Yisong Xiao - RankMe

29 papers A* 2A 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CAMT: A novel symmetric cross-modal adaptive modulation framework for RGB-T tracking. Neurocomputing Yisong Xiao, Guixi Liu, Hanlin Huang, Ruke Xiong, Yinghao Li, Qian Lu, Zhiyu Wu
2026	J	`jnl`	DualFormer: A dual-branch transformer framework for frame-event tracking with complementary fusion attention and sparse spatial channel attention. Eng. Appl. Artif. Intell. Ruke Xiong, Guixi Liu, Hanlin Huang, Yinghao Li, Qian Lu, Yisong Xiao, Zhiyu Wu
2026	J	`jnl`	Evolving Deception: When Agents Evolve, Deception Wins. CoRR Zonghao Ying, Haowen Dai, Tianyuan Zhang, Yisong Xiao, Quanchen Zou, Aishan Liu, Jian Yang, Yaodong Yang, Xianglong Liu
2026	J	`jnl`	Improving Safety Alignment via Balanced Direct Preference Optimization. CoRR Shiji Zhao, Mengyang Wang, Shukun Xiong, Fangzhou Chen, Qihui Zhu, Shouwei Ruan, Yisong Xiao, Ranjie Duan, Xun Chen, Xingxing Wei
2026	J	`jnl`	Reasoning-Oriented Programming: Chaining Semantic Gadgets to Jailbreak Large Vision Language Models. CoRR Quanchen Zou, Moyang Chen, Zonghao Ying, Wenzhuo Xu, Yisong Xiao, Deyue Zhang, Dongdong Yang, Zhao Liu, Xiangzheng Zhang
2025	A*	`conf`	BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. ICSE Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao
2025	J	`jnl`	Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing. CoRR Yisong Xiao, Aishan Liu, Siyuan Liang, Zonghao Ying, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models. CoRR Yisong Xiao, Aishan Liu, Siyuan Liang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models. Proc. ACM Softw. Eng. Yisong Xiao, Aishan Liu, Siyuan Liang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. Int. J. Comput. Vis. Yisong Xiao, Xianglong Liu, Qianjia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Aishan Liu, Dacheng Tao
2025	J	`jnl`	Pre-trained Trojan Attacks for Visual Recognition. Int. J. Comput. Vis. Aishan Liu, Xianglong Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xiaochun Cao, Dacheng Tao
2025	—	`conf`	Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models. EMNLP (Findings) Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models. CoRR Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Uncovering Strategic Egoism Behaviors in Large Language Models. CoRR Yaoyuan Zhang, Aishan Liu, Zonghao Ying, Xianglong Liu, Jiangfan Liu, Yisong Xiao, Qihang Zhang
2024	J	`jnl`	BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. CoRR Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao
2024	J	`jnl`	GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. CoRR Yisong Xiao, Aishan Liu, Qianjia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	Improving Deepfake Detection Generalization by Invariant Risk Minimization. IEEE Trans. Multim. Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu
2024	J	`jnl`	LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. CoRR Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao
2023	J	`jnl`	Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection. CoRR Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, Lu Wang
2023	J	`jnl`	Benchmarking the Robustness of Quantized Models. CoRR Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin
2023	J	`jnl`	Boosting Cross-task Transferability of Adversarial Patches with Visual Relations. CoRR Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu
2023	A*	`conf`	Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. ACM Multimedia Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
2023	J	`jnl`	Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. CoRR Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
2023	A	`conf`	Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. ISSTA Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
2023	J	`jnl`	Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. CoRR Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
2023	J	`jnl`	Pre-trained Trojan Attacks for Visual Recognition. CoRR Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao
2023	J	`jnl`	RobustMQ: Benchmarking Robustness of Quantized Models. CoRR Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
2023	J	`jnl`	RobustMQ: benchmarking robustness of quantized models. Vis. Intell. Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
2021	—	`conf`	Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. AdvM @ ACM Multimedia Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin