Tong Yu

Affiliations

Adobe Research

papers

457

total citations

papers (13)

Towards Language-Free Training for Text-to-Image Generation

CVPR 2022arXiv

209

citations

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models

CVPR 2023arXiv

122

citations

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

NEURIPS 2023arXiv

citations

Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention

CVPR 2022arXiv

citations

Online Corrupted User Detection and Regret Minimization

NEURIPS 2023arXiv

citations

In-context Ranking Preference Optimization

COLM 2025arXiv

citations

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality

ICML 2025arXiv

citations

Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction

NEURIPS 2025arXiv

citations

EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval

CVPR 2022

citations

Editing Partially Observable Networks via Graph Diffusion Models

ICML 2024

citations

Tong Yu

Affiliations

papers (13)

Towards Language-Free Training for Text-to-Image Generation

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels

Numerical Pruning for Efficient Autoregressive Models

Causal Discovery in Semi-Stationary Time Series

Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention

Online Corrupted User Detection and Regret Minimization

In-context Ranking Preference Optimization

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality

Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction

EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval

Editing Partially Observable Networks via Graph Diffusion Models

papers (13)

Towards Language-Free Training for Text-to-Image Generation

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels

Numerical Pruning for Efficient Autoregressive Models

Causal Discovery in Semi-Stationary Time Series

Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention

Online Corrupted User Detection and Regret Minimization

In-context Ranking Preference Optimization

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality

Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction

EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval

Editing Partially Observable Networks via Graph Diffusion Models