Ning An is an active academic researcher primarily affiliated with Hefei University of Technology in China, with additional connections to Shandong University and Xi'an Jiaotong University. With over two decades of publication history spanning from 1998 to 2025, Dr. An maintains a highly productive research trajectory, particularly evident in the substantial publication output in recent years (2023-2025). Dr. An's research spans multiple interdisciplinary domains at the intersection of computer science and health informatics. Key research interests include natural language processing (particularly few-shot learning and named entity recognition), multimodal sentiment analysis, time series forecasting, causal inference, and health monitoring technologies. A significant portion of recent work focuses on applications in elder care technology and medical diagnostics, demonstrating a commitment to translating technical innovations into practical healthcare solutions. The publication trends reveal a strong focus on few-shot learning approaches for natural language processing tasks, with numerous 2024-2025 papers addressing nested named entity recognition. There's also a notable thread of research in multimodal sentiment analysis and time series forecasting, particularly using frequency domain approaches. The consistent collaboration pattern with researchers like Jiaoyun Yang, Lian Li, and Lili Jiang suggests a well-established research group or laboratory environment. Dr. An's work demonstrates significant impact across multiple venues including top conferences like ACL, NeurIPS, and IJCAI, as well as prestigious journals such as Engineering Applications of Artificial Intelligence and Expert Systems with Applications. The research has practical applications in healthcare, particularly in elder care monitoring, depression assessment, and non-invasive health monitoring systems. As a mentor, Dr. An has guided numerous researchers including Jiaoyun Yang, Lian Li, and Lili Jiang, who frequently appear as co-authors on publications. The collaborative nature of the work extends to international partnerships, with publications involving researchers from institutions across China and potentially beyond.
