
Yan Huang Profile - Carnegie Mellon University
Yan Huang is an Associate Professor of Business Technologies at the Tepper School of Business, Carnegie Mellon University.
Yan Huang ( CV ) - Google Sites
5000 Forbes Avenue Pittsburgh, PA 15213 Office: TEP 5106 Phone: (412) 268-4311 Email: yanhuang[at]cmu[dot]edu. SSRN | Google Scholar
Yanhuang - Wikipedia
Yanhuang or Yan Huang (simplified Chinese: 炎 黄; traditional Chinese: 炎 黃; pinyin: Yán Huáng) was the name of a mythical ethnic group of ancient China who were said to have inhabited the Yellow River basin area.
Yan Huang - Google Scholar
H Huang, Y Huang, Z Yan, H Zhang. Forthcoming at MIS Quarterly, 2021. 13: 2021: Data-Driven Promotion Planning for Paid Mobile Applications. M Li, Y Huang, A Sinha. Information Systems Research 31 (3), 1007-1029, 2020. 13: 2020: Data-Driven …
Yan Huang - University of North Texas
PhD, University of Minnesota, 2003. Major: Computer Science; BS, Beijing University, 1997. Major: Computer Science
Yan Huang Publications - Carnegie Mellon University
Mar 24, 2025 · View the Carnegie Mellon University profile of Yan Huang. Including their publications, professional activities and teaching activities.
Yan Huang - Research - Google Sites
Yan Huang, Param Vir Singh, and Anindya Ghose. 2015. A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media . Management Science (61:12): 2825-2844.
Yan Huang's Homepage
Yan Huang received the BSc degree from University of Electronic Science and Technology of China (UESTC) in 2012, and the PhD degree from University of Chinese Academy of Sciences (UCAS) in 2017.
Yan Huang - Google 学术搜索 - Google Scholar
Yan Huang. Institute of Automation, Chinese Academy of Sciences. 在 nlpr.ia.ac.cn 的电子邮件经过验证 - ... Z Luo, Z Wang, Y Huang, L Wang, T Tan, E Zhou. Proceedings of the IEEE/CVF conference on computer vision and pattern ...
Yan Huang at Microsoft Research
Yan has been active as a reviewer for several journals, IEEE publications, and conferences. She participated in writing “New Era for Robust Speech Recognition: Exploiting Deep Learning”, Springer, 2017. Yan is a Senior Member of IEEE, currently she is also serving for Technical Committee of IEEE Applied Signal Processing Systems (ASPS).