Ching-Yao Chuang
13 papers · 2017–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(54)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(6)
Core Methods
(5)
Architectures
(4)
Application Areas
(3)
Learning Types Β· Machine Learning
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Core AI
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Mathematics & Optimization
(1)
Mathematics
(1)
Keywords
representation learning
(4)
generalization bound
(3)
contrastive learning
(3)
optimal transport
(3)
mutual information
(2)
negative sampling
(2)
graph neural network
(2)
metric learning
(2)
domain adaptation
(2)
feature space
(1)
visual reasoning
(1)
video generation
(1)
data augmentation
(1)
distribution shift
(1)
diffusion model
(1)
self-supervised learning
(1)
semantic similarity
(1)
action prediction
(1)
projected gradient descent
(1)
video synthesis
(1)
Papers
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
ICML 2025
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis
CVPR 2024
InfoOT: Information Maximizing Optimal Transport
ICML 2023
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models
NeurIPS 2023
Robust Contrastive Learning Against Noisy Views
CVPR 2022
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
NeurIPS 2022
Contrastive Learning with Hard Negative Samples
ICLR 2021
Fair Mixup: Fairness via Interpolation
ICLR 2021
Measuring Generalization with Optimal Transport
NeurIPS 2021
Debiased Contrastive Learning
NeurIPS 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
ICML 2020
Learning to Act Properly: Predicting and Explaining Affordances From Images
CVPR 2018
Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner
ICCV 2017