Dingli Yu
12 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29) 🌍 Conference Polyglot · Bronze 🗃️ Keyword Collector (66)
❓
The Questioner
(2)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(7)
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI
(5)
Application Areas
(3)
Core Methods
(3)
Learning Types
(3)
Optimization & Theory · Deep Learning
(3)
Techniques
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Architectures
(1)
Generation
(1)
Keywords
neural tangent kernel
(3)
vision-language model
(2)
visual question answering
(2)
benchmark evaluation
(1)
image generation
(1)
label noise
(1)
few-shot learning
(1)
feature attribution
(1)
hyperparameter transfer
(1)
compositional generalization
(1)
model interpretability
(1)
safety alignment
(1)
kernel regression
(1)
feature space
(1)
gradient descent
(1)
image captioning
(1)
distribution shift
(1)
early stopping
(1)
mixing time
(1)
feature learning
(1)
Papers
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
ICML 2025
Weak-to-Strong Generalization Even in Random Feature Networks, Provably
ICML 2025
Can Models Learn Skill Composition from Examples?
NeurIPS 2024
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
NeurIPS 2024
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
NeurIPS 2024
SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
ICLR 2024
Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks
ICLR 2024
A Kernel-Based View of Language Model Fine-Tuning
ICML 2023
Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay
NeurIPS 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
NeurIPS 2022
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
ICLR 2020
Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee
ICLR 2020