Weikai Li - RankMe

25 papers A* 1B 2Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Auto-weighted projective one-step multi-view clustering. Neurocomputing Xin Mou, Weikai Li, Bing Li, Jin Hu
2026	A*	`conf`	Bridging the Modality Reliability Gap in Drug-Target Interaction Prediction via a Confidence-aware Multimodal Fusion Framework. AAAI Jie Yang, Junxiong Zhang, Kun Qian, Qingyu Yang, Weikai Li, Zhen Cheng
2026	J	`jnl`	Cross-modal medical image generation from MRI to PET using robust generative adversarial network. Expert Syst. Appl. Yueteng Yang, Bing Li, Wenming Cao, Xuemei Chen, Weikai Li
2026	J	`jnl`	Test-Time Few-Shot Object Detection via Dynamic Prototype Fusion. IEEE Trans. Cybern. Yanlai Wu, Yuan Li, Hongfeng Wei, Weikai Li, Ying Tang
2025	B	`conf`	Attention Transfer Based Hybrid Knowledge Distillation for Multimodal Brain Tumor Segmentation. IEEE Big Data Hengjie Ma, Hong Seng Gan, Hancang Mi, Pengjing Xu, Yang Liu, Weikai Li
2025	J	`jnl`	Iterative neural networks for improving memory capacity. Neural Networks Xiaofeng Chen, Dongyuan Lin, Zhongshan Li, Weikai Li
2025	J	`jnl`	Leveraging multi-source and heterogeneous signals for fatigue detection. CoRR Luobin Cui, Yanlai Wu, Ying Tang, Weikai Li
2025	J	`jnl`	Low-light image enhancement using dual cross attention. Eng. Appl. Artif. Intell. Yudi Ruan, Hao Ma, Di Ma, Weikai Li, Xiao Wang
2025	B	`conf`	Revisiting Multi-Modal Alignment: In Distribution View. SMC Weikai Li, Nan Tian, Yuan Li, Ying Tang
2024	J	`jnl`	ECAFormer: Low-light Image Enhancement using Cross Attention. CoRR Yudi Ruan, Hao Ma, Weikai Li, Xiao Wang
2024	J	`jnl`	TIDE: Test-Time Few-Shot Object Detection. IEEE Trans. Syst. Man Cybern. Syst. Weikai Li, Hongfeng Wei, Yanlai Wu, Jie Yang, Yudi Ruan, Yuan Li, Ying Tang
2023	J	`jnl`	Are All Unseen Data Out-of-Distribution? CoRR Songming Zhang, Yuxiao Luo, Qizhou Wang, Haoang Chi, Weikai Li, Bo Han, Jinyan Li
2023	J	`jnl`	Partial Domain Adaptation Without Domain Alignment. IEEE Trans. Pattern Anal. Mach. Intell. Weikai Li, Songcan Chen
2023	J	`jnl`	TIDE: Test Time Few Shot Object Detection. CoRR Weikai Li, Hongfeng Wei, Yanlai Wu, Jie Yang, Yudi Ruan, Yuan Li, Ying Tang
2023	J	`jnl`	TIToK: A solution for bi-imbalanced unsupervised domain adaptation. Neural Networks Yunyun Wang, Quchuan Chen, Yao Liu, Weikai Li, Songcan Chen
2022	J	`jnl`	Human-Guided Functional Connectivity Network Estimation for Chronic Tinnitus Identification: A Modularity View. IEEE J. Biomed. Health Informatics Weikai Li, Yu-Chen Chen, Xiao-Wen Xu, Xiao Wang, Xin Gao
2022	J	`jnl`	Jacobian Norm for Unsupervised Source-Free Domain Adaptation. CoRR Weikai Li, Meng Cao, Songcan Chen
2022	J	`jnl`	Unsupervised domain adaptation with progressive adaptation of subspaces. Pattern Recognit. Weikai Li, Songcan Chen
2021	J	`jnl`	Partial Domain Adaptation without Domain Alignment. CoRR Weikai Li, Songcan Chen
2020	J	`jnl`	Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection. CoRR Weikai Li, Chuanxing Geng, Songcan Chen
2020	J	`jnl`	Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View. IEEE J. Biomed. Health Informatics Weikai Li, Limei Zhang, Lishan Qiao, Dinggang Shen
2020	J	`jnl`	Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces. CoRR Weikai Li, Songcan Chen
2019	J	`jnl`	Functional Brain Network Estimation With Time Series Self-Scrubbing. IEEE J. Biomed. Health Informatics Weikai Li, Lishan Qiao, Limei Zhang, Zhengxia Wang, Dinggang Shen
2018	J	`jnl`	Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment. Frontiers Neuroinformatics Yueying Zhou, Lishan Qiao, Weikai Li, Limei Zhang, Dinggang Shen
2017	J	`jnl`	Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification. Frontiers Neuroinformatics Weikai Li, Zhengxia Wang, Limei Zhang, Lishan Qiao, Dinggang Shen