| 2026 | AAAI | False Positives Matter: Multidimensional Localization Evaluation and Training-Free Explainable Adversarial Patch Defense. | Lihua Jing, Rui Wang, Jinwen Zhong, Runbo Li, Zixuan Zhu |
| 2025 | AAAI | Revisiting Change Captioning from Self-supervised Global-Part Alignment. | Feixiao Lv, Rui Wang, Lihua Jing |
| 2025 | AAAI | Attention-Imperceptible Backdoor Attacks on Vision Transformers. | Zhishen Wang, Rui Wang, Lihua Jing |
| 2025 | CVPR | EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection. | Ming Sun, Rui Wang, Zixuan Zhu, Lihua Jing, Yuanfang Guo |
| 2025 | ICASSP | Frequency-Space Margin Perception for Open Set Knowledge Distillation. | Lijun Liu, Lihua Jing, Rui Wang, Yuan Wang, Zhishen Wang |
| 2025 | ICASSP | GPT-C: Generative PrompT Compression. | Lijun Liu, Rui Wang, Lihua Jing, Feixiao Lv, Zixuan Zhu |
| 2025 | ICCV | Inter: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling. | Xin Dong, Shichao Dong, Jin Wang, Jing Huang, Li Zhou, Zenghui Sun, Lihua Jing, Jinsong Lan, Xiaoyong Zhu, Bo Zheng |
| 2025 | IJCAI | Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning. | Minghao Li, Rui Wang, Ming Sun, Lihua Jing |
| 2025 | IJCAI | Find and Perceive: Tell Visual Change with Fine-Grained Comparison. | Feixiao Lv, Rui Wang, Lihua Jing, Lijun Liu |
| 2025 | ICRA | Multi-Task Robustness Enhancement Framework against Various Adversarial Patches. | Lihua Jing, Rui Wang, Runbo Li, Zixuan Zhu, Xingxing Wei |
| 2024 | AAAI | Frequency Shuffling and Enhancement for Open Set Recognition. | Lijun Liu, Rui Wang, Yuan Wang, Lihua Jing, Chuan Wang |
| 2024 | CVPR | PAD: Patch-Agnostic Defense against Adversarial Patch Attacks. | Lihua Jing, Rui Wang, Wenqi Ren, Xin Dong, Cong Zou |
| 2024 | ECAI | MakeupAttack: Feature Space Black-Box Backdoor Attack on Face Recognition via Makeup Transfer. | Ming Sun, Lihua Jing, Zixuan Zhu, Rui Wang |
| 2024 | MMM | HPattack: An Effective Adversarial Attack for Human Parsing. | Xin Dong, Rui Wang, Sanyi Zhang, Lihua Jing |
| 2023 | ICCV | The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data. | Zixuan Zhu, Rui Wang, Cong Zou, Lihua Jing |