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Lanting Li
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2020 – today
- 2024
- [c4]Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia:
Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation. ICML 2024 - [c3]Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaïane:
Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. MICCAI (2) 2024: 195-205 - [i1]Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia:
Accelerating Retrieval-Augmented Language Model Serving with Speculation. CoRR abs/2401.14021 (2024) - 2023
- [j8]Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang:
Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis. Int. J. Comput. Assist. Radiol. Surg. 18(4): 663-673 (2023) - [j7]Shuhua Liu, Lanting Li, Ming Fang, Chih-Cheng Hung, Shihao Yang:
A Prompt Learning Based Intent Recognition Method on a Chinese Implicit Intent Dataset CIID. Neural Process. Lett. 55(8): 11017-11034 (2023) - 2022
- [j6]Shuhua Liu, Xiaoying Bai, Ming Fang, Lanting Li, Chih-Cheng Hung:
Mixed graph convolution and residual transformation network for skeleton-based action recognition. Appl. Intell. 52(2): 1544-1555 (2022) - [j5]Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification. Medical Biol. Eng. Comput. 60(9): 2567-2588 (2022) - [j4]Shuhua Liu, Yushu Ren, Lanting Li, Xiaoyu Sun, Yu Song, Chih-Cheng Hung:
Micro-expression recognition based on SqueezeNet and C3D. Multim. Syst. 28(6): 2227-2236 (2022) - [j3]Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, MingYi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics 20(2): 353-375 (2022) - 2021
- [j2]Jinzhu Yang, Bo Wu, Lanting Li, Peng Cao, Osmar R. Zaïane:
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT. Comput. Medical Imaging Graph. 92: 101957 (2021) - [c2]Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane:
Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks. BIBM 2021: 1270-1275 - 2020
- [c1]Lanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images. BIBM 2020: 1987-1994
2010 – 2019
- 2018
- [j1]Jingmei Li, Qiao Tian, Guoyin Zhang, Weifei Wu, Di Xue, Lanting Li, Jiaxiang Wang, Lei Chen:
Task scheduling algorithm based on fireworks algorithm. EURASIP J. Wirel. Commun. Netw. 2018: 256 (2018)
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