[1] |
ZHANG Qi, ZHONG Hao.
Submodular Optimization Approach for Entity Summarization in Knowledge Graph Driven by Large Language Models
[J]. Journal of Frontiers of Computer Science and Technology, 2024, 18(7): 1806-1813.
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[2] |
FENG Jun, CHANG Yanghong, LU Jiamin, TANG Hailin, LYU Zhipeng, QIU Yuchun.
Construction and Application of Knowledge Graph for Water Engineering Scheduling Based on Large Language Model
[J]. Journal of Frontiers of Computer Science and Technology, 2024, 18(6): 1637-1647.
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[3] |
WANG Yu, SUN Haichun.
Review of Visual Question Answering Technology
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(7): 1487-1505.
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[4] |
LUO Xuemei, ZHENG Haihong, AN Yaqiang, WANG Di.
Online Graph Regularized Non-negative Matrix Factorization Cross-Modal Hashing
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(3): 678-686.
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[5] |
ZHANG Heyi, WANG Xin, HAN Lifan, LI Zhao, CHEN Zirui, CHEN Zhe.
Research on Question Answering System on Joint of Knowledge Graph and Large Language Models
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(10): 2377-2388.
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[6] |
PENG Huang, ZENG Weixin, ZHOU Jie, TANG Jiuyang, ZHAO Xiang.
Contrast Research of Representation Learning in Entity Alignment Based on Graph Neural Network
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(10): 2343-2357.
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[7] |
PAN Yudai, ZHANG Lingling, CAI Zhongmin, ZHAO Tianzhe, WEI Bifan, LIU Jun.
Differentiable Rule Extraction with Large Language Model for Knowledge Graph Reasoning
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(10): 2403-2412.
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[8] |
LI Yuan, MA Xinyu, YANG Guoli, ZHAO Huiqun, SONG Wei.
Survey of Causal Inference for Knowledge Graphs and Large Language Models
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(10): 2358-2376.
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[9] |
YANG Bo, SUN Xiaohu, DANG Jiayi, ZHAO Haiyan, JIN Zhi.
Named Entity Recognition Method of Large Language Model for Medical Question Answering System
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(10): 2389-2402.
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[10] |
SHI Yucheng, WU Yun, LONG Huiyun.
Cross-Modal Fusion of RGB-D Salient Detection for Advanced Semantic Repair Strategy
[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(1): 140-153.
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[11] |
LIU Ying, GUO Yingying, FANG Jie, FAN Jiulun, HAO Yu, LIU Jiming.
Survey of Research on Deep Learning Image-Text Cross-Modal Retrieval
[J]. Journal of Frontiers of Computer Science and Technology, 2022, 16(3): 489-511.
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[12] |
CHEN Ning, DUAN Youxiang, SUN Qifeng.
Literature Review of Cross-Modal Retrieval Research
[J]. Journal of Frontiers of Computer Science and Technology, 2021, 15(8): 1390-1404.
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[13] |
ZHU Jie, BAI Hongyu, ZHANG Zhongyu, XIE Bojun, ZHANG Junsan.
Object Feature Based Deep Hashing for Cross-Modal Retrieval
[J]. Journal of Frontiers of Computer Science and Technology, 2021, 15(5): 922-930.
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[14] |
LIN Yang, CHU Xu, WANG Yasha, MAO Weijia, ZHAO Junfeng.
Cross-Modal Recipe Retrieval with Self-Attention Mechanism
[J]. Journal of Frontiers of Computer Science and Technology, 2020, 14(9): 1471-1481.
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[15] |
JI Zhong, LI Huihui, HE Yuqing.
Zero-Shot Multi-Label Image Classification Based on Deep Instance Differentiation
[J]. Journal of Frontiers of Computer Science and Technology, 2019, 13(1): 97-105.
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