Chen Henry Wu

According to our database, Chen Henry Wu authored at least 24 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction.

Vaishnavh Nagarajan, Chen Henry Wu, Charles Ding, Aditi Raghunathan

CoRR, April, 2025

Dissecting Adversarial Robustness of Multimodal LM Agents.

Chen Henry Wu, Rishi Rajesh Shah, Jing Yu Koh, Russ Salakhutdinov, Daniel Fried, Aditi Raghunathan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Adversarial Attacks on Multimodal Agents.

Chen Henry Wu, Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried, Aditi Raghunathan

CoRR, 2024

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

Chen Henry Wu, Fernando De la Torre

CoRR, 2024

Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention.

Jianjin Xu, Saman Motamed, Praneetha Vaddamanu, Chen Henry Wu, Christian Häne, Jean-Charles Bazin, Fernando De la Torre

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning.

Tianbao Xie, Siheng Zhao, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Domain Gap Embeddings for Generative Dataset Augmentation.

Yinong Oliver Wang, Younjoon Chung, Chen Henry Wu, Fernando De la Torre

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning.

Tianbao Xie, Siheng Zhao, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu

CoRR, 2023

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

Saman Motamed, Jianjin Xu, Chen Henry Wu, Fernando De la Torre

CoRR, 2023

Semantic Image Attack for Visual Model Diagnosis.

Jinqi Luo, Zhaoning Wang, Chen Henry Wu, Dong Huang, Fernando De la Torre

CoRR, 2023

Selective Annotation Makes Language Models Better Few-Shot Learners.

Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ITI-Gen: Inclusive Text-to-Image Generation.

Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre

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.

Chen Henry Wu, Fernando De la Torre

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting.

Saman Motamed, Jianjin Xu, Chen Henry Wu, Christian Häne, Jean-Charles Bazin, Fernando De la Torre

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zero-Shot Model Diagnosis.

Jinqi Luo, Zhaoning Wang, Chen Henry Wu, Dong Huang, Fernando De la Torre

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.

Chen Henry Wu, Fernando De la Torre

CoRR, 2022

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models.

Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre

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.

Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization.

Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev

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.

Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang

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.

Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang

CoRR, 2021

Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues.

Chen Henry Wu, Yinhe Zheng, Yida Wang, Zhenyu Yang, Minlie Huang

CoRR, 2021

Transferable Persona-Grounded Dialogues via Grounded Minimal Edits.

Chen Henry Wu, Yinhe Zheng, Xiaoxi Mao, Minlie Huang

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.

Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021