My Expertise
Machine Learning, Artificial Intelligence, Recommender Systems, Internet of Things, Brain Computer Interface, Human Machine Interactions
Her research area is in Few-Shot Learning, Zero-Shot Learning, Deep Reinforcement Learning, Meta-Learning, Neural Process, Self-supervised Learning, Graph Neural Networks and their applications in a broad range of applications in Recommender Systems, Computer Vision, Brain-Computer Interface, Biomedical Image Analysis, Intelligent Transportation System, and Internet of Things. She maintains a strong international research collaboration with world-leading universities such as Stanford University, Tsinghua University, UCSD, TU Wien etc. She is serving as Associate Editor for ACM Transactions on Sensor Networks (ACM TOSN), Knowledge-based Systems (KNOSYS) and Section of Recommender Systems of Frontiers in Big Data. She has over 200 peer-reviewed publications both in international leading conferences and journals including NeurIPS, SIGKDD, WWW, SIGIR, ICDM, CVPR, UbiComp, AAAI, IJCAI etc.