no code implementations • 31 Mar 2024 • Minghui Chen, Zichao Meng, Yanping Liu, Longbo Luo, Ye Guo, Kang Wang
In this paper, we introduce a nonparametric end-to-end method for probabilistic forecasting of distributed renewable generation outputs while including missing data imputation.
no code implementations • 10 Mar 2024 • Ruinan Jin, Wenlong Deng, Minghui Chen, Xiaoxiao Li
UDE is capable of mitigating bias both within the FM API embedding and the images themselves.
1 code implementation • 20 Jul 2023 • Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li
In this paper, we propose a novel federated model soup method (i. e., selective interpolation of model parameters) to optimize the trade-off between local and global performance.
no code implementations • 3 Jun 2023 • Ruinan Jin, Minghui Chen, Qiong Zhang, Xiaoxiao Li
To this end, we propose the Forgettable Federated Linear Learning (2F2L) framework featured with novel training and data removal strategies.
no code implementations • 25 Apr 2022 • Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao
The tangent transfer creates initial augmented samples for improving corruption robustness.
1 code implementation • 1 Nov 2021 • Minghui Chen, Zhiqiang Wang, Feng Zheng
When deploying person re-identification (ReID) model in safety-critical applications, it is pivotal to understanding the robustness of the model against a diverse array of image corruptions.
Ranked #1 on Cross-Modal Person Re-Identification on RegDB-C (mINP (Visible to Thermal) metric)
Cross-Modal Person Re-Identification Generalizable Person Re-identification