| 2026 | ACL | Correct When Paired, Wrong When Split: Decoupling and Editing Modality-Specific Neurons in MLLMs. | Tingchao Fu, Wenkai Wang, Fanxiao Li, Huadong Zhang, Jinhong Zhang, Dayang Li, Yunyun Dong, Renyang Liu, Wei Zhou |
| 2025 | EDUCON | Mine2Twin: a Synergistic Industry-Academia Collaboration to Improve Engineering Skills for Industry 5.0. | Nathalie Risso, Matas Saavedra, Jinhong Zhang |
| 2024 | ICASSP | CNFA: Conditional Normalizing Flow for Query-Limited Attack. | Renyang Liu, Wei Zhou, Jinhong Zhang, Haoran Li, Ruxin Wang |
| 2023 | ICICS | AFLOW: Developing Adversarial Examples Under Extremely Noise-Limited Settings. | Renyang Liu, Jinhong Zhang, Haoran Li, Jin Zhang, Yuanyu Wang, Wei Zhou |
| 2023 | ICICS | Multi-scale Features Destructive Universal Adversarial Perturbations. | Huangxinyue Wu, Haoran Li, Jinhong Zhang, Wei Zhou, Lei Guo, Yunyun Dong |
| 2023 | ICONIP | SCME: A Self-contrastive Method for Data-Free and Query-Limited Model Extraction Attack. | Renyang Liu, Jinhong Zhang, Kwok-Yan Lam, Jun Zhao, Wei Zhou |
| 2023 | SecureComm | Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks. | Renyang Liu, Wei Zhou, Jinhong Zhang, Xiaoyuan Liu, Peiyuan Si, Haoran Li |
| 2022 | ICTAI | Towards Query-limited Adversarial Attacks on Graph Neural Networks. | Haoran Li, Jinhong Zhang, Song Gao, Liwen Wu, Wei Zhou, Ruxin Wang |