Jinru Wu - RankMe

13 papers Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep reinforcement learning with dual-Q and Kolmogorov-Arnold Networks for computation offloading in Industrial IoT. Comput. Networks Jinru Wu, Ruizhong Du, Ziyuan Wang
2025	J	`jnl`	Identifying influential nodes in brain networks via self-supervised graph-transformer. Comput. Biol. Medicine Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Ruoyang Wang, Geng Chen, Xi Jiang, Tuo Zhang, Shu Zhang
2024	—	`conf`	A Self-Adaptive Subgraph Generation Algorithm for EEG Channel Selection. ISBI Kui Zhao, Yanqing Kang, Jinru Wu, Enze Shi, Di Zhu, Shu Zhang
2024	J	`jnl`	Dual-Q network deep reinforcement learning-based computation offloading method for industrial internet of things. J. Supercomput. Ruizhong Du, Jinru Wu, Yan Gao
2024	J	`jnl`	Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer. CoRR Yanqing Kang, Di Zhu, Haiyang Zhang, Enze Shi, Sigang Yu, Jinru Wu, Xuhui Wang, Xuan Liu, Geng Chen, Xi Jiang, Tuo Zhang, Shu Zhang
2024	J	`jnl`	MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Trans. Biomed. Eng. Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang
2024	J	`jnl`	Unraveling environmental influences on the spatial and temporal dynamics of cyanobacterial blooms in Lake Erhai during its early stage of eutrophication. Geo spatial Inf. Sci. Shangbo Yang, Jianzhong Lu, Xiaoling Chen, Xuejiao Hou, Zushuai Wei, Jinru Wu
2023	—	`conf`	A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach. ISBI Shu Zhang, Haiyang Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Jinru Wu
2023	—	`conf`	Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach. MICCAI (8) Yanqing Kang, Ruoyang Wang, Enze Shi, Jinru Wu, Sigang Yu, Shu Zhang
2023	J	`jnl`	MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification. Comput. Medical Imaging Graph. Shu Zhang, Jinru Wu, Enze Shi, Sigang Yu, Yongfeng Gao, Lihong Li, Licheng Ryan Kuo, Marc Jason Pomeroy, Jerome Zhengrong Liang
2023	J	`jnl`	Prompt Engineering for Healthcare: Methodologies and Applications. CoRR Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang
2022	—	`conf`	A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset. MMMI@MICCAI Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, Zhengrong Liang
2022	—	`conf`	A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. MLMI@MICCAI Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang