Yunhan Zhao

According to our database, Yunhan Zhao authored at least 29 papers between 2017 and 2026.

Collaborative distances:

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

2026

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning.

Binghang Lu, Zheyuan Deng, Runyu Zhang, Bing Hu, Yunhan Zhao, Yuan Tian, Changhong Mou, Guang Lin, Xiaomin Li

CoRR, May, 2026

Chain of Risk: Safety Failures in Large Reasoning Models and Mitigation via Adaptive Multi-Principle Steering.

Xiaomin Li, Jianheng Hou, Zheyuan Deng, Zhiwei Zhang, Taoran Li, Binghang Lu, Bin Hu, Yunhan Zhao, Yuexing Hao

CoRR, May, 2026

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses.

Xiao Li, Xiang Zheng, Yifeng Gao, Xinyu Xia, Yixu Wang, Xin Wang, Ye Sun, Yunhan Zhao, Ming Wen, Jiayu Li, Zixing Chen, Xun Gong, Yi Liu, Yige Li, Yutao Wu, Cong Wang, Jun Sun, Yixin Cao, Zhineng Chen, Jingjing Chen, Tao Gui, Qi Zhang, Zuxuan Wu, Xipeng Qiu, Xuanjing Huang, Tiehua Zhang, Zhipeng Wei, Kun Wang, Xinfeng Li, Hanxun Huang, Sarah Erfani, James Bailey, Jianping Wang, Chaowei Xiao, Ran He, Bo Li, Xingjun Ma, Yu-Gang Jiang

CoRR, May, 2026

ML-Bench&Guard: Policy-Grounded Multilingual Safety Benchmark and Guardrail for Large Language Models.

Yunhan Zhao, Zhaorun Chen, Xingjun Ma, Yu-Gang Jiang, Bo Li

CoRR, May, 2026

HazardArena: Evaluating Semantic Safety in Vision-Language-Action Models.

Zixing Chen, Yifeng Gao, Li Wang, Yunhan Zhao, Yi Liu, Jiayu Li, Xiang Zheng, Zuxuan Wu, Cong Wang, Xingjun Ma, Yu-Gang Jiang

CoRR, April, 2026

Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs.

Yige Li, Wei Zhao, Zhe Li, Nay Myat Min, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Yu-Gang Jiang, Jun Sun

CoRR, March, 2026

Generating a Paracosm for Training-Free Zero-Shot Composed Image Retrieval.

Tong Wang, Yunhan Zhao, Shu Kong

CoRR, February, 2026

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5.

Xingjun Ma, Yixu Wang, Hengyuan Xu, Yutao Wu, Yifan Ding, Yunhan Zhao, Zilong Wang, Jiabin Hua, Ming Wen, Jianan Liu, Ranjie Duan, Yifeng Gao, Yingshui Tan, Yunhao Chen, Hui Xue, Xin Wang, Wei Cheng, Jingjing Chen, Zuxuan Wu, Bo Li, Yu-Gang Jiang

CoRR, January, 2026

Defense-to-attack: Bypassing weak defenses enables stronger jailbreaks in Vision-Language Models.

Yunhan Zhao, Xiang Zheng, Yige Li, Xingjun Ma

Pattern Recognit., 2026

2025

AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models.

Jiayu Li, Yunhan Zhao, Xiang Zheng, Zonghuan Xu, Yige Li, Xingjun Ma, Yu-Gang Jiang

CoRR, November, 2025

Defense-to-Attack: Bypassing Weak Defenses Enables Stronger Jailbreaks in Vision-Language Models.

Yunhan Zhao, Xiang Zheng, Xingjun Ma

CoRR, September, 2025

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning.

Yifeng Gao, Yifan Ding, Hongyu Su, Juncheng Li, Yunhan Zhao, Lin Luo, Zixing Chen, Li Wang, Xin Wang, Yixu Wang, Xingjun Ma, Yu-Gang Jiang

CoRR, June, 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, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang

CoRR, February, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Solving Instance Detection from an Open-World Perspective.

Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong

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

2024

Leveraging Depth for 3D Scene Perception

Yunhan Zhao

PhD thesis, 2024

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models.

Yige Li, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Jun Sun

CoRR, 2024

Anomaly Detection of Tabular Data Using LLMs.

Aodong Li, Yunhan Zhao, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt

CoRR, 2024

Instance Tracking in 3D Scenes from Egocentric Videos.

Yunhan Zhao, Haoyu Ma, Shu Kong, Charless C. Fowlkes

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

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

GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding.

Yunhan Zhao, Connelly Barnes, Yuqian Zhou, Eli Shechtman, Sohrab Amirghodsi, Charless C. Fowlkes

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

A High-Resolution Dataset for Instance Detection with Multi-View Object Capture.

Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong

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

2022

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

2021

Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias.

Yunhan Zhao, Shu Kong, Charless C. Fowlkes

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding.

Yunhan Zhao, Shu Kong, Charless C. Fowlkes

CoRR, 2020

Resisting Large Data Variations via Introspective Transformation Network.

Yunhan Zhao, Ye Tian, Charless C. Fowlkes, Wei Shen, Alan L. Yuille

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation.

Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Spatial Transformer Introspective Neural Network.

Yunhan Zhao, Ye Tian, Wei Shen, Alan L. Yuille

CoRR, 2018

2017

Stretching Domain Adaptation: How far is too far?

Yunhan Zhao, Haider Ali, René Vidal

CoRR, 2017