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)

Multi-Task Adversarial Attack. - Pengxin Guo; Yuancheng Xu; Baijiong Lin; Yu Zhang 006 (CoRR, 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)

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)

Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. - Yuancheng Xu; Yanchao Sun; Micah Goldblum; Tom Goldstein; Furong Huang (ICLR, 2023)

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. - Xiaoyu Liu 003; Jiaxin Yuan; Bang An 001; Yuancheng Xu; Yifan Yang 006; Furong Huang (NeurIPS, 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 001; Furong Huang (CoRR, 2023)

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. - Xiyao Wang; Yuhang Zhou; Xiaoyu Liu 003; Hongjin Lu; Yuancheng Xu; Feihong He; Jaehong Yoon; Taixi Lu; Fuxiao Liu; Gedas Bertasius; Mohit Bansal; Huaxiu Yao; et al. (ACL (1), 2024)

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. - Mucong Ding; Bang An 001; Yuancheng Xu; Anirudh Satheesh; Furong Huang (ICLR, 2024)

WAVES: Benchmarking the Robustness of Image Watermarks. - Bang An 001; Mucong Ding; Tahseen Rabbani; Aakriti Agrawal; Yuancheng Xu; Chenghao Deng; Sicheng Zhu; Abdirisak Mohamed; Yuxin Wen; Tom Goldstein; Furong Huang (ICML, 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 001; Furong Huang (ICML, 2024)

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models. - Yuancheng Xu; Jiarui Yao; Manli Shu; Yanchao Sun; Zichu Wu; Ning Yu 006; Tom Goldstein; Furong Huang (NeurIPS, 2024)

Benchmarking the Robustness of Image Watermarks. - Bang An 001; Mucong Ding; Tahseen Rabbani; Aakriti Agrawal; Yuancheng Xu; Chenghao Deng; Sicheng Zhu; Abdirisak Mohamed; Yuxin Wen; Tom Goldstein; Furong Huang (CoRR, 2024)

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. - Xiyao Wang; Yuhang Zhou; Xiaoyu Liu 003; Hongjin Lu; Yuancheng Xu; Feihong He; Jaehong Yoon; Taixi Lu; Gedas Bertasius; Mohit Bansal; Huaxiu Yao; Furong Huang (CoRR, 2024)

Calibrated Dataset Condensation for Faster Hyperparameter Search. - Mucong Ding; Yuancheng Xu; Tahseen Rabbani; Xiaoyu Liu 003; Brian J. Gravelle; Teresa M. Ranadive; Tai-Ching Tuan; Furong Huang (CoRR, 2024)

Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. - Bang An 001; Sicheng Zhu; Ruiyi Zhang 002; Michael-Andrei Panaitescu-Liess; Yuancheng Xu; Furong Huang (CoRR, 2024)

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 (CoRR, 2024)

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? - Michael-Andrei Panaitescu-Liess; Zora Che; Bang An 001; Yuancheng Xu; Pankayaraj Pathmanathan; Souradip Chakraborty; Sicheng Zhu; Tom Goldstein; Furong Huang (AAAI, 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; et al. (CVPR, 2025)

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment. - Yuancheng Xu; Udari Madhushani Sehwag; Alec Koppel; Sicheng Zhu; Bang An 001; Furong Huang; Sumitra Ganesh (ICLR, 2025)

PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model. - Baijiong Lin; Weisen Jiang; Yuancheng Xu; Hao Chen; Ying-Cong Chen (CoRR, 2025)