YingJie Tian
7 papers · 2016–2024 · 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
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🏆
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Application Areas
(3)
Models
(3)
Computer Vision
(2)
Core Methods
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Analysis
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Processing
(1)
Techniques
(1)
Keywords
generative adversarial network
(2)
label proportion
(2)
adversarial learning
(2)
attention mechanism
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
image translation
(1)
visual representation
(1)
image-to-image translation
(1)
constrained optimization
(1)
partial label learning
(1)
kullback-leibler divergence
(1)
bilevel optimization
(1)
disentangled representation
(1)
dataset distillation
(1)
latent diffusion
(1)
feature augmentation
(1)
latent diffusion model
(1)
learning from label proportion
(1)
synthetic dataset
(1)
Papers
D^4: Dataset Distillation via Disentangled Diffusion Model
CVPR 2024
Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes
AAAI 2024
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
ICML 2022
Multi-view Feature Augmentation with Adaptive Class Activation Mapping
IJCAI 2021
Two-stage Training for Learning from Label Proportions
IJCAI 2021
Learning from Label Proportions with Generative Adversarial Networks
NeurIPS 2019
Unsupervised Feature Learning from Time Series
IJCAI 2016