About Me

Dr. Yaqing Wang is currently an Associate Professor at the Beijing Institute of Mathematical Sciences and Applications (BIMSA). She received her Ph.D. in Computer Science and Engineering from the Hong Kong University of Science and Technology in 2019, under the supervision of Professor Lionel M. Ni and Prof. James T. Kwok. From 2019 to 2024, she worked as a Staff Researcher at Baidu Research. Dr. Wang has published around 30 papers in top-tier international conferences and journals, including NeurIPS, ICML, ICLR, KDD, TheWebConf, SIGIR, IJCAI, EMNLP, TPAMI, JMLR, and TIP, with more than 4500 citations. Dr. Wang has been selected for the World’s Top 2% Scientists List (single year) by Stanford University and Elsevier company on 2024.

Research Interests

Dr. Yaqing Wang’s research focuses on machine learning, artificial intelligence, and data science.
Her work is fundamentally guided by the principle of parsimony, aiming to uncover refined scientific explanations that address real-world challenges in an efficient and cost-effective manner.

Her current research interests include:

• Few-shot learning, meta-learning, and in-context learning

• Large language models and agents

• AI for Science and Mathematics (AI + X)

• Cold-start recommendation and user modeling

Recruiting

We are always looking for talented and highly motivated students and postdoctoral researchers to join our team:

• Postdoctoral Positions through the Tsinghua–BIMSA Joint Program
• Ph.D. Positions through the RUC–BIMSA Joint Program

Students from Qiuzhen College, Tsinghua University are especially encouraged to get in touch.
Please check here for more details.

🎉 News

2025.05: Our work “PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching” has been accepted to KDD 2025.

2025.01: Our work “Why In-Context Learning Models are Good Few-Shot Learners?” has been accepted to ICLR 2025.