Scholar
Kan Ren
Google Scholar ID: USnQVWgAAAAJ
Assistant Professor, ShanghaiTech University
Citations & Impact
Citations
3,308
H-index
29
i10-index
40
Publications
20
Co-authors
19
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published over 40 research papers in internationally renowned conferences and journals, including NeurIPS, ICLR, and KDD. Two of his works on large language models (LLM) in data science have been awarded as Best Paper and Outstanding Paper in top-tier conferences. Authored a book on recommender systems and played a pivotal role in leading or contributing to several significant open-source projects, such as Sequence Machine Learning, Automated Machine Learning, Automated Reinforcement Learning, AI for Healthcare, and AI for Finance.
Research Experience
- Previously a Senior Researcher at Microsoft Research Asia, currently an Assistant Professor at the VDI Center within the School of Information Science and Technology at ShanghaiTech University.
Education
- No specific education background information provided.
Background
- Research interests include machine learning, data mining, and reinforcement learning, with applications in spatiotemporal data, language, and vision. Committed to addressing practical issues in data science and innovating machine learning methods, including but not limited to data mining, foundational model innovation, automated machine learning, and interpretable machine learning.
Miscellany
- Nurtured and guided over ten internship students, many of whom have successfully gained admission to renowned institutions such as MIT, CMU, University of California San Diego, and University of Maryland. Many students under his guidance have received special offers from top-tier technology companies, including Huawei, Alibaba, Tencent, ByteDance, Meituan, and Xiaohongshu.
