Yuancheng Xu

According to our database, Yuancheng Xu authored at least 27 papers between 2020 and 2026.

Collaborative distances:

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

2026

Vista4D: Video Reshooting with 4D Point Clouds.

Kuan Heng Lin, Zhizheng Liu, Pablo Salamanca, Yash Kant, Ryan Burgert, Yuancheng Xu, Koichi Namekata, Yiwei Zhao, Bolei Zhou, Micah Goldblum, Paul Debevec, Ning Yu

CoRR, April, 2026

DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models.

Zhengming Yu, Li Ma, Mingming He, Leo Isikdogan, Yuancheng Xu, Dmitriy Smirnov, Pablo Salamanca, Dao Mi, Pablo Delgado, Ning Yu, Julien Philip, Xin Li, Wenping Wang, Paul Debevec

CoRR, April, 2026

2025

Towards Robust Optical-SAR Object Detection under Missing Modalities: A Dynamic Quality-Aware Fusion Framework.

Zhicheng Zhao, Yuancheng Xu, Andong Lu, Chenglong Li, Jin Tang

CoRR, December, 2025

PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach.

Udari Madhushani Sehwag, Shayan Shabihi, Alex McAvoy, Vikash Sehwag, Yuancheng Xu, Dalton Towers, Furong Huang

CoRR, November, 2025

Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Multi-View Performance Captures.

Yuancheng Xu, Wenqi Xian, Li Ma, Julien Philip, Ahmet Levent Tasel, Yiwei Zhao, Ryan D. Burgert, Mingming He, Oliver Hermann, Oliver Pilarski, Rahul Garg, Paul E. Debevec, Ning Yu

CoRR, October, 2025

Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Volumetric Performance Captures.

Yuancheng Xu, Wenqi Xian, Li Ma, Julien Philip, Ahmet Levent Tasel, Yiwei Zhao, Ryan D. Burgert, Mingming He, Oliver Hermann, Oliver Pilarski, Rahul Garg, Paul E. Debevec, Ning Yu

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model.

Baijiong Lin, Weisen Jiang, Yuancheng Xu, Hao Chen, Ying-Cong Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment.

Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension.

Xiyao Wang, Zhengyuan Yang, Linjie Li, Hongjin Lu, Yuancheng Xu, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise.

Ryan D. Burgert, Yuancheng Xu, Wenqi Xian, Oliver Pilarski, Pascal Clausen, Mingming He, Li Ma, Yitong Deng, Lingxiao Li, Mohsen Mousavi, Michael S. Ryoo, Paul E. Debevec, Ning Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?

Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models.

Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang

CoRR, 2024

Calibrated Dataset Condensation for Faster Hyperparameter Search.

Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang

CoRR, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang

CoRR, 2024

Benchmarking the Robustness of Image Watermarks.

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

CoRR, 2024

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models.

Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate.

Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

WAVES: Benchmarking the Robustness of Image Watermarks.

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation.

Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making.

Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang

CoRR, 2023

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder.

Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness.

Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Weed Detection in Images of Carrot Fields Based on Improved YOLO v4.

Boyu Ying, Yuancheng Xu, Shuai Zhang, Yinggang Shi, Li Liu

Traitement du Signal, 2021

2020

Efficient Coarse Registration of Pairwise TLS Point Clouds Using Ortho Projected Feature Images.

Hua Liu, Xiaoming Zhang, Yuancheng Xu, Xiaoyong Chen

ISPRS Int. J. Geo Inf., 2020

Multi-Task Adversarial Attack.

Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang

CoRR, 2020

FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features.

Yuancheng Xu, Athanasse Zafirov, R. Michael Alvarez, Dan Kojis, Min Tan, Christina M. Ramirez

CoRR, 2020