Scholar
Xueyan Niu
Google Scholar ID: kE-TDSYAAAAJ
Theory Lab, 2012 Labs, Huawei Technologies Co., Ltd.
Citations & Impact
Citations
205
H-index
8
i10-index
7
Publications
20
Co-authors
15
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published works in leading information theory venues such as IEEE Transactions on Information Theory and IEEE ISIT, as well as top artificial intelligence conferences including NeurIPS, IJCAI, and ACL. Notably, received the Outstanding Early Career Researcher Paper Award at ISITA 2020 for research on partial information decomposition.
Research Experience
- - Principal Engineer at Huawei 2012 Labs' Theory Lab since 2022.
- - Researcher at Baidu Research's Cognitive Computing Lab in 2021.
Education
- - Ph.D. degree in operations research from Purdue University, West Lafayette, IN, USA, in 2021.
- - B.S. degree in mathematics and applied mathematics from Peking University, Beijing, China, in 2016.
Background
- Research interests: At the intersection of machine learning, information theory, and communications. Focuses on foundational aspects of generative modeling and efficient data representation, with applications in large language models, image, and video processing.
Miscellany
- Looking for highly self-motivated student interns with aligned research interests. Applications from individuals from underrepresented groups are strongly encouraged.
