| 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 |
| 2025 | NDSS | GAP-Diff: Protecting JPEG-Compressed Images from Diffusion-based Facial Customization. | Haotian Zhu, Shuchao Pang, Zhigang Lu, Yongbin Zhou, Minhui Xue |
| 2025 | RAID | Reconstruction of Differentially Private Text Sanitization via Large Language Models. | Shuchao Pang, Zhigang Lu, Haichen Wang, Peng Fu, Yongbin Zhou, Minhui Xue |
| 2025 | SMC | CLEAR: A Clean-Label Backdoor Attack via Representation-Guided Trigger Embedding. | Zhan Wu, Haipeng Li, Di Wu, Shuchao Pang |
| 2025 | SDM | CDSRNP: Cross-Domain Sequential Recommendation via Neural Process. | Haipeng Li, Jiangxia Cao, Yiwen Gao, Yunhuai Liu, Shuchao Pang |
| 2024 | AAAI | UniADS: Universal Architecture-Distiller Search for Distillation Gap. | Liming Lu, Zhenghan Chen, Xiaoyu Lu, Yihang Rao, Lujun Li, Shuchao Pang |
| 2024 | ADMA | A Unified Deep Learning-Based EEG Biometric Authentication System for Cross-Session Scenarios. | Yijing Gong, Min Wang, Yu Zhang, Wenjie Zhang, Shuchao Pang |
| 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 | CIKM | Enhancing Content-based Recommendation via Large Language Model. | Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang |
| 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 |
| 2024 | ECCV | Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs. | Shuchao Pang, Ruhao Ma, Bing Li, Yongbin Zhou, Yazhou Yao |
| 2024 | ECCV | Foster Adaptivity and Balance in Learning with Noisy Labels. | Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao |
| 2024 | IJCNN | Anti-AsynDGAN: Black-box Membership Inference Attacks Against Medical Distributed Generation Models. | Yue Chen, Shuchao Pang, Rui Zhang |
| 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 |