| 2026 | AAAI | Anti-adversarial Learning: Desensitizing Prompts for Large Language Model. | Xuan Li, Zhe Yin, Xiaodong Gu, Beijun Shen |
| 2025 | AAAI | Enhancing Generalizability via Utilization of Unlabeled Data for Occupancy Perception. | Ruihang Li, Tao Li, Shanding Ye, Kaikai Xiao, Huangnan Zheng, Zhe Yin, Zhijie Pan |
| 2025 | ECAI | SPOFormer: Enhancing Prior Learning for Multi-View 3D Occupancy Perception via Semantic-Aware Attention. | Ruihang Li, Huangnan Zheng, Zhe Yin, Kaikai Xiao, Hong Li, Zhijie Pan |
| 2025 | IJCNN | CFD: A Novel Cylindrical Feature Fusion and Mapping Pipeline for Multi-view Self-Supervised Depth Estimation. | Ruihang Li, Tao Li, Zhe Yin, Huangnan Zheng, Kaikai Xiao, Zhijie Pan |
| 2024 | IJCNN | CRTGAN: Controllable Road Network Graphs Generation via Transformer based GAN. | Tao Li, Ruihang Li, Shanding Ye, Zehua Zhang, Zhe Yin, Shijian Li, Zhijie Pan |
| 2024 | SDM | A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System. | Lisha Ye, Jianfeng Zhou, Zhe Yin, Kunpeng Han, Haoyuan Hu, Dongjin Song |
| 2004 | SMC | Research on combined framework and measurement design of parallel kinematic machines (PKM) digital prototyping. | Fan Zhang, Zhe Yin, Liwen Guan, Liping Wang |