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 over 20 papers in top-tier international conferences and journals, including NeurIPS, ICML, ICLR, KDD, TheWebConf, SIGIR, IJCAI, EMNLP, TPAMI, JMLR, and TIP, with more than 4000 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 specific research areas include:
- Few-shot learning, meta learning, and in-context learning
- Large language models and agents
- AI for Science (AI4Science)
- Cold-start recommendation systems
- Sparse and low-rank learning
Recruiting
We are always looking for talented and highly motivated interns, students and postdocs to join our team. If you are interested, please feel free to contact me with your CV.
Postdoc Opportunities at BIMSA🔥
Research Areas: Machine Learning, Foundation Models, AI Agents, and AI4Science.
Benefits: Very competitive salary package with comprehensive benefits, including dining, housing, insurance, and travel support.
Requirements: Ph.D. (or near completion) in Computer Science, Applied Mathematics, or related fields with a strong research background; Proficiency in English and advanced Python programming skills.
Opportunities: Engage in industry collaborations and cutting-edge interdisciplinary projects; Collaborate closely with Tsinghua University (YMSC and EE); and explore pathways for subsequent appointments at BIMSA as Assistant Professor.