Huan Ni received his Ph.D. degree from Wuhan University in 2017 and conducted postdoctoral research at INRIA, France from 2020 to 2021. Since 2018, he has been with Nanjing University of Information Science and Technology, where he has successively served as Lecturer, Associate Professor, and Master’s Supervisor. His research interests focus on cross-task, cross-modal, and cross-scene domain adaptation, few-shot segmentation, and visual geometry (including image–point cloud registration and geometric structure analysis). He applies these theories and methods to land cover mapping, urban scene understanding, and remote sensing of environment. Over the past five years, Dr. Ni has published more than 20 research articles in leading journals such as Pattern Recognition, IEEE Transactions on Geoscience and Remote Sensing (TGRS), ISPRS Journal of Photogrammetry and Remote Sensing (JPRS), and the International Journal of Applied Earth Observation and Geoinformation (JAG). He has also led eight funded projects, including defense-related programs, projects supported by the National Natural Science Foundation of China, the Natural Science Foundation of Jiangsu Province, and enterprise-commissioned research. His representative contributions include formulating an assignment mathematical programming problem with additional category-conditional constraints and its solution process, as well as developing a conditional Gaussian dense matching mechanism for few-shot segmentation.