Qing Wang

Dr. Qing Wang is a Research Staff Member of IBM Research China. She joined IBM in 2004 after obtaining Ph.D from School of EEE , Nanyang Technological University, Singapore in 2003.  Her current research fields include computer vision with deep learning, machine learning, medical image processing, etc. Currently, she is one of the key contributors to build a deep learning platform named POWER AI Vision and also to develop algorithms on video classification and action recognition. She is skillful on deep neural network, statistical analysis, system acceleration for Power, X86 and Cell Broadband Engine. She has rich engineering experiences through projects with major enterprises. On GTC2018, she was chosen as the Featured Speakers to introduce her work on video summarization using multimodal learning. She has published over 30 papers, 2 book chapters, and about 20 patents filed. She is an IEEE Senior Member and severs for several conferences as technical member.

王青博士是IBM资深研究员。 她毕业于新加坡南洋理工大学电气与电子工程系， 专注于计算机视觉、Automated AI等领域的工作， 是IBM PowerAI Vision产品的关键研究人员和算法负责人， 实现了定制化的图像分类、目标检测、动作识别等AI自动化功能， 因而获得2018年工业设计大奖“星火奖“的金奖。她的研究兴趣还包括视频分析、Meta Learning、基于学习的数据增强等。在2018年GTC大会上， 被选为“Featured Speaker”。她是IEEE Senior Member，ACM， CCF Member， 也是国家自然科学基金通讯评审。她发表论文30余篇， 专利30 多个。