I am an Associate Professor at Computer Science and Technology Department of Harbin Institute of Technology (Weihai). My research is on machine learning and image processing, particularly on medical image analysis. Education Bachelor's degree from Harbin Institute of Technology, China, Computer Science,1995 Master's degree from Harbin Institute of Technology, China, Computer Science,1998 Doctor's degree from Harbin Institute of Technology, China, Computer Science,2013 Work Experience May 1998 - May 2004, Software Engineer, Dongfang Electronics Co.,Ltd., Yantai, China May 2004 - now, Associate Professor in Dept. of CS, Harbin Institute of Technology(Wei hai), China Sep 2014 - Oct 2015, Visting Scholar, Dept. of Computer Science, Utah State University

My research is on machine learning and image processing, particularly on medical image analysis.

J Ding, HD Cheng, C Ning, J Huang, Y Zhang. Quantitative measurement for thyroid cancer characterization based on elastography. Journal of Ultrasound in Medicine 2011, 30: 1259–1266 J Ding, HD Cheng, J Huang, Y Zhang, J Liu. An improved quantitative measurement for thyroid cancer detection based on elastography. European Journal of Radiology 2012, 81(4): 800-805 J Ding, HD Cheng, J Huang, J Liu, Y Zhang. Breast Ultrasound Image Classification Based on Multiple-Instance Learning. Journal of Digital Imaging 2012, 25(5): 620-627 Ding, Jianrui; Cheng, H.D.; Huang, Jianhua; Zhang, Yingtao; Multiple-instance learning with global and local features for thyroid ultrasound image classification，Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014，66-70 Jianrui Ding, H.D. Cheng, Min Xian, Yingtao Zhang, Fei Xu, Local-weighted Citation-kNN algorithm for breast ultrasound imageclassification, Optik, 2015 (126): 5188–5193 Jianrui Ding, Min Xian, H.D. Cheng, Yingtao Zhang, Fei Xu, An algorithm based on LBPV and MIL for Left Atrial Thrombi detection using Transesophageal Echocardiography. 4224-4227，ICIP 2015 Xu, Fei ; Xian, Min; Cheng, H.D.; Ding, Jianrui; Zhang, Yingtao, Unsupervised saliency estimation based on robust hypotheses, 2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016, 1-6 Xian, Min; Xu, Fei ; Cheng, H.D.; Zhang, Yingtao; Ding, Jianrui, EISeg: Effective interactive segmentation, 2016 23rd International Conference on Pattern Recognition, ICPR 2016, 1982-1987 Xian, Min; Zhang, Yingtao; Cheng, H.D.; Xu, Fei ; Ding, Jianrui, Neutro-Connectedness Cut, IEEE Transactions on Image Processing, 2016, 25(10): 4691-4703 Xian Min, Zhang Yingtao, Cheng H.D., Xu Fei, Zhang Boyu ,Ding Jianrui, Automatic breast ultrasound image segmentation: A survey, Pattern Recognition, 2018, 79:340-355 Fengqin Wei, Jianrui Ding, Chunping Ning, Fei Xu, Min Xian, Yingtao Zhang, Texture Analysis and Imbalanced Data Processing for Papillary Thyroid Microcarcinoma Detection, 2018: 295-298, International Conference on Biological Information and Biomedical Engineering (BIBE 2018) F. Xu, M. Xian, Y. Zhang, K. Huang, H.-D. Cheng, B. Zhang, J. Ding, C. Ning, and Y. Wang, “A Hybrid Framework for Tumor Saliency Estimation,” in 2018 24th International Conference on Pattern Recognition (ICPR), 2018, 3935-3940