Yangqiu Song

Yangqiu Song is an Associate Professor in the Department of Computer Science at The Hong Kong University of Science and Technology. Her research focuses on Artificial Intelligence. She has held positions at the Lane Department of CSEE at WVU, UIUC, HKUST, and Huawei Noah's Ark Lab. She is also affiliated with Microsoft Research Asia and IBM Research-China. Song received her BE and PhD degrees from Tsinghua University. She has worked as an intern at Google and IBM Research-China. Her personal webpage is available at https://cse.hkust.edu.hk/~yqsong/.

Yangqiu Song is a researcher with expertise in Artificial Intelligence, Data Mining, Natural Language Processing, Knowledge Graphs, and Commonsense Reasoning. Their work focuses on advancing language models, understanding evolving topics in text, and improving recommendation systems through heterogeneous information networks. Song has contributed to areas such as adversarial few-shot learning, multi-step jailbreaking attacks, and scalable network embeddings. Their research also explores the intersection of structured data and text analysis, including intelligent malware detection and multilingual hate speech analysis. The work emphasizes the development of robust, interpretable, and scalable AI systems.