My research lies in Computer Vision, and its interactions with other fields (e.g., machine learning, robotics, NLP, HCI, and graphics), broad applications (e.g., AR/VR, autonomous driving, etc.), and diverse disciplines (e.g., biology, paleoecology, psychology, special education, etc.). My current research focus is on Visual Perception via Learning in the Open World (VPLOW). My recent paper on this topic was recognized for Best Paper / Marr Prize at ICCV 2021. I also actively apply my algorithms to interdisciplinary research including building a high-throughput pollen analysis system, which was featured by the National Science Foundation as that “opens a new era of fossil pollen research”.