![]() Jing Zhang and Rangachar Kasturi, "Weighted Boundary Points for Shape Analysis", Proceedings of the Twentieth International Conference on Pattern Recognition (ICPR), pp. Jing Zhang and Rangachar Kasturi, "Text detection using edge gradient and graph spectrum", Proceedings of the Twentieth International Conference on Pattern Recognition (ICPR), pp. Jing Zhang and Rangachar Kasturi, "Character energy and link energy based text extraction in scene images", Proceedings of the Tenth Asian Conference on Computer Vision (ACCV), LNCS Vol. Jing Zhang and Rangachar Kasturi, "Sign Detection based Text Localization in Scene Images", The Fifth International Workshop on Camera Based Document Analysis and Recognition (CBDAR), Washington, D.C, U.S.A., Aug. Maciej Mazurowski and Jing Zhang, "Modeling resident error-making patterns in detection of mammographic masses using computer-extracted image features", SPIE medical imaging, San Diego, CA, 2014 Jing Zhang, Daniel Barboriak, Hasan Hobbs, and Maciej Mazurowski "A fully automatic extraction of magnetic resonance image features in Glioblastoma patients", Medical Physics, 41(4), 042301, 2014 Maciej Mazurowski, Jing Zhang, Lars Grimm, Sora Yoon, and Zack Silber, "Radiogenomic analysis of breast cancer: Luminal B molecular subtype is associated with enhancement dynamics in MRI", Radiology, 2014 Jing Zhang and Rangachar Kasturi, "A Novel Text Detection System Based on Character and Link Energies", IEEE Transactions on Image Processing (TIP), 2014 Maciej Mazurowski, Jing Zhang, Katherine Peters, and Hasan Hobbs, "Computer-extracted MR imaging features are associated with survival in glioblastoma patients", Journal of Neuro-Oncology, 1-6, 2014 Jing Zhang, Joseph Lo, Cherie Kuzmiak, Sujata Ghate, Sora Yoon, and Maciej Mazurowski, "Using Computer-extracted image features for modeling of error-making patterns in detection of mammographic masses among radiology residents", Medical Physics, 41(9), 091907, 2014 Postdoctoral Associate, Duke University, July 2012- July 2014.Computer Science, University of South Florida, 2012 The practitioner's primary taxonomy code is 207R00000X with license number 210745 (NY). The NPI number of this provider is 1356304372 and was assigned on April 2006. 2018: Invited Talk at ACML 2018 Workshop on Machine Learning in Education. Jing Zhang is an internist established in Staten Island, New York and her medical specialization is Internal Medicine with more than 40 years of experience.2019: Invited Talk at Sino-German International Seminar. ![]() 2020: Invited Talk at NLPCC 2020 Student Workshop.2021: Invited Talk about Graph Self-supervised Learning at School of Computer Science & Technology, HUST.2021: Invited Talk about Neural-Symbolic Reasoning on Knowledge Graphs at BAAI Seminar.2021: Invited Talk about Graph Self-supervised Learning on CCAI 2021.2021: Invited Talk about Knowledge Graph Question Answering on CNCC 2021.2021: Invited Talk about Neural-Symbolic Reasoning on Knowledge Graphs on CCKS 2021.2022: Invited Talk about Knowledge Graph Question Answering on WAIC 2022.2022: Invited Talk about Graph Contrastive Learning at BAAI Seminar 2022.SIGKDD Test-of-Time Award, the 2nd most-cited paper among all KDD 2008's papers. SIGKDD'08 ( Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner:Extraction and Mining of Academic Social Networks.If interested, please drop me a message by email. I am looking for highly-motivated students to work with me. More information about my experience and research can be found on Google Scholar. My current research focuses on large language models and knowledge engineering. Overview Ratings About Me Insurance Locations Compare. My research interest falls in data mining and natural language processing. Jing Zhang, DMD is a dentistry practitioner in Farmington, CT. In 2019, he joined the faculty in Beihang University, holding the position of Professor. degree from Department of Computer Science and Technology, Tsinghua University under supervision of Professor Jie Tang and Professor Juanzi Li. I am an associate professor at School of Information, Renmin University of China. Department of Computer Science and TechnologyĪddress: Room 427, Information Building, Renmin University of China, Beijing
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