Bingyao Yu

I am currently a postdoctoral fellow in the Department of Automation at Tsinghua University, supervised by Prof. Jiwen Lu. Prior to that, I obtained my Ph.D degree from Tsinghua University in 2023, advised by Prof. Jiwen Lu, Prof. Jie Zhou and Prof. Xiu Li. In 2018, I received my BS degree from the Department of Automation, Tsinghua University. My current research focuses on AI safety and Embodied Intelligence.

Email / Google Scholar / Github

Publications

	R2RGen: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation Xiuwei Xu, Angyuan Ma, Hankun Li, Bingyao Yu, Zheng Zhu, Jie Zhou, Jiwen Lu Robotics: Science and Systems (RSS), 2026 [Paper]
	UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection Yanran Zhang, Wenzhao Zheng, Yifei Li, Bingyao Yu, Yu Zheng, Lei Chen, Jiwen Lu, Jie Zhou The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 [Paper]
	Toward Generalizable Forgery Detection and Reasoning Yueying Gao, Dongliang Chang, Bingyao Yu, Haotian Qin, Muxi Diao, Lei Chen, Kongming Liang, Zhanyu Ma IEEE Transactions on Image Processing (TIP), 2026 [Paper]
	AdaParse: Personalized Fingerprinting for Visual Generative Model Reverse Engineering Yu Zheng, Zhuoxun Li, Bingyao Yu, Jie Zhou, Jiwen Lu IEEE Transactions on Information Forensics and Security (TIFS), 2026 [Paper]
	WhiADD: Semantic-Acoustic Fusion for Robust Audio Deepfake Detection Jianqiao Cui, Bingyao Yu, Qihao Wang, Fei Meng, Jiwen Lu ACM International Conference on Multimedia (ACMMM), 2025 [Paper]
	D3QE: Learning Discrete Distribution Discrepancy-Aware Quantization Error for Autoregressive-Generated Image Detection Yanran Zhang, Bingyao Yu, Yu Zheng, Wenzhao Zheng, Yueqi Duan, Lei Chen, Jie Zhou, Jiwen Lu IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [Paper]
	Learning Counterfactually Decoupled Attention for Open-World Model Attribution Yu Zheng, Boyang Gong, Fanye Kong, Yueqi Duan, Bingyao Yu, Wenzhao Zheng, Lei Chen, Jiwen Lu, Jie Zhou IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [Paper]
	Uncertainty-Aware Hierarchical Labeling for Face Forgery Detection Bingyao Yu, Wanhua Li, Xiu Li, Jie Zhou, Jiwen Lu Pattern Recognition (PR), 2024 [Paper]
	Discrepancy-Aware Meta-Learning for Zero-Shot Face Manipulation Detection Bingyao Yu, Xiu Li, Wanhua Li, Jie Zhou, Jiwen Lu IEEE Transactions on Image Processing (TIP), 2023 [Paper]
	A Learnable Gradient Operator for Face Presentation Attack Detection Caixun Wang, Bingyao Yu, Jie Zhou Pattern Recognition (PR), 2023 [Paper]
	TCOVIS: Temporally Consistent Online Video Instance Segmentation Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu IEEE International Conference on Computer Vision (ICCV), 2023 [Paper]
	Salience-Aware Face Presentation Attack Detection via Deep Reinforcement Learning Bingyao Yu, Jiwen Lu, Xiu Li, Jie Zhou IEEE Transactions on Information Forensics and Securit (TIFS), 2021 [Paper]

Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection
Bingyao Yu, Wanhua Li, Xiu Li, Jiwen Lu, Jie Zhou
IEEE International Conference on Computer Vision (ICCV), 2021
[Paper]

Academic Services

Conference Reviewer: CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS, ACM MM, AAAI

Journal Reviewer: T-PAMI, IJCV, T-IP, TIFS, TMM, T-CSVT, T-BIOM, Pattern Recognition

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