Jing Zhang is an associate professor at Renmin University of China with a decade of experience at the intersection of data mining and natural language processing, grounded in a Ph.D. from Tsinghua University. Her research focuses on knowledge reasoning over knowledge graphs and documents using pretrained language models and graph neural networks, blending theoretical rigor with practical systems experience from IBM. She has international research exposure through visits to KU Leuven, UIUC, HKUST, and collaborations with leading advisors, reflecting a strong network in the global AI community. Jing’s work often bridges social network analysis and semantic web techniques, an unexpected throughline from her early industry work on linked data to her current deep learning approaches. Based in Haidian, Beijing, she maintains an active scholarly presence with publications and resources available on her homepage and Google Scholar.
10 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Beijing Jiaotong University
Doctor of Philosophy (Ph.D.), Social network modeling and analysis, data mining, Doctor of Philosophy (Ph.D.), Social network modeling and analysis, data mining at Tsinghua University
Contributions:10 commits, 9 pushes, 1 branch in 1 day
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