Lanting Li - RankMe

15 papers A* 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CGMAE: Self-supervised Masked Auto-Encoder with Cross-Graph node alignment for node classification. Eng. Appl. Artif. Intell. Ruoxian Song, Peng Cao, Guangqi Wen, Lanting Li, Wei Liang, Weiping Li, Jinzhu Yang, Osmar R. Zaïane
2025	—	`conf`	BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis. MICCAI (12) Liuzeng Zhang, Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024	A*	`conf`	Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation. ICML Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia
2024	J	`jnl`	Accelerating Retrieval-Augmented Language Model Serving with Speculation. CoRR Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia
2024	—	`conf`	Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. MICCAI (2) Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaïane
2023	J	`jnl`	A Prompt Learning Based Intent Recognition Method on a Chinese Implicit Intent Dataset CIID. Neural Process. Lett. Shuhua Liu, Lanting Li, Ming Fang, Chih-Cheng Hung, Shihao Yang
2023	J	`jnl`	Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis. Int. J. Comput. Assist. Radiol. Surg. Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang
2022	J	`jnl`	Micro-expression recognition based on SqueezeNet and C3D. Multim. Syst. Shuhua Liu, Yushu Ren, Lanting Li, Xiaoyu Sun, Yu Song, Chih-Cheng Hung
2022	J	`jnl`	Mixed graph convolution and residual transformation network for skeleton-based action recognition. Appl. Intell. Shuhua Liu, Xiaoying Bai, Ming Fang, Lanting Li, Chih-Cheng Hung
2022	J	`jnl`	Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification. Medical Biol. Eng. Comput. Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2022	J	`jnl`	TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, Mingyi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2021	J	`jnl`	MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT. Comput. Medical Imaging Graph. Jinzhu Yang, Bo Wu, Lanting Li, Peng Cao, Osmar R. Zaïane
2021	—	`conf`	Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks. BIBM Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane
2020	—	`conf`	A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images. BIBM Lanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
2018	J	`jnl`	Task scheduling algorithm based on fireworks algorithm. EURASIP J. Wirel. Commun. Netw. Jingmei Li, Qiao Tian, Guoyin Zhang, Weifei Wu, Di Xue, Lanting Li, Jiaxiang Wang, Lei Chen