Stretching Domain Adaptation: How far is too far? - Yunhan Zhao; Haider Ali 002; René Vidal (CoRR, 2017)

Spatial Transformer Introspective Neural Network. - Yunhan Zhao; Ye Tian; Wei Shen 002; Alan L. Yuille (CoRR, 2018)

Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. - Yunhan Zhao; Shu Kong; Daeyun Shin; Charless C. Fowlkes (CVPR, 2020)

Resisting Large Data Variations via Introspective Transformation Network. - Yunhan Zhao; Ye Tian; Charless C. Fowlkes; Wei Shen 002; Alan L. Yuille (WACV, 2020)

When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding. - Yunhan Zhao; Shu Kong; Charless C. Fowlkes (CoRR, 2020)

Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias. - Yunhan Zhao; Shu Kong; Charless C. Fowlkes (CVPR, 2021)

GeoFill: Reference-Based Image Inpainting of Scenes with Complex Geometry. - Yunhan Zhao; Connelly Barnes; Yuqian Zhou; Eli Shechtman; Sohrab Amirghodsi; Charless C. Fowlkes (CoRR, 2022)

A High-Resolution Dataset for Instance Detection with Multi-View Object Capture. - Qianqian Shen; Yunhan Zhao; Nahyun Kwon; Jeeeun Kim; Yanan Li; Shu Kong (NeurIPS, 2023)

GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding. - Yunhan Zhao; Connelly Barnes; Yuqian Zhou; Eli Shechtman; Sohrab Amirghodsi; Charless C. Fowlkes (WACV, 2023)

A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture. - Qianqian Shen; Yunhan Zhao; Nahyun Kwon; Jeeeun Kim; Yanan Li; Shu Kong (CoRR, 2023)

Instance Tracking in 3D Scenes from Egocentric Videos. - Yunhan Zhao; Haoyu Ma; Shu Kong; Charless C. Fowlkes (CVPR, 2024)

Anomaly Detection of Tabular Data Using LLMs. - Aodong Li; Yunhan Zhao; Chen Qiu 001; Marius Kloft; Padhraic Smyth; Maja Rudolph; Stephan Mandt (CoRR, 2024)

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models. - Yige Li; Hanxun Huang; Yunhan Zhao; Xingjun Ma; Jun Sun 001 (CoRR, 2024)

Leveraging Depth for 3D Scene Perception - Yunhan Zhao (2024)

Solving Instance Detection from an Open-World Perspective. - Qianqian Shen; Yunhan Zhao; Nahyun Kwon; Jeeeun Kim; Yanan Li; Shu Kong (CVPR, 2025)

BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks. - Yunhan Zhao; Xiang Zheng; Lin Luo; Yige Li; Xingjun Ma; Yu-Gang Jiang 001 (ICLR, 2025)

Safety at Scale: A Comprehensive Survey of Large Model Safety. - Xingjun Ma; Yifeng Gao; Yixu Wang; Ruofan Wang; Xin Wang; Ye Sun; Yifan Ding; Hengyuan Xu; Yunhao Chen; Yunhan Zhao; Hanxun Huang; Yige Li; et al. (CoRR, 2025)

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning. - Yifeng Gao; Yifan Ding; Hongyu Su; Juncheng Li 018; Yunhan Zhao; Lin Luo; Zixing Chen; Li Wang; Xin Wang; Yixu Wang; Xingjun Ma; Yu-Gang Jiang (CoRR, 2025)