Yisong Xiao

According to our database, Yisong Xiao authored at least 22 papers between 2021 and 2026.

Collaborative distances:

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

2026

Improving Safety Alignment via Balanced Direct Preference Optimization.

Shiji Zhao, Mengyang Wang, Shukun Xiong, Fangzhou Chen, Qihui Zhu, Shouwei Ruan, Yisong Xiao, Ranjie Duan, Xun Chen, Xingxing Wei

CoRR, March, 2026

Reasoning-Oriented Programming: Chaining Semantic Gadgets to Jailbreak Large Vision Language Models.

Quanchen Zou, Moyang Chen, Zonghao Ying, Wenzhuo Xu, Yisong Xiao, Deyue Zhang, Dongdong Yang, Zhao Liu, Xiangzheng Zhang

CoRR, March, 2026

Evolving Deception: When Agents Evolve, Deception Wins.

Zonghao Ying, Haowen Dai, Tianyuan Zhang, Yisong Xiao, Quanchen Zou, Aishan Liu, Jian Yang, Yaodong Yang, Xianglong Liu

CoRR, March, 2026

CAMT: A novel symmetric cross-modal adaptive modulation framework for RGB-T tracking.

Yisong Xiao, Guixi Liu, Hanlin Huang, Ruke Xiong, Yinghao Li, Qian Lu, Zhiyu Wu

Neurocomputing, 2026

DualFormer: A dual-branch transformer framework for frame-event tracking with complementary fusion attention and sparse spatial channel attention.

Ruke Xiong, Guixi Liu, Hanlin Huang, Yinghao Li, Qian Lu, Yisong Xiao, Zhiyu Wu

Eng. Appl. Artif. Intell., 2026

2025

GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing.

Yisong Xiao, Xianglong Liu, QianJia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Aishan Liu, Dacheng Tao

Int. J. Comput. Vis., December, 2025

Uncovering Strategic Egoism Behaviors in Large Language Models.

Yaoyuan Zhang, Aishan Liu, Zonghao Ying, Xianglong Liu, Jiangfan Liu, Yisong Xiao, Qihang Zhang

CoRR, November, 2025

Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing.

Yisong Xiao, Aishan Liu, Siyuan Liang, Zonghao Ying, Xianglong Liu, Dacheng Tao

CoRR, October, 2025

Pre-trained Trojan Attacks for Visual Recognition.

Aishan Liu, Xianglong Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xiaochun Cao, Dacheng Tao

Int. J. Comput. Vis., June, 2025

Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models.

Yisong Xiao, Aishan Liu, Siyuan Liang, Xianglong Liu, Dacheng Tao

Proc. ACM Softw. Eng., 2025

BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks.

Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models.

Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Improving Deepfake Detection Generalization by Invariant Risk Minimization.

Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu

IEEE Trans. Multim., 2024

LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions.

Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao

CoRR, 2024

<i>LanEvil</i>: Benchmarking the Robustness of Lane Detection to Environmental Illusions.

Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

RobustMQ: benchmarking robustness of quantized models.

Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu

Vis. Intell., 2023

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations.

Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu

CoRR, 2023

Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection.

Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, Lu Wang

CoRR, 2023

Benchmarking the Robustness of Quantized Models.

Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

CoRR, 2023

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks.

Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing.

Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2021

Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization.

Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021