亚洲AV

Jingyuan Yang

亚洲AV Costello College of Business Faculty Jingyuan Yang
Titles and Organizations

Assistant Professor, Information Systems and Operations Management

Contact Information

Email: jyang53@gmu.edu
Phone: (703) 993-1771
Office Location: Enterprise Hall 146

Biography

Jingyuan Yang is an assistant professor of information systems and operations management at the Costello College of Business, 亚洲AV. She earned her doctoral degree in Information Technology from the Business School at Rutgers, the State University of New Jersey.聽Her general areas of research聽focus on data mining, machine learning, recommender systems, and business analytics. Her research has been published as full papers in premier journals such as INFORMS Journal on Computing (滨闯翱颁),听IEEE Transactions on Knowledge and Data Engineering (TKDE), Neural Networks,聽and top conferences of knowledge discovery and data mining, including the IEEE International Conference on Data Mining (ICDM), the SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), and the IEEE International Conference on Big Data (Big Data).

Research Interests

  • Data Mining and Knowledge Discovery
  • Marketing Analytics
  • Business Intelligence

Education

  • Ph.D. - Rutgers, the State University of New Jersey
  • M.S. -聽Rutgers, the State University of New Jersey
  • B.A. - Nankai University, Tianjin, China

Research and Awards

  • Published an article titled, 鈥淚terative Prediction-and-Optimization for E-logistics Distribution Network Design鈥 (coauthored with Junming Liu, Weiwei Chen, Hui Xiong, and Can Chen) in INFORMS Journal on Computing (IJOC), Accepted, 2021.
  • Published an article titled, 鈥淐ross-Lingual Knowledge: Transferring by Structural Correspondence and Space Transfer鈥 (coauthored聽with D. Wang, J. Wu, B. Jing, W. Zhang, X. He, and H. Zhang) in聽IEEE Transactions on Cybernetics (IEEE Trans. Cybern, impact factor: 11.079), Accepted, 2021.
  • Published an article titled, 鈥淓xploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems鈥 (coauthored with Jingjing Gu, Qiang Zhou, Yanchi Liu, Fuzhen Zhuang, and Hui Xiong) in聽IEEE Transactions on Knowledge and Data Engineering聽(TKDE, impact factor: 5.876), Accepted, 2020.
  • Published an article titled, 鈥淣euO: Exploiting the sentimental bias between ratings and reviews with neural networks, Neural Networks鈥 (coauthored with Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, and Hui Xiong) in Neural Networks (NEURAL NETWORKS, impact factor: 7.197), Accepted, 2019.
  • Published an article titled, 鈥淒ynamic Talent Flow Analysis with Deep Sequence Prediction Modeling鈥 (coauthored with Huang Xu, Zhiwen Yu, Hui Xiong, and Hengshu Zhu) in聽IEEE Transactions on Knowledge and Data Engineering聽(TKDE, impact factor: 5.876), Accepted, 2018.
  • Published an article titled, 鈥淎 Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation鈥 (coauthored with Chuanren Liu, Mingfei Teng, Ji Chen, and Hui Xiong) in聽IEEE Transactions on Knowledge and Data Engineering聽(TKDE) 2017.
  • Published and presented the paper titled, 鈥淏uyer Targeting Optimization: A Unified Customer聽Segmentation Perspective" at聽the 2016 IEEE International Conference on Big Data (coauthored with Chuanren Liu, Mingfei Teng, March Liao, and Hui Xiong).
  • Published聽the paper titled, 鈥淭alent Circle Detection in Job Transition Networks"聽at the SIGKDD International Conference on Knowledge Discovery and Data Mining聽(coauthored with Huang Xu, Zhiwen Yu, Hui Xiong, and Hengshu Zhu).
  • Published and presented the聽paper titled, 鈥淭emporal Behavior Patterns and Community Networks for B2B Marketing Campaign Recommendations"聽the 2015 IEEE International Conference on Data Mining聽(coauthored with聽Chuanren Liu, Mingfei Teng, March Liao, Vivian Zhu, and Hui Xiong).
  • Published the paper titled, 鈥淪tation Site Optimization in聽Bike Sharing Systems"聽at the聽2015 IEEE International聽Conference on Data Mining聽(coauthored with聽Junming Liu, Qiao Li, Meng Qu, Weiwei Chen, and Hui Xiong).聽