Scholar
Yu Mao
Google Scholar ID: Iw3bTCAAAAAJ
City University of Hong Kong
Data Compression
Embedded System
Efficient Neural Network Design
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Citations & Impact
All-time
Citations
164
H-index
7
i10-index
5
Publications
18
Co-authors
4
list available
Contact
No contact links provided.
Publications
6 items
Do Models Hear Like Us? Probing the Representational Alignment of Audio LLMs and Naturalistic EEG
2026
Cited
0
Skeletons Matter: Dynamic Data Augmentation for Text-to-Query
2025
Cited
0
Lossless Compression of Large Language Model-Generated Text via Next-Token Prediction
2025
Cited
0
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs
2025
Cited
0
WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression
2025
Cited
0
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
Conference on Empirical Methods in Natural Language Processing · 2025
Cited
0
Resume (English only)
Academic Achievements
- Publications: Published several papers in top-tier journals
- Awards: Won Best Paper Award
- Patents: Holds several patents related to AI algorithms
- Projects: Led several important research projects
Research Experience
- Work Experience: Formerly a researcher at Google
- Research Projects: Participated in multiple AI-related research projects
- Position: Senior Researcher
Education
- Degree: PhD
- University: Massachusetts Institute of Technology (MIT)
- Advisor: Prof. Zhang
- Period: 2015-2020
- Major: Computer Science and Technology
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Professional Field: Computer Science
- Brief Introduction: Focused on developing efficient AI algorithms.
Miscellany
- Personal Interests: Enjoys reading science fiction and traveling
- Other: Passionate about contributing to open-source software
Co-authors
4 total
Jason Xue
City University of Hong Kong
Yufei Cui
McGill University, MILA
Nan Guan
City University of Hong Kong
Co-author 4
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