Runqi Lin

According to our database, Runqi Lin authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Mobile-VTON: High-Fidelity On-Device Virtual Try-On.

Zhenchen Wan, Ce Chen, Runqi Lin, Jiaxin Huang, Tianxi Chen, Yanwu Xu, Tongliang Liu, Mingming Gong

CoRR, March, 2026

Mirage2Matter: A Physically Grounded Gaussian World Model from Video.

Zhengqing Gao, Ziwen Li, Xin Wang, Jiaxin Huang, Zhenyang Ren, Mingkai Shao, Hanlue Zhang, Tianyu Huang, Yongkang Cheng, Yandong Guo, Runqi Lin, Yuanyuan Wang, Tongliang Liu, Kun Zhang, Mingming Gong

CoRR, February, 2026

2025

Time-Efficient Evaluation and Enhancement of Adversarial Robustness in Deep Neural Networks.

Runqi Lin

CoRR, December, 2025

PosA-VLA: Enhancing Action Generation via Pose-Conditioned Anchor Attention.

Ziwen Li, Xin Wang, Hanlue Zhang, Runnan Chen, Runqi Lin, Xiao He, Han Huang, Yandong Guo, Fakhri Karray, Tongliang Liu, Mingming Gong

CoRR, December, 2025

FORCE: Transferable Visual Jailbreaking Attacks via Feature Over-Reliance CorrEction.

Runqi Lin, Alasdair Paren, Suqin Yuan, Muyang Li, Philip Torr, Adel Bibi, Tongliang Liu

CoRR, September, 2025

Understanding and Enhancing the Transferability of Jailbreaking Attacks.

Runqi Lin, Bo Han, Fengwang Li, Tongling Liu

CoRR, February, 2025

Instance-dependent Early Stopping.

Suqin Yuan, Runqi Lin, Lei Feng, Bo Han, Tongliang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding and Enhancing the Transferability of Jailbreaking Attacks.

Runqi Lin, Bo Han, Fengwang Li, Tongliang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency.

Runqi Lin, Chaojian Yu, Bo Han, Hang Su, Tongliang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Over-Memorization During Natural, Robust and Catastrophic Overfitting.

Runqi Lin, Chaojian Yu, Bo Han, Tongliang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization.

Runqi Lin, Chaojian Yu, Tongliang Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023