Xiangyuan Yang

According to our database, Xiangyuan Yang authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

Enhancing the Policy Generalization on OOD Tasks via Latent Variable Distribution Enhancement Sampler.

Shaobo Li, Jie Lin, Xiangyuan Yang, Hanlin Zhang, Peng Zhao

IEEE Trans. Neural Networks Learn. Syst., March, 2026

Object style diffusion for generalized object detection in urban scene.

Hao Li, Xiangyuan Yang, Mengzhu Wang, Long Lan, Ke Liang, Xinwang Liu, Kenli Li

Pattern Recognit., 2026

Diff-V2M: A Hierarchical Conditional Diffusion Model with Explicit Rhythmic Modeling for Video-to-Music Generation.

Shulei Ji, Zihao Wang, Jiaxing Yu, Xiangyuan Yang, Shuyu Li, Songruoyao Wu, Kejun Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking the optimization objective for transferable adversarial examples from a fuzzy perspective.

Xiangyuan Yang, Jie Lin, Hanlin Zhang, Peng Zhao

Neural Networks, 2025

Enhancing adversarial transferability via transformation inference.

Jiaxin Hu, Jie Lin, Xiangyuan Yang, Hanlin Zhang, Peng Zhao

Neural Networks, 2025

2024

Improving query efficiency of black-box attacks via the preference of deep learning models.

Xiangyuan Yang, Jie Lin, Hanlin Zhang, Peng Zhao

Inf. Sci., 2024

Adversarial Detection with a Dynamically Stable System.

Xiaowei Long, Jie Lin, Xiangyuan Yang

CoRR, 2024

An auxiliary correction model implemented by the Correction Property of intermediate layer against adversarial examples.

Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao

Appl. Soft Comput., 2024

2023

Improving the transferability of adversarial examples via direction tuning.

Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao

Inf. Sci., November, 2023

Fuzziness-tuned: Improving the Transferability of Adversarial Examples.

Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao

CoRR, 2023

A Multi-Stage Triple-Path Method For Speech Separation in Noisy and Reverberant Environments.

Zhaoxi Mu, Xinyu Yang, Xiangyuan Yang, Wenjing Zhu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples.

Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao

CoRR, 2022

Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network.

Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao

CoRR, 2022

Enhancing the Transferability of Adversarial Examples via a Few Queries.

Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao

CoRR, 2022