Regular biography
Qingyao Ai is an Associate Professor in the Department of Computer Science and Technology at Tsinghua University. His research focuses on Information Retrieval and Machine Learning, with current work integrating retrieval and generative AI techniques to enhance information access systems and agents. His research interests include retrieval/ranking optimization, retrieval augmented generation, and automatic prompt refinement. He has received several awards, including the ACM SIGIR Early Career Researcher Award (2024) and the ACM SIGIR 2024 Best Paper Award (2024). His work has been published in top conferences such as ACM SIGIR, CIKM, and EMNLP.
Scholar-generated biography
Qingyao Ai is an Associate Professor in the Department of Computer Science and Technology at Tsinghua University, specializing in Information Retrieval and Machine Learning. Their research focuses on improving search and recommendation systems through advanced neural network models and deep learning techniques. Key areas include neural ranking models, explainable recommendations, and conversational search. Ai's work explores the integration of large language models with information retrieval, emphasizing real-time and personalized systems. They have contributed to the development of deep relevance matching models, unbiased learning to rank, and dynamic retrieval augmentation for large language models.