationship to Healthy and Diabetes Mellitus Using Statistical Pattern Recognition," Proceedings: IEEE TENCON 2015, Macau, Nov. 1-4, 2015. (oral)
  14. T. Shu, B. Zhang, and Y.Y. Tang, "Simplified and Improved Patch Ordering for Diabetes Mellitus Detection," Proceedings: 2nd IEEE International Conference on Cybernetics, Gdynia, Poland, Jun. 24-26, 2015. (oral)
  15. S. Ting, and B. Zhang, "Diabetes Mellitus Detection Based on Facial Block Texture Features Using the Gabor Filter," Proceedings: The 17th International Conference on Computational Science and Engineering, pp. 1-6, Chengdu, China, Dec. 19-21, 2014. (oral)
  16. H. Zhang, and B. Zhang, "Disease Detection Using Tongue Geometry Features with Sparse Representation Classifier," Proceedings: 2014 International Conference on Medical Biometrics, pp. 102-107, Shenzhen, China, May 31-Jun. 1, 2014. (oral)
  17. B. Zhang, L. Zhang, J. You, and F. Karray, "Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and Non-MA Dictionary Learning," Proceedings: International Conference on Pattern Recognition, Istanbul, Turkey, Aug. 23-26, 2010. (oral)
  18. B. Zhang, Q. Li, L. Zhang, J. You, and F. Karray, "Retinal Vessel Centerline Extraction Using Multiscale Matched Filter and Sparse Representation-based Classifier," Proceedings: International Conference on Medical Biometrics, pp. 181-190, Hong Kong, China, Jun. 28-30, 2010. (poster)
  19. B. Zhang, and F. Karray, "Optic Disc Detection by Multi-scale Gaussian Filtering with Scale Production and a Vessels' Directional Matched Filter," Proceedings: International Conference on Medical Biometrics, pp. 173-180, Hong Kong, China, Jun. 28-30, 2010. (poster)
  20. B. Zhang, and F. Karray, "Optic Disc and Fovea Detection via Multi-scale Matched Filters and a Vessels' Directional Matched Filter," Proceedings: International Conference on Autonomous and Intelligent Systems, pp. 1-5, Povoa de Varzim, Portugal, Jun. 21-23, 2010. (oral)
  21. B. Zhang, X.Q. Wu, J. You, Q. Li, and F. Karray, "Hierarchical Detection of Red Lesions in Retinal Images by Multiscale Correlation Filtering," Proceedings: SPIE Medical Imaging 2009: Computer-Aided Diagnosis, vol. 7260, 72601L, Orlando, Florida, USA, Feb. 7-12, 2009. (oral)
Book Chapters
  1. Y. Wei, and B. Zhang, "Robust Constrained Concept Factorization," in Computational Intelligence for Pattern Recognition, W. Pedrycz, and S.Y. Chen, Eds., Springer International Publishing, 2018, pp. 207-225.
  2. B. Zhang, "Tongue Pattern Recognition to Detect Diabetes Mellitus and Non-Proliferative Diabetic Retinopathy," in Pattern Recognition and Big Data, A. Pal, and S.K. Pal, Eds., Singapore: World Scientific Publishing, 2017, pp. 663-686.
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