| 2026 | AAAI | Multimodal Robust Prompt Distillation for 3D Point Cloud Models. | Xiang Gu, Liming Lu, Xu Zheng, Anan Du, Yongbin Zhou, Shuchao Pang |
| 2026 | ACISP | TIDE: Making Task-Agnostic Backdoors Harder to Erase in Pre-trained Language Models. | Yan Meng, Zhigang Lu, Bing Li, Anan Du, Shuchao Pang |
| 2025 | ICCV | Ciard: Cyclic Iterative Adversarial Robustness Distillation. | Liming Lu, Shuchao Pang, Xu Zheng, Xiang Gu, Anan Du, Yunhuai Liu, Yongbin Zhou |
| 2025 | ICCV | Towards a 3D Transfer-Based Black-Box Attack via Critical Feature Guidance. | Shuchao Pang, Zhenghan Chen, Shen Zhang, Liming Lu, Siyuan Liang, Anan Du, Yongbin Zhou |
| 2024 | ADMA | ADDM: Adversarial Defenses with Diffusion Model for Medical Imaging Data Mining. | Yimin He, Shuchao Pang, Anan Du, Hechang Chen, Lele Cong, Mehmet A. Orgun |
| 2024 | ECAI | Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models. | Xiang Gu, Shuchao Pang, Anan Du, Yifei Wang, Jixiang Miao, Jorge Dez |
| 2023 | ADMA | Point-Level Label-Free Segmentation Framework for 3D Point Cloud Semantic Mining. | Anan Du, Shuchao Pang, Mehmet A. Orgun |
| 2023 | DSAA | A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images. | Junyao Hu, Yimin He, Weiyu Zhang, Shuchao Pang, Ruhao Ma, Anan Du |
| 2020 | ICIP | Exploring Long-Short-Term Context For Point Cloud Semantic Segmentation. | Anan Du, Shuchao Pang, Xiaoshui Huang, Jian Zhang, Qiang Wu |
| 2019 | ICIP | Kpsnet: Keypoint Detection and Feature Extraction for Point Cloud Registration. | Anan Du, Xiaoshui Huang, Jian Zhang, Lingxiang Yao, Qiang Wu |