Scholar
Ying Shen
Google Scholar ID: NytpXgwAAAAJ
Ph.D. Student of Computer Science, University of Illinois Urbana-Champaign
Citations & Impact
Citations
2,102
H-index
10
i10-index
10
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer
- - LLM Braces: Straightening Out LLM Predictions with Relevant Sub-Updates
- - Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
- - Many-to-many Image Generation with Auto-regressive Diffusion Models
- - InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States
- - Recipient of the Amazon-VT Fellowship for the 2023-2024 academic year
Research Experience
- - Machine Learning Research Intern, Apple, May 2025 – Sep 2025, Cupertino, CA
- - Machine Learning Research Intern, Apple, May 2023 – Aug 2023, New York, NY
- - Research Associate, Language Technologies Institute, Carnegie Mellon University, Jan 2019 – Dec 2019, Pittsburgh, PA
- - Graduate Research Assistant, MultiComp Laboratory, Carnegie Mellon University, worked with Prof. Louis-Philippe Morency and Prof. Graham Neubig
Education
- - Ph.D. in Computer Science, Present, University of Illinois Urbana-Champaign
- - Ph.D. in Computer Science, 2024, Virginia Tech, advised by Prof. Lifu Huang and Prof. Ismini Lourentzou
- - MSc in Intelligent Information Systems, 2018, Carnegie Mellon University
- - BEng in Software Engineering, 2017, School of Software Engineering, Fudan University
Background
- Research Interests: Multimodal Interaction, Deep Learning, Multimodal Machine Learning, Deep Generative Models, Natural Language Processing, Computer Vision. Summary: Focused on developing efficient, controllable, adaptive, and interactive multimodal generative models to build robust AI agents capable of understanding, interpreting, and reasoning about the physical world.
Co-authors