Neighborhood opposition-based differential evolution with Gaussian perturbation X Zhao, S Feng, J Hao, X Zuo, Y Zhang Soft Computing 25, 27-46, 2021 | 32 | 2021 |
Read: Aggregating reconstruction error into out-of-distribution detection W Jiang, Y Ge, H Cheng, M Chen, S Feng, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14910 …, 2023 | 9 | 2023 |
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection S Feng, P Jin, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21081 …, 2024 | 1 | 2024 |
CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection S Feng, W Jiang, M Chen, Y Du, H Cheng, Y Ge, C Wang Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
An improved opposition-based differential evolution with Gaussian perturbation S Feng, Q Xiong, XC Zhao Proceedings of MISTA, 249-256, 2019 | 1 | 2019 |
When an extra rejection class meets out-of-distribution detection in long-tailed image classification S Feng, C Wang Neural Networks, 106485, 2024 | | 2024 |
Comparative Studies on Typical Opposition-Based Learning Schemes in Differential Evolution with Gaussian Perturbation S Feng, J Hao, X Zhao, Q Xiong Advances in Guidance, Navigation and Control: Proceedings of 2020 …, 2022 | | 2022 |
Multi-source Fully Test-Time Adaptation Y Du, S Luo, Y Xin, MC Chen, S Feng, M Zhang, C Wang 5th Workshop on practical ML for limited/low resource settings, 0 | | |