Lanting Li

15 papers A* 1Journal 10Unranked 4
YearRankTypeTitle / 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