Scholar
Xiaolin Huang
Google Scholar ID: DR-gBcEAAAAJ
Professor, Shanghai Jiao Tong University
Citations & Impact
Citations
4,913
H-index
37
i10-index
101
Publications
20
Co-authors
18
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Principal Investigator, NSFC General Program: Theory, Methods, and Applications of Dynamic Spatial Reduction in Deep Neural Network Training (2024–2027)
- Principal Investigator, NSFC General Program: Theory, Algorithms, and Applications of Multi-layer Indefinite Kernel Learning (2020–2023)
- Principal Investigator, NSFC Youth Program: Robust 1-bit Compressive Sensing and Its Applications (2017–2019)
- Principal Investigator, National Key R&D Program: Intelligent Recognition of Food Varieties and Components (2023–2027)
- Principal Investigator, Shanghai Science and Technology Commission AI Project: Robustness of Deep Neural Networks Based on Randomness and Low Dimensionality (2022–2024)
- Led multiple Huawei collaborative projects (2019–2025) on text-to-image foundation models, multimedia AI engines, and optimization in image recognition
- Participated in EU Advanced Grant: Advanced Data-Driven Black-Box Modeling (2012–2016)
- Contributed to major national and municipal projects including the 'New Generation AI' Mega-Project and Shanghai Municipal Science and Technology Major Project
- Selected as a National Young Talent (2017)
- IEEE Senior Member
- Editor, Machine Learning journal
- Area Chair for ICLR, CVPR, ICCV; Senior TPC Member for AAAI
Research Experience
- 2024–present: Professor, Shanghai Jiao Tong University
- 2016–2023: Associate Professor, Shanghai Jiao Tong University
- 2015–2017: Humboldt Fellow, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Germany
- 2015–2016: Independent Researcher, KU Leuven, Belgium
- 2012–2015: Postdoctoral Researcher, KU Leuven, Belgium
