Yaqing Wang is a staff researcher at Baidu Research, Baidu Inc. She obtained Ph.D degree in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology, 2019. Her research interests are on machine learning algorithms and its applications, especially on few-shot learning, low-rank and sparse learning and biomedical applications. She has published on many top-tier conferences and journals such as ICML, NeurIPS, EMNLP, The Web Conference, and TIP. She also served as senior program committee members at IJCAI 2021 and AAAI 2022, and reviewers at ICML, NeurIPS, ICLR, TPAMI, TNNLS yearly etc.