Chen Henry Wu

According to our database1, Chen Henry Wu authored at least 19 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion Models.
CoRR, 2024

Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning.
CoRR, 2023

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting.
CoRR, 2023

Semantic Image Attack for Visual Model Diagnosis.
CoRR, 2023

Selective Annotation Makes Language Models Better Few-Shot Learners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ITI-Gen: Inclusive Text-to-Image Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zero-Shot Model Diagnosis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance.
CoRR, 2022

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Summ$^N$: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training.
CoRR, 2021

Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues.
CoRR, 2021

Transferable Persona-Grounded Dialogues via Grounded Minimal Edits.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021


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