| 2026 | AAAI | 3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition. | Yuanmin Huang, Wenxuan Li, Mi Zhang, Xiaohan Zhang, Xiaoyu You, Min Yang |
| 2025 | WWW | Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain. | Yuanmin Huang, Mi Zhang, Zhaoxiang Wang, Wenxuan Li, Min Yang |
| 2024 | CVPR | CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification. | Yuanmin Huang, Mi Zhang, Daizong Ding, Erling Jiang, Zhaoxiang Wang, Min Yang |
| 2024 | ESORICS | Towards Detection-Recovery Strategy for Robust Decentralized Matrix Factorization. | Yuanmin Huang, Mi Zhang, Daizong Ding, Erling Jiang, Qifan Xiao, Xiaoyu You, Yuan Tian, Min Yang |
| 2023 | AAAI | Black-Box Adversarial Attack on Time Series Classification. | Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang |
| 2023 | CVPR | CAP: Robust Point Cloud Classification via Semantic and Structural Modeling. | Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang, Wenxuan Li, Min Yang |
| 2022 | ICDE | Towards Backdoor Attack on Deep Learning based Time Series Classification. | Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang |
| 2021 | CIKM | Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. | Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang |