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Jiangtao Qi
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2020 – today
- 2025
- [j26]Jing Meng, Zhenfang Zhu, Jiangtao Qi, Huaxiang Zhang:
DRSS: a multimodal sentiment analysis approach based on dual representation and self-supervised learning strategy. J. Supercomput. 81(1): 58 (2025) - 2024
- [j25]Mao Li, Jiangtao Qi, Xinliang Tian, Hui Guo, Lijing Liu, Amir M. Fathollahi Fard, Guangdong Tian:
Smartphone-based straw incorporation: An improved convolutional neural network. Comput. Electron. Agric. 221: 109010 (2024) - [j24]Zhenfang Zhu, Shuai Gong, Jiangtao Qi, Chunling Tong:
HTPosum:Heterogeneous Tree Structure augmented with Triplet Positions for extractive Summarization of scientific papers. Expert Syst. Appl. 238(Part F): 122364 (2024) - [j23]Yanhan Sun, Zhenfang Zhu, Zicheng Zuo, Kefeng Li, Shuai Gong, Jiangtao Qi:
DSAMR: Dual-Stream Attention Multi-hop Reasoning for knowledge-based visual question answering. Expert Syst. Appl. 245: 123092 (2024) - [j22]Liang Zhao, Kefeng Li, Jiangtao Qi, Yanhan Sun, Zhenfang Zhu:
Robust Visual Question Answering utilizing Bias Instances and Label Imbalance. Knowl. Based Syst. 305: 112629 (2024) - [j21]Songlin Jiao, Zhenfang Zhu, Jiangtao Qi, Fuyong Xu, Hongli Pei, Wenling Wang, Ze Song, Peiyu Liu:
A Relation Embedding Assistance Networks for Multi-hop Question Answering. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(2): 26:1-26:17 (2024) - [j20]Xiaowen Sun, Zhenfang Zhu, Jiangtao Qi, Zhen Zhao, Hongli Pei:
Affective Commonsense Knowledge Enhanced Dependency Graph for aspect sentiment triplet extraction. J. Supercomput. 80(7): 8614-8636 (2024) - 2023
- [j19]Kai Meng, Hui Sun, Jiangtao Qi, Hongbo Wang:
Section-LIO: A High Accuracy LiDAR-Inertial Odometry Using Undistorted Sectional Point. IEEE Access 11: 144918-144927 (2023) - [j18]Songlin Jiao, Zhenfang Zhu, Wenqing Wu, Zicheng Zuo, Jiangtao Qi, Wenling Wang, Guangyuan Zhang, Peiyu Liu:
An improving reasoning network for complex question answering over temporal knowledge graphs. Appl. Intell. 53(7): 8195-8208 (2023) - [j17]Xiangnan Liu, Jiangtao Qi, Weirong Zhang, Zhiyuan Bao, Kaichen Wang, Ning Li:
Recognition method of maize crop rows at the seedling stage based on MS-ERFNet model. Comput. Electron. Agric. 211: 107964 (2023) - [j16]Wenqing Wu, Zhenfang Zhu, Jiangtao Qi, Wenling Wang, Guangyuan Zhang, Peiyu Liu:
A dynamic graph expansion network for multi-hop knowledge base question answering. Neurocomputing 515: 37-47 (2023) - [j15]Dianyuan Zhang, Zhenfang Zhu, Jiangtao Qi, Guangyuan Zhang, Linghui Zhong:
Semantic Decision Internal-Attention Graph Convolutional Network for End-to-End Emotion-Cause Pair Extraction. Int. J. Semantic Web Inf. Syst. 19(1): 1-21 (2023) - [j14]Zhenfang Zhu, Dianyuan Zhang, Lin Li, Kefeng Li, Jiangtao Qi, Wenling Wang, Guangyuan Zhang, Peiyu Liu:
Knowledge-guided multi-granularity GCN for ABSA. Inf. Process. Manag. 60(2): 103223 (2023) - [j13]Shuai Gong, Zhenfang Zhu, Jiangtao Qi, Wenqing Wu, Chunling Tong:
SeburSum: a novel set-based summary ranking strategy for summary-level extractive summarization. J. Supercomput. 79(12): 12949-12977 (2023) - 2022
- [j12]Jiangtao Qi, Xiangnan Liu, Kai Liu, Farong Xu, Hui Guo, Xinliang Tian, Mao Li, Zhiyuan Bao, Yang Li:
An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease. Comput. Electron. Agric. 194: 106780 (2022) - 2021
- [j11]Yang Li, Mao Li, Jiangtao Qi, Deyi Zhou, Zongfeng Zou, Kai Liu:
Detection of typical obstacles in orchards based on deep convolutional neural network. Comput. Electron. Agric. 181: 105932 (2021) - [j10]Wei Zhang, Jiangtao Qi:
Synchronization of coupled memristive inertial delayed neural networks with impulse and intermittent control. Neural Comput. Appl. 33(13): 7953-7964 (2021) - [c3]Guotong Chen, Jiangtao Qi, Zeyu Dai:
Real-Time Maritime Obstacle Detection Based on YOLOv5 for Autonomous Berthing. BIC-TA (2) 2021: 412-427 - 2020
- [j9]Deyi Zhou, Mao Li, Yang Li, Jiangtao Qi, Kai Liu, Cong Xu, Xinliang Tian:
Detection of ground straw coverage under conservation tillage based on deep learning. Comput. Electron. Agric. 172: 105369 (2020) - [j8]Yang Li, Honglei Jia, Jiangtao Qi, Huibin Sun, Xinliang Tian, Huili Liu, Xuhui Fan:
An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion. Sensors 20(7): 2082 (2020) - [j7]Yang Li, Dongyan Huang, Jiangtao Qi, Sikai Chen, Huibin Sun, Huili Liu, Honglei Jia:
Feature Point Registration Model of Farmland Surface and Its Application Based on a Monocular Camera. Sensors 20(13): 3799 (2020)
2010 – 2019
- 2018
- [j6]Wei Zhang, Jiangtao Qi, Xing He:
Input-to-state stability of impulsive inertial memristive neural networks with time-varying delayed. J. Frankl. Inst. 355(17): 8971-8988 (2018) - 2016
- [j5]Jiangtao Qi, Chuandong Li, Tingwen Huang, Wei Zhang:
Exponential Stability of Switched Time-varying Delayed Neural Networks with All Modes Being Unstable. Neural Process. Lett. 43(2): 553-565 (2016) - 2015
- [j4]Wei Zhang, Chuandong Li, Tingwen Huang, Jiangtao Qi:
Global Stability and Synchronization of Markovian Switching Neural Networks with Stochastic Perturbation and Impulsive Delay. Circuits Syst. Signal Process. 34(8): 2457-2474 (2015) - [j3]Jiangtao Qi, Chuandong Li, Tingwen Huang:
Stability of inertial BAM neural network with time-varying delay via impulsive control. Neurocomputing 161: 162-167 (2015) - [j2]Jiangtao Qi, Chuandong Li, Tingwen Huang:
Existence and exponential stability of periodic solution of delayed Cohen-Grossberg neural networks via impulsive control. Neural Comput. Appl. 26(6): 1369-1377 (2015) - 2014
- [j1]Wei Zhang, Chuandong Li, Tingwen Huang, Jiangtao Qi:
Global exponential synchronization for coupled switched delayed recurrent neural networks with stochastic perturbation and impulsive effects. Neural Comput. Appl. 25(6): 1275-1283 (2014) - 2013
- [c2]Honglei Jia, Xianzhen Feng, Jiangtao Qi, Xinhui Liu, Chunxi Liu, Yongxi Yang, Yang Li:
Research and Application of Variable Rate Fertilizer Applicator System Based on a DC Motor. CCTA (2) 2013: 381-391 - 2010
- [c1]Jiangtao Qi, Shuhui Zhang, Yingjie Yu, Ye Li, Yan Xu:
Experimental analysis of ground speed measuring systems for the intelligent agricultural machinery. FSKD 2010: 668-671
Coauthor Index
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