Xiangyuan Yang

17 papers A* 1Misc 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Diff-V2M: A Hierarchical Conditional Diffusion Model with Explicit Rhythmic Modeling for Video-to-Music Generation. AAAI Shulei Ji, Zihao Wang, Jiaxing Yu, Xiangyuan Yang, Shuyu Li, Songruoyao Wu, Kejun Zhang
2026	J	`jnl`	Enhancing the Policy Generalization on OOD Tasks via Latent Variable Distribution Enhancement Sampler. IEEE Trans. Neural Networks Learn. Syst. Shaobo Li, Jie Lin, Xiangyuan Yang, Hanlin Zhang, Peng Zhao
2026	J	`jnl`	Object style diffusion for generalized object detection in urban scene. Pattern Recognit. Hao Li, Xiangyuan Yang, Mengzhu Wang, Long Lan, Ke Liang, Xinwang Liu, Kenli Li
2025	J	`jnl`	Enhancing adversarial transferability via transformation inference. Neural Networks Jiaxin Hu, Jie Lin, Xiangyuan Yang, Hanlin Zhang, Peng Zhao
2025	J	`jnl`	Rethinking the optimization objective for transferable adversarial examples from a fuzzy perspective. Neural Networks Xiangyuan Yang, Jie Lin, Hanlin Zhang, Peng Zhao
2024	J	`jnl`	Adversarial Detection with a Dynamically Stable System. CoRR Xiaowei Long, Jie Lin, Xiangyuan Yang
2024	J	`jnl`	An auxiliary correction model implemented by the Correction Property of intermediate layer against adversarial examples. Appl. Soft Comput. Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao
2024	J	`jnl`	Improving query efficiency of black-box attacks via the preference of deep learning models. Inf. Sci. Xiangyuan Yang, Jie Lin, Hanlin Zhang, Peng Zhao
2024	J	`jnl`	Object Style Diffusion for Generalized Object Detection in Urban Scene. CoRR Hao Li, Xiangyuan Yang, Mengzhu Wang, Long Lan, Ke Liang, Xinwang Liu, Kenli Li
2023	Misc	`conf`	A Multi-Stage Triple-Path Method For Speech Separation in Noisy and Reverberant Environments. ICASSP Zhaoxi Mu, Xinyu Yang, Xiangyuan Yang, Wenjing Zhu
2023	J	`jnl`	A Multi-Stage Triple-Path Method for Speech Separation in Noisy and Reverberant Environments. CoRR Zhaoxi Mu, Xinyu Yang, Xiangyuan Yang, Wenjing Zhu
2023	J	`jnl`	Fuzziness-tuned: Improving the Transferability of Adversarial Examples. CoRR Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao
2023	J	`jnl`	Improving the Transferability of Adversarial Examples via Direction Tuning. CoRR Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao
2023	J	`jnl`	Improving the transferability of adversarial examples via direction tuning. Inf. Sci. Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao
2022	J	`jnl`	Enhancing the Transferability of Adversarial Examples via a Few Queries. CoRR Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao
2022	J	`jnl`	FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples. CoRR Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao
2022	J	`jnl`	Mask-Guided Divergence Loss Improves the Generalization and Robustness of Deep Neural Network. CoRR Xiangyuan Yang, Jie Lin, Hanlin Zhang, Xinyu Yang, Peng Zhao