Weikai Li

According to our database, Weikai Li authored at least 16 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Leveraging multi-source and heterogeneous signals for fatigue detection.

Luobin Cui, Yanlai Wu, Ying Tang, Weikai Li

CoRR, July, 2025

Iterative neural networks for improving memory capacity.

Xiaofeng Chen, Dongyuan Lin, Zhongshan Li, Weikai Li

Neural Networks, 2025

Low-light image enhancement using dual cross attention.

Yudi Ruan, Hao Ma, Di Ma, Weikai Li, Xiao Wang

Eng. Appl. Artif. Intell., 2025

2024

TIDE: Test-Time Few-Shot Object Detection.

Weikai Li, Hongfeng Wei, Yanlai Wu, Jie Yang, Yudi Ruan, Yuan Li, Ying Tang

IEEE Trans. Syst. Man Cybern. Syst., November, 2024

ECAFormer: Low-light Image Enhancement using Cross Attention.

Yudi Ruan, Hao Ma, Weikai Li, Xiao Wang

CoRR, 2024

2023

Partial Domain Adaptation Without Domain Alignment.

Weikai Li, Songcan Chen

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

TIToK: A solution for bi-imbalanced unsupervised domain adaptation.

Yunyun Wang, Quchuan Chen, Yao Liu, Weikai Li, Songcan Chen

Neural Networks, July, 2023

Are All Unseen Data Out-of-Distribution?

Songming Zhang, Yuxiao Luo, Qizhou Wang, Haoang Chi, Weikai Li, Bo Han, Jinyan Li

CoRR, 2023

2022

Human-Guided Functional Connectivity Network Estimation for Chronic Tinnitus Identification: A Modularity View.

Weikai Li, Yu-Chen Chen, Xiao-Wen Xu, Xiao Wang, Xin Gao

IEEE J. Biomed. Health Informatics, 2022

Unsupervised domain adaptation with progressive adaptation of subspaces.

Weikai Li, Songcan Chen

Pattern Recognit., 2022

Jacobian Norm for Unsupervised Source-Free Domain Adaptation.

Weikai Li, Meng Cao, Songcan Chen

CoRR, 2022

2020

Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View.

Weikai Li, Limei Zhang, Lishan Qiao, Dinggang Shen

IEEE J. Biomed. Health Informatics, 2020

Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection.

Weikai Li, Chuanxing Geng, Songcan Chen

CoRR, 2020

2019

Functional Brain Network Estimation With Time Series Self-Scrubbing.

Weikai Li, Lishan Qiao, Limei Zhang, Zhengxia Wang, Dinggang Shen

IEEE J. Biomed. Health Informatics, 2019

2018

Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment.

Yueying Zhou, Lishan Qiao, Weikai Li, Limei Zhang, Dinggang Shen

Frontiers Neuroinformatics, 2018

2017

Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification.

Weikai Li, Zhengxia Wang, Limei Zhang, Lishan Qiao, Dinggang Shen

Frontiers Neuroinformatics, 2017