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Zhengliang Liu

University of Georgia

Athens, GA 30602-6254

United States

  • University of Georgia

SCHOLARLY PAPERS

4

DOWNLOADS

515

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

A Deep Learning Method for Autism Spectrum Disorder Identification Based on Interactions of Hierarchical Brain Networks

Number of pages: 12 Posted: 22 Dec 2022
Ning Qiang, Qinglin Dong, Jie Gao, Jin Li, Shu Zhang, Hongtao Liang, Yifei Sun, Bao Ge, Zhengliang Liu, Zihao Wu, Tianming Liu, Huiji Yue and Shijie Zhao
Shaanxi Normal University, University of Georgia, Shaanxi Normal University, Shaanxi Normal University, Northwestern Polytechnic University (NPU), Shaanxi Normal University, Shaanxi Normal University, Shaanxi Normal University, University of Georgia, University of Georgia, University of Georgia, Shaanxi Normal University and Northwestern Polytechnic University (NPU)
Downloads 184 (433,279)

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Deep Learning, Autism spectrum disorder, fMRI, functional brain network, hierarchy organization

2.

Context Matters: A Strategy to Pre-train Language Model for Science Education

Number of pages: 9 Posted: 27 Jan 2023
Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu and Xiaoming Zhai
University of Georgia, University of Georgia, Independent, University of Georgia and The University of Georgia
Downloads 119 (608,822)

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science education, natural language processing, BERT, context, SciEdBERT

3.

Zero-Shot Relation Triplet Extraction as Next-Sentence Prediction

Number of pages: 19 Posted: 29 Feb 2024
Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Ninghao Liu, Tianming Liu, quanzheng li, Xiang Li and Hongmin Cai
South China University of Technology, University of Georgia, South China University of Technology, South China University of Technology, University of Georgia, University of Georgia, Harvard University - Harvard Medical School, Harvard University - Harvard Medical School and South China University of Technology - School of Computer Science and Engineering
Downloads 114 (626,371)

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Zero-shot Learning, relation triplet extraction, information extraction

4.

Understanding Llms: A Comprehensive Overview from Training to Inference

Number of pages: 30 Posted: 25 Jan 2024
Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu and Bao Ge
affiliation not provided to SSRN, Shaanxi Normal University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Northwestern Polytechnic University (NPU), Northwestern Polytechnic University (NPU), Northwestern Polytechnic University (NPU), Northwestern Polytechnic University (NPU), University of Georgia, University of Georgia, University of Georgia, University of Georgia, Northwestern Polytechnic University (NPU), Northwestern Polytechnic University (NPU), Northwestern Polytechnic University (NPU), Northwestern Polytechnic University (NPU), Shaanxi Normal University, University of Georgia and Shaanxi Normal University
Downloads 98 (753,595)

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Large Language Models, Training, Inference, Survey