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Last Update: 12/10/2024

Publications

    Edited Books and Proceedings

  1. J. Tang, S. Agaian, and J. Tan, eds., Electronic imaging applications in mobile healthcare. Bellingham, WA, USA: SPIE Press, 2016.

  2. J. Tang, S. Again, eds., Computer-Aided Cancer Detection and Diagnosis: Recent Advances. Bellingham, WA: SPIE Press, 2014.

  3. Hamid R. Arabnia, Jinshan Tang, etc.(eds.) Proceeding of The 2001 International conference on Artificial Intelligence, Las Vegas, Nevada, USA, June 25-28, 2001, CSREA Press, USA.

  4. Vikrant Bhateja, Jinshan Tang, Suresh Chandra Satapathy, Peter Peer, Ranjita Das, eds. Evolution in Computational Intelligence (sub-title: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications), 2022, Series ISSN2190-3018, Publisher, Springer Singapore.

  5. Suresh Chandra Satapathy, Peter Peer, Jinshan Tang, Vikrant Bhateja, Anumoy Ghosh, Intelligent Data Engineering and Analytics ( Book Subtitle: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021), Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 266),2022, ISBN 978-981-16-6623-0, Publisher, Springer Singapore.

  6. Vikrant Bhateja, Jinshan Tang, Suresh Chandra Satapathy, Peter Peer, Ranjita Das, eds. Evolution in Computational Intelligence (sub-title: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications), 2022, Series ISSN2190-3018, Publisher, Springer Singapore.

  7. Suresh Chandra Satapathy, Peter Peer, Jinshan Tang, Vikrant Bhateja, Anumoy Ghosh, Intelligent Data Engineering and Analytics (Book Subtitle: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021), Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 266), 2022, ISBN 978-981-16-6623-0, Publisher, Springer Singapore.

  8. Vikrant Bhateja, Jinshan Tang, Dilip Kumar Sharma, Zdzislaw Polkowski, Afaq Ahmad, Information System Design: Communication Networks and IoT (Book subtitle: Proceedings of Eighth International Conference on Information System Design and Intelligent Applications (ISDIA 2024), volume 2), Oct 2024, ISBN 978-981-97-4894-5, Publisher, Springer Singapore.

  9. Vikrant Bhateja, Hong Lin, Milan Simic, Jinshan Tang, Vustikayala Sivakumar Reddy, Big Data Analytics and Data Science (Book subtitle: Proceedings of Eighth International Conference on Information System Design and Intelligent Applications (ISDIA 2024), Volume 3), Publisher, Springer Singapore.

  10. Vikrant Bhateja, Jinshan Tang, Zdzislaw Polkowski, Milan Simic, V. V. S. S. S Chakravarthy, Information System Design: AI and ML applications (Book subtitle: Proceedings of Eighth International Conference on Information System Design and Intelligent Applications (ISDIA 2024), volume 4), Oct 2024, ISBN 978-981-97-6580-5, Publisher, Springer Singapore.

    11. Book Chapters

  11. Jinshan Tang and Shengwen Guo, "Segmentation of Skin Cancer Using External Force Filter in Snake Based on Wavelet Diffusion", Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies, Volume 1, Springer, 2011,Edited by El-Baz, Acharya, Mirmehdi and Suri.

  12. Jinshan Tang and Xioaming Liu, "Classification of Mass in Mammography with Improved Level Set Segmentation and Support Vector Machine", Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies, Springer, 2011, Edited by A El-Baz et al.

  13. J. Tang, S. Kawato, and J. Ohya, "A wavelet transform based face recognition system and its applications", in Wavelet analysis and Applications, AMS/IP Studies in Advanced Mathematics, pp. 245-256, American Mathematical Society, vol.25, 2002.

    Journal Papers

  14. Zhengshi Chen, Xiaoming Liu, Juanjuan He, Jinshan Tang, "MDCT-Unet: A dual-encoder network combining multi-scale dilated convolutions with Transformer for medical image", Computer Methods and Programs in Biomedicine, Submitted.

  15. Jia Zhang, Xiaoming Liu, Jinshan Tang, "Weakly Supervised Segmentation of Retinal Layers on OCT Images with AMD using Uncertainty Prototype and Boundary Regression", Submitted to Medical Image Analysis, Submitted.

  16. Mostafa Rezaeitaleshmahalleh, Zonghan Lyu, Nan Mu, Varatharajan Nainamalai, Jinshan Tang, Joseph J. Gemmete, Aditya S. Pandey, Jinfeng Jiang, "Improving Prediction of Intracranial Aneurysm Rupture Status Using Temporal Velocity Informatics", Frontiers in Bioengineering and Biotechnology, section Biomechanics, Submitted.

  17. Teng Wang, Jun Liu, Jinshan Tang, "CSAU-Net: A Cross-scale Attention-guided U-Net for Breast Ultrasound Image Segmentation", Journal of Imaging Informatics in Medicine, In Revision.

  18. Mengqian Ding, Jun Liu, Yang Luo, Jinshan Tang, "De-occluded Instance Segmentation Method for Caenorhabditis elegans", Applied Soft Computing, In Revision.

  19. Ye Jin, Jinshan Tang, "Federated Learning for Image-based Cancer Detection and Diagnosis: A Systematic Review", International Journal of Imaging Systems and Technology, In Revision.

  20. Zijian Wang, Xiaofei An, Ling Wang, Jinshan Tang, "Optimizing Maize Cultivation: A Vision-Based AI-Driven Methodology for Automated Seedling Thinning", IEEE Transactions on Agrifood Electronics, In Revision.

  21. Xiaoming Liu, Xiao Li, Ying Zhang, Man Wang, Junping Yao, Jinshan Tang, "Boundary-repairing Dual-path Network for Retinal Layer Segmentation in OCT Image with Pigment Epithelial Detachment", Journal of Imaging Informatics in Medicine, In Press, 2024.

  22. Zhengwei Ren, Xiaojuan Li, Lina Wang, Shiwei Xu, Yan Tong, Jinshan Tang, "In-situ Key Update of Encrypted Outsourced Data with Minimal Cost", The Journal of Supercomputing, vol. 81, 225, 2025.

  23. Siqi Zhou, Ling Wang, Jie Liu, Jinshan Tang, "An EnKF-LSTM Assimilation Algorithm for Crop Growth Model", IEEE Transactions on Agrifood Electronics, vol. 2, no. 2, pp. 372-380, Sept.-Oct. 2024.

  24. Mengqian Ding, Jun Liu, Zikang Zhao, Yang Luo, Jinshan Tang, "WSM-MIL: A Weakly Supervised Segmentation Method with Multiple Instances Learning for Caenorhabditis elegans Images", Physica Scripta, vol. 99, no. 6, 2024.

  25. Weidong Wang, Hongme Zhang, Yizhen Li, Yi Wang, Qingfeng Zhang, Geqi Ding, Lixue Yin, Jinshan Tang, Bo Peng, "An Automated Heart Shunt Recognition Pipeline Using Deep Neural Networks", Journal of Imaging Informatics in Medicine, 37, 1424–1439, 2024.

  26. Xiaoming Liu, Yuanzhe Ding, Ying Zhang, Jinshan Tang, "Multi-Scale Local-Global Transformer with Contrastive Learning for Biomarkers Segmentation in Retinal OCT Images", Biocybernetics and Biomedical Engineering, pp. 231-246, no. 1, vol. 14, 2024.

  27. Xiaoming Liu, Xiangkai Wei, Aihui Yu, Zhifang Pan, Jinshan Tang, "Attention-based Cross-Domain Synthesis and Segmentation from Unpaired Medical Images", IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 1, pp. 917-929, Feb. 2024.

  28. Chenqian Li, Jun Liu, Jinshan Tang, "Simultaneous Segmentation and Classification of Colon Cancer Polyp Images Using a Dual Branch Multi-Task Learning Network", Mathematical Biosciences and Engineering, vol. 21, no. 2, 2024.

  29. Xiaoyong Bian, Zufang Yang, Chengsong Hu, Min Peng, Jinshan Tang, "Location-aware Multi-code Generator for Remote Sensing Scene Classification", International Journal of Remote Sensing, vol. 45:8, pp. 2519-2547, 2024, DOI: 10.1080/01431161.2024.2334773.

  30. Junsheng Li, Ling Wang, Jie Liu, Jinshan Tang, "ViST: A Ubiquitous Model with Multimodal Fusion for Crop Growth Prediction", ACM Transaction on Network Sensors, vol. 20, no. 1, Article No. 23, pp. 1–23, 2024. DOI: 10.1145/3627707.

  31. Xiaoming Liu, Jingling Pan, Xiao Li, Ying Zhang, Junping Yao, Jinshan Tang, "Semi-supervised Contrast Learning-Based Segmentation of Choroidal Vessel in Optical Coherence Tomography Images", Physics in Medicine and Biology, vol. 68, no. 24, 2023.

  32. Chen Zhao, Joyce Keyak, Jinshan Tang, et al., "A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images", Complex & Intelligent Systems, vol. 9, no. 3, pp. 2747–2758, 2023.

  33. Xiaoming Liu, Di Zhang, Junping Yao, Jinshan Tang, "Transformer and Convolutional Based Dual Branch Network for Retinal Vessel Segmentation in OCTA Images", Biomedical Signal Processing and Control, vol. 83, 104604, May 2023.

  34. Mu N, Rezaeitaleshmahalleh M, Lyu Z, Wang M, Tang J, Strother CM, Gemmete JJ, Pandey A, Jiang JN, "Can We Explain Machine Learning-Based Prediction for Rupture Status Assessments of Intracranial Aneurysms?", Biomed Phys Eng Express, vol. 9, no. 3, March 2023.

  35. Meng Y, Du Z, Zhao C, Dong M, Pienta D, Tang J, Zhou W, "Automatic Extraction of Coronary Arteries Using Deep Learning in Invasive Coronary Angiograms", Technol Health Care, vol. 31(6):2303-2317, 2023. DOI: 10.3233/THC-230278. PMID: 37545276.

  36. Nan Mu, Zonghan Lyu, Mostafa Rezaeitaleshmahalleh, Jinshan Tang, and Jingfeng Jiang, "An Attention Residual U-Net with Differential Preprocessing and Geometric Postprocessing: Learning How to Segment Intracranial Aneurysms", Medical Image Analysis, vol. 84, 102697, February 2023.

  37. Nan Mu, Jinjia Guo, Xiaotong Huang, Jinshan Tang, "Learning How to Detect Salient Objects in Nighttime Scenes", Journal of Scientific & Industrial Research, vol. 82, February 2023, pp. 192-201.

  38. Xiaoming Liu, Qi Liu, Ying Zhang, Man Wang, Jinshan Tang, "TSSK-Net: Weakly Supervised Biomarker Localization and Segmentation with Image-level Annotation in Retinal OCT Images", Computers in Biology and Medicine, vol. 153, 106467, February 2023.

  39. Xiaoming Liu, Zhipeng Liu, Ying Zhang, Man Wang, Jinshan Tang, "Weakly-supervised localization and classification of biomarkers in OCT images with integrated reconstruction and attention", Biomedical Signal Processing and Control, vol. 79, Part 2, 104213, Jan. 2023. DOI: 10.1016/j.bspc.2022.104213.

  40. Yao Song, Jun Liu, Yanhao Yin, Jinshan Tang, "Estimation of Caenorhabditis elegans Lifespan Stages Using a Dual-Path Network by Combining Biomarkers and Physiological Changes from Imaging", Bioengineering, 2022; 9(11):689. DOI: 10.3390/bioengineering9110689.

  41. Xuan Hua, Jungang Han, Chen Zhao, Haipeng Tang, Zhuo He, Qing-Hui Chen, Shaojie Tang, Weihua Zhou, Jinshan Tang, "A Novel Method for ECG Signal Classification via One-Dimensional Convolutional Neural Network", Multimedia Systems, vol. 28, pp. 1387–1399, 2022.

  42. Yao Song, Jun Liu, Xinghua Liu, Jinshan Tang, "COVID-19 Infection Segmentation and Severity Assessment Using a Self-Supervised Learning Approach", Diagnostics, vol. 12, no. 8, 1805, 2022. DOI: 10.3390/diagnostics120818052022.

  43. Chaonan Chen, Kai Zhang, Jinshan Tang, "A COVID-19 Detection Algorithm Using Deep Features and Discrete Social Learning Particle Swarm Optimization for Edge Computing Device", ACM Transaction on Internet Technology, vol. 22, no. 3, 2022. DOI: 10.1145/3453170.

  44. Chen Zhao, Robert Bober, Haipeng Tang, Jinshan Tang, Minghao Dong, Chaoyang Zhang, Zhuo He, Michele L. Esposito, Zhihui Xu, Weihua Zhou, "Semantic Segmentation to Extract Coronary Arteries in Invasive Coronary Angiograms", Journal of Advances in Applied & Computational Mathematics, vol. 9, pp. 76-85, 2022.

  45. Taomin Mao, Yewen Fan, Shuang Zhi, Jinshan Tang, "A Morphological Feature-oriented Algorithm for Extracting Impervious Surface Areas Obscured by Vegetation in Collaboration with OSM Road Networks in Urban Areas", Remote Sensing, vol. 14(10), 2493, 2022.

  46. X. Liu, Q. Yuan, Y. Gao, S. Wang, X. Tang, J. Tang, D. Shen, "Weakly Supervised Segmentation of COVID-19 Infection with Scribble Annotation on CT Images", Pattern Recognition, vol. 122, 108341, February 2022.

  47. Juanjuan He, Qi Zhu, Kai Zhang, Piaoyao Yu, Jinshan Tang, "An Evolvable Adversarial Network with Gradient Penalty for COVID-19 Infection Segmentation", Applied Soft Computing, vol. 113, Part B, 107947, December 2021.

  48. Nan Mu, Hongyu Wang, Yu Zhang, Heng Yang, Jinshan Tang, "Progressive Global Perception and Local Polishing Network for Lung Infection Segmentation of COVID-19 CT Images", Pattern Recognition, vol. 120, 108168, December 2021.

  49. Chen Zhao, Yan Xu, Zhuo He, Jinshan Tang, Yijun Zhang, Jungang Han, Yuxin Shi, Weihua Zhou, "A New Approach for Lung Segmentation and Automatic Detection of COVID-19 Using Radiomic Features from Chest CT Images", Pattern Recognition, vol. 119, 108071, November 2021.

  50. F. Zhu, Z. Gao, C. Zhao, Z. Zhu, J. Tang, Y. Liu, S. Tang, C. Jiang, X. Li, M. Zhao, W. Zhou, "Semantic Segmentation Using Deep Learning to Extract Total Extraocular Muscles and Optic Nerve from Orbital Computed Tomography Images", Optik, vol. 244, 167551, October 2021.

  51. Chen Zhao, Aviral Vij, Saurabh Malhotra, Jinshan Tang, Haipeng Tang, Drew Pienta, Zhihui Xu, Weihua Zhou, "Automatic Extraction and Stenosis Evaluation of Coronary Arteries in Invasive Coronary Angiograms", Computers in Biology and Medicine, vol. 136, 104667, September 2021.

  52. Xiaoming Liu, Zhengsheng Guo, Jun Cao, Jinshan Tang, "MDC-Net: A New Convolutional Neural Network for Nucleus Segmentation in Histopathology Images with Distance Maps and Contour Information", Computers in Biology and Medicine, vol. 135, 104543, August 2021.

  53. Xiaoming Liu, Aihui Yu, Xiangkai Wei, Zhifang Pan, Jinshan Tang, "Multimodal MR Image Synthesis Using Gradient Prior and Adversarial Learning", IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 6, pp. 1176–1188, October 2020.

  54. Zilong Hu, Jinshan Tang, Ping Zhang, Jingfeng Jiang, "Deep Learning for the Identification of Bruised Apples by Fusing 3D Deep Features for Apple Grading Systems", Mechanical System and Signal Processing, vol. 145, 106922, November–December 2020.

  55. Zilong Hu, Jinshan Tang, Ziming Wang, Kai Zhang, Ling Zhang, Qingling Sun, "Deep Learning for Image-based Cancer Detection and Diagnosis — A Survey", Pattern Recognition, vol. 83, pp. 134-149, November 2018.

  56. Zilong Hu, Jinshan Tang, Ping Zhang, Babu Patlolla, "Identification of Bruised Apples Using a 3-D Multi-order Local Binary Patterns Based Feature Extraction Algorithm", IEEE Access, vol. 6, pp. 34846–34862, 2018.

  57. Peng T, Qiao M, Liu H, Teotia S, Zhang Z, Zhao Y, Wang B, Zhao D, Shi L, Zhang C, Le B, Rogers K, Gunasekara C, Duan H, Gu Y, Tian L, Nie J, Qi J, Meng F, Huang L, Chen Q, Wang Z, Tang J, Tang X, Wei H, Chen X, Zhao Q, Tang G, "A Resource for Inactivation of microRNAs Using Short Tandem Target Mimic Technology in Model and Crop Plants", Molecular Plant, vol. 11(11): 1400-1417, 2018.

  58. A. Sha, Y. Qi, Z. Shan, H. Chen, Z. Yang, D. Qiu, X. Zhou, Y. Chen, J. Tang, "Identifying Patellin-like Genes in Glycine max and Elucidating Their Response to Phosphorus Starvation", Acta Physiol Plant, vol. 38, no. 138, pp. 1-8, 2016.

  59. J. Hu, X. Zhang, X. Liu, J. Tang, "Prediction of hot regions in protein–protein interaction by combining density-based incremental clustering with feature-based classification", Computers in Biology and Medicine, vol. 61, pp. 127-137, 2015.

  60. X. Liu, J. Tang, "Mass Classification in Mammograms Using Selected Geometry and Texture Features and a New SVM-Based Feature Selection Method", IEEE Systems Journal, vol. 8, no. 3, pp. 910–920, 2014.

  61. X. Xu, Y. Wang, X. Zhang, S. Li, X. Liu, X. Wang, J. Tang, "A comparison of contrast measurements in passive autofocus systems for low contrast images", Multimedia Tools and Applications, vol. 69, no. 1, pp. 139-156, 2014.

  62. X. Xu, J. Tang, X. Zhang, X. Liu, H. Zhang, Y. Qiu, "Exploring techniques for vision based human activity recognition: methods, systems, and evaluation", Sensors, vol. 13, no. 2, pp. 1635-1650, 2013.

  63. H. Zhou, H. Hu, H. Liu, J. Tang, "Classification of upper limb motion trajectories using shape features", IEEE Transactions on System, Man, and Cybernetics, part C, vol. 42, no. 6, pp. 970-982, 2012.

  64. J. Tang, X. Liu, H. Cheng, K. M. Robinette, "Gender recognition using 3-D human body shapes", IEEE Transactions on System, Man, and Cybernetics, part C, vol. 41, no. 6, pp. 898-908, 2011.

  65. X. Liu, J. Liu, X. Xu, L. Chun, J. Tang, Y. Deng, "A robust detail preserving anisotropic diffusion for speckle reduction in ultrasound images", BMC Genomics, vol. 12, Suppl 5, S14, 2011.

  66. J. Liu, J. Chen, X. Liu, L. Chun, J. Tang, Y. Deng, "Mass segmentation using a combined method for cancer detection", BMC Systems Biology, vol. 5, suppl 3, S6, 2011.

  67. X. Xu, Y. Wang, J. Tang, X. Zhang, X. Liu, "Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure", Sensors, vol. 11, no. 9, pp. 8281-8294, 2011.

  68. J. Tang, S. Guo, Q. Sun, Y. Deng, D. Zhou, "Speckle reducing bilateral filter for cattle follicle segmentation", BMC Genomics, vol. 11, suppl 2, S9, 2010.

  69. X. Zhang, T. Wang, H. Luo, J. Yang, Y. Deng, J. Tang, M. Yang, "3D Protein structure prediction with genetic tabu search algorithm", BMC System Biology, vol. 4, suppl 1, S6, 2010.

  70. S. Guo, J. Tang, Y. Deng, Q. Xia, "An Improved Approach for the Segmentation of Starch Granules in Microscopic Images", BMC Genomics, vol. 11, suppl. 2, S13, 2010.

  71. J. Tang, R. Rangayyan, Y. Yang, I. El Naqa, J. Xu, "Computer Aided Breast Cancer Detection and Diagnosis Using Mammography: Recent Advance", IEEE Transactions on Information Technology in Biomedicine (renamed to IEEE Journal of Biomedical and Health Informatics), vol. 13, no. 2, pp. 236–251, 2009.

  72. J. Tang, "A Multi-direction GVF Snake for the Segmentation of Skin Cancer Images", Pattern Recognition, vol. 42, no. 6, pp. 1172–1179, 2009.

  73. J. Tang, X. Liu, Q. Sun, "A direct image contrast enhancement algorithm based on wavelet transform for screening mammograms", IEEE Journal of Selected Topics in Signal Processing, vol. 3, no. 1, pp. 74–80, 2009.

  74. J. Xu, J. Tang, "Detection of Clustered Microcalcifications Using an Improved Texture Based Approach for Computer Aided Breast Cancer Diagnosis System", CSI Communications, vol. 31, no. 10, pp. 17-20, 2008.

  75. J. Xu, Y. Cao, Y. Sun, J. Tang, "Absolute Exponential Stability of Recurrent Neural Networks with Generalized Activation Function", IEEE Transactions on Neural Network (renamed to IEEE Transactions on Neural Networks and Learning Systems), vol. 19, no. 6, pp. 1075-1089, 2008.

  76. S. Millington, B. Li, J. Tang, S. Trattnig, J. Crandall, S. Hurwitz, S. T. Acton, "Quantitative and topographical evaluation of ankle articular cartilage using high resolution MRI", Journal of Orthopedic Research, vol. 25, no. 2, pp. 143-151, 2007.

  77. J. Tang, G. Choy, P. Choyke, "Dynamic contrast-enhanced magnetic resonance imaging in the assessment of early response to tumor necrosis factor alpha in a colon carcinoma model", Investigative Radiology, vol. 41, no. 9, pp. 691-696, 2006.

  78. S. Avula, J. Tang, S. T. Acton, "An object-based image retrieval system for digital libraries", Multimedia Systems Journal, vol. 11, vol. 3, pp. 260-270, 2006.

  79. J. Tang, S. Millington, S. T. Acton, J. Crandall, S. Hurwitz, "Surface Extraction and Thickness measurement of the articular Cartilage from MR images using Directional Gradient Vector Flow Snake", IEEE Transactions on Biomedical Engineering, vol. 52, no. 5, pp. 896-907, 2006.

  80. A. Goobic, J. Tang, S. T. Acton, "Image stabilization and registration for tracking cells in microvasculature", IEEE Transactions on Biomedical Engineering, vol. 52, no. 2, pp. 287-299, 2005.

  81. Q. Sun, J. A. Hossack, J. Tang, S. T. Acton, "Speckle reducing Anisotropic Diffusion for 3D Ultrasound images", Computerized Medical Imaging and Graphics, vol. 28, pp. 461-470, 2004.

  82. J. Tang, S. T. Acton, "Vessel Boundary Tracking for Intravital Microscopy Via Multi-scale Gradient Vector Flow Snakes", IEEE Transactions on Biomedical Engineering, vol. 51, no. 2, pp. 316-324, 2004.

  83. J. Tang, J. Kim, E. Peli, "Image Enhancement in the JPEG Domain for People with Vision Impairment", IEEE Transactions on Biomedical Engineering, vol. 51, no. 11, pp. 2013-2023, 2004.

  84. J. Tang, "A Contrast Based Image Fusion Scheme in the DCT domain", Digital Signal Processing, vol. 14, no. 3, pp. 218-226, 2004.

  85. J. Tang, S. Avula, S. T. Acton, "DIRECT: A Decentralized Image Retrieval System for National STEM Digital Library", Information Technology and Libraries, vol. 23, no. 1, pp. 9-15, 2004.

  86. J. Tang, E. Peli, S. T. Acton, "Image Enhancement Using A Contrast Measure in the Compressed Domain", IEEE Signal Processing Letters, vol. 10, no. 10, pp. 289-292, 2003.

  87. J. Tang, S. T. Acton, "Locating Human Face in a Complex Background Including Non-face Skin colors", Journal of Electronic Imaging, vol. 12, no. 3, pp. 423-430, 2003.

  88. J. Tang, Y. G. Zhang, "A perfect reconstruction size-limited filter bank for orthogonal wavelet based finite signal subband processing", Digital Signal Processing, vol. 11, no. 4, pp. 304-328, 2001.

  89. J. Tang, R. Nakatsu, S. Kawato, J. Ohya, "A Wavelet-Transform Based Asker Identification System for Smart Multi-point Tele-conference", Journal of the Visualization Society of Japan, vol. 20, Suppl. no. 1, pp. 303-306, 2000.

  90. J. Tang, A. Cai, J. Sun, "Zero-padding of finite-length signals for orthogonal wavelet transform and its perfect reconstruction", ACTA Electronica, vol. 27, no. 1, pp. 89-92, 1999.

  91. J. Tang, Y. Wang, "A gray fingerprint image compression scheme using wavelet transform", Journal of System Science and System Engineering, vol. 7, no. 2, pp. 203-211, 1998.

  92. J. Tang, J. Wang, F. Zeng, R. J. Ma, Y. G. Zhang, "Thermal image compression based on wavelet transform", Pattern Recognition and Artificial Intelligence, vol. 9, no. 4, pp. 377-381, 1996.

  93. R. J. Ma, J. Wang, F. Zeng, J. Tang, H. Zhao, "The study of infrared thermal video system and its application in metallurgical industry", Journal of North China University, vol. 8, no. 3, 1996.

    94. Conference Papers

  94. Xiaoming Liu, Jia Zhang, Liangfu Luo, Jinshan Tang, "SMPNET: Scribble supervised OCT Retinal Layer Segmentation via Multilevel Feature Fusion and Prototype Aggregation", 2025 IEEE International Conference on Robotics & Automation (ICRA2025), 19-23 May, Atlanta, USA (submitted).

  95. Ye Jin, Pierce Cui, Jinshan Tang, "Segmentation of Starch Granules in Microscopic Images Using a U-Net Model", Electronic Imaging, 2024, pp. 310-1 - 310-6. https://doi.org/10.2352/EI.2024.36.5.MLSI-310.

  96. X. Liu, Rui Wang, J. Tang, "Graph Convolutional Networks with Feature Enhancement for Choroidal Neovascularization Segmentation in OCT Images", Proceedings of 2023 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3986-6990, October 1-4, 2023, Oahu, Hawaii, USA.

  97. X. Liu, X. Zhu, J. Tang, "Weakly Semi-supervised Object Detection with Point Annotations in Retinal OCT Images", Proceedings of 2023 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3991-1995, October 1-4, 2023, Oahu, Hawaii, USA.

  98. X. Liu, D. Zhang, X. Zhu, J. Tang, "VCT-NET: An Octa Retinal Vessel Segmentation Network Based on Convolution and Transformer", Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 2656-2660, 2022.

  99. X. Liu, L. Hu, X. Li, J. Tang, "OCTA Retinal Vessel Segmentation Based on Vessel Thickness Inconsistency Loss", Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 2676-2680, 2022.

  100. X Liu, Z Liu, Y Zhang, M Wang, B Li, J Tang," Weakly-Supervised Automatic Biomarkers Detection and Classification of Retinal Optical Coherence Tomography Images",Proceeding of 2021 IEEE International Conference on Image Processing (ICIP 2021), pp. 71-75, Sept.19-22, 2021

  101. Z. Ren, X. Chen, J. Tang, L. Wang, Y. Tong, and S. Xu, "Limited Times of Data Access Based on SGX in Cloud Storage", Proceeding of 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021), pp. 3146-3151, 2021.

  102. Fahao Qaio, Jinshan Tang,"An Image contrast enhancement algorithm in the wavelet domain with visual feature for visually impaired", Proceedings of The Seventh IEEE International Conference on Healthcare Informatics , pp.299-303, XI AN, China, June 10-13, 2019.

  103. Xiaoyong Bian ; Chunfang Chen ; Yang Chen ; Xiongjun Fei; Jingshan Tang, "Scene Classification via Learning a Multi-Branch Convolutional Network", Proceeding of IEEE International Conference on System, Man, Cybernetics , Bari, Italy, 6-9 Oct. 2019.

  104. Zilong Hu, Jinshan Tang, Ping Zhang, "Identification of bruised apples using deep learning and 3-D near-infrared imaging", Proceedings of International Conference on Pattern Recognition and Artificial Intelligence , Montreal, Canada, May 14-17,2018.

  105. Tao Jiang, Kai Zhang, Jinshan Tang, "Securing Medical Images for Mobile Health Systems Using a Combined Approach of Encryption and Steganography", 14th International Conference on Intelligent Computing Theories and Application , pp. 532-543, Wuhan, China, August 15-18, 2018.

  106. Ziming Wang, Jinshan Tang, Liang Lei, "Book title recognition for smart library with deep learning", SPIE Mobile Multimedia/Image Processing, Security, and Applications, Orlando, Florida, USA, April 16, 2018.

  107. Yulin Ding, Xiaolong Zhang, Tang, "A noisy sparse convolution neural network based on stacked auto-encoders". Proceeding of IEEE International Conference on System, Man, Cybernetics: pp.3457-3461,2017.

  108. Z. Hu, J. Tang, "Cluster driven anisotropic diffusion for speckle reduction in ultrasound images," in Proceeding of IEEE International Conference on Image Processing (ICIP2016), pp. 2325-2329, Phoenix, AZ, USA, October. 2016.

  109. Z. Hu, J. Tang, "A feature-preserving mesh denoising filter for 3-D printer", in Proceeding of IEEE International Conference on System, Man, Cybernetics, Budapest, Hungary, October 2016.

  110. Z. Hu, J. Tang, L. Lei, "Comparison of Several Speckle Reduction Techniques for 3D Ultrasound Images", in Proceeding of IEEE International Conference on System, Man, Cybernetics, Budapest, Hungary, October 2016.

  111. Y. Jiang, M. Jiang, J. Luo, Z. Gan, J. Tang, "An interactive Image retrieval method", in Proceeding of IEEE International Conference on System, Man, Cybernetics, Budapest, Hungary, October 2016.

  112. Z. Hu, J. Tang, "Detection of fruit bruise based on 3D meshes and machine learning technologies", in Proceeding of SPIE Mobile Multimedia/Image Processing, Security, and Applications, Baltimore, Maryland, USA, April 2016

  113. Z. Hu, J. Tang, L. Lei, "A hybrid algorithm for the segmentation of books in libraries", in Proc. SPIE9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690K, May 19, 2016.

  114. Z. Hu, J. Tang, "3D cluster-driven trilateral filter for speckle reduction in ultrasound images", in Proc. SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015, 949708, May 21, 2015.

  115. Z. Hu, J. Tang, "3D cluster-driven anisotropic diffusion for speckle reduction in ultrasound images and its GPU acceleration", in Proceeding of IEEE International Symposium on Computational Intelligence and Informatics, Hungary, November 2014.

  116. Y. Gu, J. Tang, "A mobile system for skin cancer diagnosis and monitoring", in Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 912009, May 22, 2014.

  117. Y. Qiu, J. Tang, "An enhancement technique for stereoscopic images using salient features and wavelet transform," Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 912002, May 22, 2014.

  118. J. Tang, Y. Gu, "Automatic Crack Detection and Segmentation Using a Hybrid Algorithm for Road Distress Analysis," in Proceedings of IEEE Conference on Systems, Man, and Cybernetics, pp. 3026~3030, Manchester, UK, October 2013.

  119. J. Tang, X. Liu, H. Cheng and K. M. Robinette, "Gender Recognition with Limited Feature Points from 3-D Human Body Shapes", in Proceedings of IEEE Conference on Systems, Man, and Cybernetics, pp. 2481-2484, Korea, 14-17 October 2012.

  120. S. Guo, J. Tang, J. Parakkat, K. M. Robinette, "Saccadic Eyes Recognition Using 3-D Shape Data from a 3-D Near Infrared Sensor", in Proceedings of SPIE conference on Mobile Multimedia/Image Processing, Security, and Applications, Baltimore, MD, USA, 23 - 27 April 2012.

  121. C. Fan, M. Jiang, J. Tang, "Salient region detection for object tracking," in Proc. SPIE 8406, Mobile Multimedia/Image Processingng, Security, and Applications 2012, 84060G, May 1, 2012.

  122. L. Deng, M. Jiang, J. Tang, "Human body pose estimation based on histograms of oriented gradients and Relevance Vector Machine", in Proceeding of IEEE International Conference on Systems, Man, and Cybernetic, pp. 3365-3369, Anchorage, Alaska USA, Oct. 9~12, 2011.

  123. J. Liu, X. Liu, J. Chen, J. Tang, "Improved local binary patterns for classification of masses using mammography," in Proceeding of IEEE International Conference on Systems, Man, and Cybernetics, pp. 2692-2695, Anchorage, Alaska USA, Oct. 9~12, 2011.

  124. Z. Qin, X. Zhang, Z. Huang, N. Zeng, J. Tang, "Suspicious user tracking based on web data analysis," in Proceeding of IEEE International Conference on Systems, Man, and Cybernetic, pp. 3353-3357, Anchorage, Alaska USA, Oct. 9~12, 2011.

  125. X. Zhang, N. Zeng, J. Tang, "Web User Behavior Monitoring for Campus Networks," in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp. 3828-3833, Istanbul, Turkey, Oct. 10-13, 2010.

  126. X. Liu, J. Liu, D. Zhou, and J. Tang, "A benign and malignant mass classification algorithm based on an improved level set segmentation and texture feature analysis," in Proceedings of the 4th International Conference on Bioinformatics and Biomedical Engineering, pp. 1-4, Chengdu, China, Jun 18~20,2010.

  127. Min Jiang, Jinshan Tang, Li Chen, Tao Shang, Zhaohui Gan, Xiaoming Liu, Qin Xu, "Articulated Human body pose tracking by supersession based immune particle filter", Proceedings of IEEE International Conference on Image Processing, Hongkong, Sept. 26-29. 2010.

  128. Jinshan Tang and Shengwen Guo, Human tracking for abnormal behavior recognition using GGVF snake with the estimation of critical points, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, Oct. 10-13, 2010 , Istanbul, Turkey.

  129. Xin Xu, Xiaomin Liu, and Jinshan Tang, Abnormal human behavior understanding: recent advance, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, Oct. 10-13, 2010, Istanbul, Turkey.

  130. Shengwen Guo and Jinshan Tang, "Content Based Image Retrieval from Chest Radiography Databases," The 43nd IEEE Annual Asilomar Conference on Signals, Systems, and Computers, Asilomar,Pacific Grove, California, 2009, USA.

  131. Shengwen Guo, Jinshan Tang, E. Cuadra, M. Mason, Qingling Sun, "Normalized wavelet diffusion for speckle reduction on 3D ultrasound images" in MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, edited by Faxiong Zhang, Proceedings of SPIE Vol. 7497 (SPIE, Bellingham, WA 2009) 74971R.

  132. Jinshan Tang, Qingling Sun, "A 3-D anisotropic diffusion filter for speckle reduction in 3-D ultrasound images", Proceeding of IS&T/SPIE Electronic Imaging, San Jose, California, USA, Jan. 18-22, 2009.

  133. Xiaoming Liu, Jinshan Tang, and Qingling Sun, " Image enhancement in the DCT domain for cancer detection,"Proceeding of The 42nd Annual Asilomar Conference on Signals, Systems, and Computers, Asilomar,Pacific Grove, California, Oct. 26-29, 2008, USA.

  134. Jinshan Tang and Xioaming Liu, "An improved WSQ fingerprint image compression algorithm," Proceeding of The 42nd Annual Asilomar Conference on Signals, Systems, and Computers, Asilomar,Pacific Grove, California, Oct. 26-29, 2008, USA.

  135. Jinshan Tang, Qingling Sun, Kawabana, Agyepong, "An Image enhancement algorithm based on a new contrast measure in the wavelet domain for Screening mammograms", Proceeding of IEEE International Conference on Image Processing, (ICIP2007), October 16-19, 2007,USA

  136. Xiaoming Liu, Zhaohui Wang, Zhilin Feng, Jinshan Tang, "A Pairwise Covariance-Preserving Projection Method for Dimension Reduction", Proceeeding of IEEE International Conference on Data Mining ,(ICDM 2007): 223-231, 2007.

  137. Jinshan Tang, Qingling Sun,Zhaohui Wang, Yongyan Cao "Perfect Reconstruction 4-Tap size-limited Filter Banks for Image Fusion Application", Proceeding of IEEE International Conference on Mechatronics and Automation (ICMA 2007).

  138. Jinshan Tang, Qingling Sun, Jun Liu, Yongyan Cao,"An Adaptive Anisotropic Diffusion Filter for Noise Reduction in MR Images," Proceeding of IEEE International Conference on Mechatronics and Automation (ICMA 2007) 255-260, 5-8, Auguest, 2007, Harbin, China.

  139. Yongyan Cao, Zhaohui Wang and Jinshan Tang, "Analysis and Anti-windup Design for timedelay systems subject to input Saturation," Proceeding of IEEE International Conference on Mechatronics and Automation, pp. 1968-1973, August 5-8, 2007, Harbin, China.

  140. Rob Janiczek, Jinshan Tang, and Scott T. Acton, "Incorporating variance within binary flow for leukocyte tracking", Proceeding of Thirty-eighth Annual Asilomar Conference on Signals, Systems, and Computers, Asilomar, Pacific Grove, California, USA, Sponsored by IEEE signal processing society, Nov., 2004.

  141. Jinshan Tang, Steven Millington, and Scott T. Acton, Jeff Crandall and Shepard Hurwitz, "Ankle Cartilage Surface Segmentation using directional Gradient Vector Flow Snakes," Proceeding of IEEE International Conference on Image Processing (ICIP 2004), Oct. 2004, Singapore.

  142. Jinshan Tang, Scott T. Acton, "A DCT based gradient vector flow snake for object boundary detection", Proceeding of Sixth IEEE Southwest Symposium on Image Analysis and Interpretation, March 28-30,2004, Harveys Resort & Casino, Lake Tahoe, Nevada, USA.

  143. Qingling Sun, Jinshan Tang, "A New Contrast Measure Based Image Enhancement Algorithm in the DCT domain", Proceeding of IEEE International Conference on Systems, Man & Cybernetics,October 5-8, 2003, Hyatt Regency, Washington, D.C., USA.

  144. Joseph P. Havlicek, Jinshan Tang , Scott T. Acton, Rob Antonucci, and Fabrice N. Ouandji, "Modulation domain texture retrieval for CBIR in digital libraries", Proceeding of Thirty-Seventh IEEE Annual Asilomar Conference on Signals, Systems, and Computers, Asilomar,Pacific Grove, California, November 9-12, 2003, USA, Sponsored by IEEE signal processing society.

  145. Jinshan Tang, Scott Acton, "An Image Retrieval Algorithm Using multiple query Images," Proceeding of Seventh International Symposium on Signal Processing and its Applications, IEEE Computer Society Press, pp. 193 -196, Paris, FRANCE, July, 2003.

  146. Jinshan Tang, Scott Acton, "A Decentralized Image Retrieval System for Education," Proceeding of IEEE Systems & Information Engineering Design Symposium, pp.7-12, Charlottesville, VA,USA,April,2003.

  147. Sridhar Avula, Jinshan Tang, Scott Acton, "Image Retrieval Using Segmentation", Proceeding of IEEE Systems & Information Engineering Design Symposium, pp.289-294, Charlottesville, VA,USA, April,2003.

  148. Jinshan Tang, Gang Dong, Nilanjan Ray, Scott T. Acton, "Evaluation of Intravital Tracking Algorithms", Proceeding of the IEEE International Midwest Symposium on Circuits and Systems, vol. I, pp. 220-223, Tulsa, Oklahoma, August, 2002.

  149. Jinshan Tang, Scott T. Acton, Dipti Mukhergee, "Retrieving Similar Images In Image Database Using Relational Matrix", Proceeding of The IEEE International Midwest Symposium on Circuits and Systems, vol. I, pp. 660-670, Tulsa, Oklahoma August, 2002.

  150. Jinshan Tang, S.Kawato, and Jun Ohya, "A wavelet transform based face recognition system and its applications", Wavelet analysis and Applications, AMS/IP Studies in Advanced Mathematics, American Mathematical Society, Vol.25, 2002.

  151. Jinshan Tang, Eli Peli, "Image enhancement in JPEG domain for low-vision patients", Digest of Technical Papers, Society for Information Display, 990-993,2002.

  152. Jinshan Tang, Qingling Sun, "A User Recognition System for Smart Computer" Procedding of The 2001 International Conference on Artificial Intelligence, pp. 561-567, Las Vegas, Nevada, USA, June 25-28, 2001.

  153. Eli Peli, Reed Hedges, Jinshan Tang and Dan Landmann,"A binocular stereoscopic display system with coupled convergence and accommodation demands", Digest of Technical Papers, pp. 1296-1299, San Jose, CA. Society for Information Display. 53.2,2001.

  154. Jinshan Tang, Ryohei Nakatsu, "A Visual Recognition System of the Audience's Reactions in Multi-point Tele-conferences", Proceeding of SPIE: Multimedia Systems and Applications III , pp.174-182, 6-8 November, 2001. Boston,USA, Vol 4209.

  155. Jinshan Tang, Ryohei Nakatsu, Shinjiro Kawato and Jun Ohya," Locating Human Face in a Complex Background Including Non-face Skin Colors ", Proceeding of 2000 International Conference on Imaging Science,Systems, and Technology, June 26-29,2000 Monte Carlo Resort, Las Vegas,Nevada,USA, pp117-122.

  156. Jinshan Tang, Ryohei Nakatsu, "A head gesture recognition algorithm", Lecture Notes in Computer Science, 1948, Springer, 2000, ISBN 3-540-41180-1.

  157. Jinshan Tang, Jizhou Sun, Y.G. Zhang, "Optimization of Wavelet Filters for Image Compression Using Genetic Algorithm", Proceeding of Fifth International Symposium on Artificial life and Robotics, pp.551-554, Jan 26- Jan 28,2000,Oita, Japan.

  158. Jinshan Tang, Shinjiro Kawato, Jun Ohya, "Face detection from a complex background", Proceeding of International Workshop on Very Low Bitrate Video Coding, , pp 196-199, Kyoto Research Park on Oct. 29-30, 1999,JAPAN.

  159. Jinshan Tang, Jun Ohya, " A real-time surveillance and evaluation system of audience's reaction for meeting sessions", Proceeding of SPIE Conference on Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, pp45-57, 19-22, September 1999, Boston, MA,USA.

  160. Jinshan Tang, Yongguang Zhang, "A Genetic algorithm for the design of boundary filter," Proceeding of International Symposium on Artificial life and Robotics, pp. 458-461, Japan, 1998.

  161. Jinshan Tang, Yujiang Wang,Yongguang Zhang," Wavelet transform for finite length signals and image coding," Proceeding of International Conference on CAD/Graphics97, pp.182-185, Shenzhen, China.

    Abstract

  1. Steven A Millington, Li Bing, Jinshan Tang, Siegfried Trattnig, Shepard R Hurwitz, Scott T Acton, "Topography & Quantification of Human talar articular cartilage using high resolution cartilage sensitive MRI", Transactions of 52nd Annual Meeting of the Orthopaedic Research Society, Vol. 31, March 19-22, Chicago, IL. 2006.

  2. Steven A Millington, Jinshan Tang, Scott Acton, Shepard R Hurwitz, Jeff Crandall, "Quantitative MRI of Ankle Articular cartilage", J Bone Joint Surg Br Proceedings, British Orthopaedic Foot Surgery Society, Sep 2005; 87-B: 372.

  3. Steven A Millington, Jinshan Tang, Shepard R Hurwitz, Jeff Crandall and Scott Acton, "A Quantitative MRI study of Human Ankle Articular cartilage: A comparison of a Isotropic and Non-isotropic Technique", Transactions of Annual Meeting of the Orthopaedic Research Society , Vol.30, Washington, D.C., 2005

  4. Steven Millington, Jinshan Tang, Scott Acton, Jeff Crandall and Shepard Hurwitz, "Quantitative measurement of ankle cartilage using an isotropic MRI sequence and a directional gradient vector flow snake", Osteoarthr Artilage 12: S118-S118 Suppl. B 2004.

  5. Jinshan Tang, Shinjiro Kawato, Jun Ohya, " A face recognition system based on wavelet transform and neural network " International conference on wavelet analysis and its application, pp53, Nov. 15-20,1999,Guangzhou, P.R. China.

  6. Jinshan Tang, Jun Ohya," A new size-limited filter bank for finite signal subband signal processing," International conference on wavelet analysis and its application, pp52, Nov. 15-20,1999, Guangzhou, P.R. China.
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