Mingyang Yi
13 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (36)
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Century Club · Bronze
🔥
Unstoppable · Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory · Machine Learning
(9)
Deep Learning
(8)
Learning Types · Machine Learning
(7)
Application Areas
(6)
Artificial Intelligence
(3)
Learning Types · Deep Learning
(3)
Models
(3)
Computer Vision
(2)
Core AI · Artificial Intelligence
(2)
Optimization & Theory · Deep Learning
(2)
Techniques
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Keywords
adversarial training
(3)
out-of-distribution generalization
(3)
diffusion probabilistic model
(3)
data augmentation
(2)
domain generalization
(2)
batch normalization
(2)
image generation
(2)
minimax optimization
(2)
generative model
(2)
generalization bound
(2)
benchmark evaluation
(1)
stochastic gradient descent
(1)
token selection
(1)
conditional generation
(1)
model compression
(1)
self-supervised learning
(1)
contrastive learning
(1)
neural network optimization
(1)
model adaptation
(1)
text-to-image generation
(1)
Papers
Improved Diffusion-based Generative Model with Better Adversarial Robustness
ICLR 2025
TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning
ICCV 2025
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
NeurIPS 2024
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark
NeurIPS 2024
Breaking Correlation Shift via Conditional Invariant Regularizer
ICLR 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
NeurIPS 2023
Towards the Generalization of Contrastive Self-Supervised Learning
ICLR 2023
Accelerating training of batch normalization: A manifold perspective
UAI 2022
Characterization of Excess Risk for Locally Strongly Convex Population Risk
NeurIPS 2022
Out-of-Distribution Generalization With Causal Invariant Transformations
CVPR 2022
Improved OOD Generalization via Adversarial Training and Pretraing
ICML 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
ICLR 2021
BN-invariant Sharpness Regularizes the Training Model to Better Generalization
IJCAI 2019