Yu Huang
34 papers · 2021–2026 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 32% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yu Huang?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yingbin Liang, Longbo Huang, Yuejie Chi
7 papers
· 2021–2025
· ICML, NeurIPS, ICLR
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A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
ICLR 2025
Accelerating Convergence of Score-Based Diffusion Models, Provably
ICML 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers
NeurIPS 2024
In-context Convergence of Transformers
ICML 2024
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
ICML 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD
NeurIPS 2022
What Makes Multi-Modal Learning Better than Single (Provably)
NeurIPS 2021
8 papers whose co-authors appear nowhere else under this name
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
ACL 2026
Scene Experts: Specializing in 3D Gaussian Splatting with Adaptive Decomposition
AAAI 2026
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
AAAI 2026
XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs
AAAI 2026
Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking?
ACL 2025
BetterV: Controlled Verilog Generation with Discriminative Guidance
ICML 2024
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset
ACL 2023
GAEN: Graph Attention Evolving Networks
IJCAI 2021