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Zhonglin Ye
2020 – today
- 2025
- [j26]Chunyang Tang, Zhonglin Ye, Haixing Zhao, Libing Bai, Jingjing Lin:
DeepSCNN: a simplicial convolutional neural network for deep learning. Appl. Intell. 55(4): 281 (2025) - [j25]Yang Chen, Stjepan Picek, Zhonglin Ye, Zhaoyang Wang, Haixing Zhao:
Momentum gradient-based untargeted poisoning attack on hypergraph neural networks. Neurocomputing 634: 129835 (2025) - 2024
- [j24]Mingyuan Li, Lei Meng, Zhonglin Ye, Yanglin Yang, Shujuan Cao, Yuzhi Xiao, Haixing Zhao:
TP-GCL: graph contrastive learning from the tensor perspective. Frontiers Neurorobotics 18 (2024) - [j23]Zhonglin Ye, Yanlong Tang, Haixing Zhao, Zhaoyang Wang, Ying Ji:
Multi-channel high-order network representation learning research. Frontiers Neurorobotics 18 (2024) - [j22]Zhonglin Ye, Zhuoran Li, Gege Li, Haixing Zhao:
Dual-channel deep graph convolutional neural networks. Frontiers Artif. Intell. 7 (2024) - [j21]Lei Meng, Zhonglin Ye, Yanlin Yang, Haixing Zhao
:
DeepMCGCN: Multi-channel Deep Graph Neural Networks. Int. J. Comput. Intell. Syst. 17(1): 41 (2024) - [j20]Mingyuan Li, Lei Meng, Zhonglin Ye, Yanlin Yang, Shujuan Cao
GSGSL: Gravity-driven self-supervised graph structure learning. Inf. Process. Manag. 61(4): 103744 (2024) - [j19]Mingyuan Li, Lei Meng, Zhonglin Ye, Yuzhi Xiao, Shujuan Cao
Line graph contrastive learning for node classification. J. King Saud Univ. Comput. Inf. Sci. 36(4): 102011 (2024) - [j18]Guoqing Zhang
Transformer-Based Feature Compensation Network for Aerial Photography Person and Ground Object Recognition. Remote. Sens. 16(2): 268 (2024) - [j17]Guoqing Zhang
Unsupervised Joint Contrastive Learning for Aerial Person Re-Identification and Remote Sensing Image Classification. Remote. Sens. 16(2): 422 (2024) - [j16]Guoqing Zhang
Dynamic Screening Strategy Based on Feature Graphs for UAV Object and Group Re-Identification. Remote. Sens. 16(5): 775 (2024) - [j15]Le Sun
MASSFormer: Memory-Augmented Spectral-Spatial Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [j14]Yanlin Yang, Zhonglin Ye, Haixing Zhao
A Novel Link Prediction Framework Based on Gravitational Field. Data Sci. Eng. 8(1): 47-60 (2023) - [j13]Shujuan Cao, Xiaoming Wang, Zhonglin Ye, Mingyuan Li, Haixing Zhao:
LGNN: a novel linear graph neural network algorithm. Frontiers Comput. Neurosci. 17 (2023) - [j12]Yanlin Yang, Zhonglin Ye, Haixing Zhao
A Graph Representation Learning Framework Predicting Potential Multivariate Interactions. Int. J. Comput. Intell. Syst. 16(1): 144 (2023) - [j11]Zhonglin Ye, Yanlin Yang, Lei Meng, Gege Li, Zhaoyang Wang, Haixing Zhao:
Applications of Teaching Based on Virtual Reality in Agro-Pastoralism Areas. Int. J. Inf. Commun. Technol. Educ. 19(1): 1-18 (2023) - [j10]Yang Chen
Feature-Based Graph Backdoor Attack in the Node Classification Task. Int. J. Intell. Syst. 2023: 1-13 (2023) - [j9]Yanlong Tang
CTNRL: A Novel Network Representation Learning With Three Feature Integrations. Int. J. Data Warehous. Min. 19(2): 1-14 (2023) - [j8]Wei Zhang
TAMNR: a network embedding learning algorithm using text attention mechanism. PeerJ Comput. Sci. 9: e1736 (2023) - [j7]Yanlin Yang
GFNC: Unsupervised Link Prediction Based on Gravitational Field and Node Contraction. IEEE Trans. Comput. Soc. Syst. 10(4): 1835-1851 (2023) - [c13]Mingyuan Li, Lei Meng, Zhonglin Ye, Haixing Zhao, Yuzhi Xiao, Shujuan Cao:
Multi-scale Heterogeneous Graph Contrastive Learning*. IEEE Big Data 2023: 4432-4441 - [c12]Yanglin Yang, Zhonglin Ye, Haixing Zhao, Gege Li, Shujuan Cao:
BLR: A Multi-modal Sentiment Analysis Model. ICANN (10) 2023: 466-478 - [c11]Xiaofei Lin, Zhonglin Ye, Haixing Zhao:
Qinghai Embroidery Classification System and Intelligent Classification Research. ICPCSEE (2) 2023: 174-190 - [c10]Gege Li, Lin Zhou, Zhonglin Ye, Haixing Zhao:
Research on Link Prediction Algorithms Based on Multichannel Structure Modelling. ICPCSEE (2) 2023: 269-284 - [i1]Yang Chen, Stjepan Picek, Zhonglin Ye, Zhaoyang Wang, Haixing Zhao:
Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks. CoRR abs/2310.15656 (2023) - 2022
- [c9]Yang Chen, Zhonglin Ye, Haixing Zhao, Lei Meng, Zhaoyang Wang, Yanlin Yang:
A practical adversarial attack on Graph Neural Networks by attacking single node structure. HPCC/DSS/SmartCity/DependSys 2022: 143-152 - [c8]Lei Meng, Zhonglin Ye, Haixing Zhao, Yanlin Yang, Yang Chen, Zhaoyang Wang:
Three-Channel Graph Convolutional Network. HPCC/DSS/SmartCity/DependSys 2022: 153-162 - [c7]Xiaoxin Li, Zhonglin Ye, Haixing Zhao, Yanlin Yang:
Linking Prediction Algorithm Integrating with Lower and Higher Order Features. ICBASE 2022: 232-243 - 2020
- [j6]Yu Zhu, Zhonglin Ye, Haixing Zhao, Ke Zhang:
Text-enhanced network representation learning. Frontiers Comput. Sci. 14(6): 146322 (2020) - [c6]Lei Meng, Zhonglin Ye, Haixing Zhao, Yanlin Yang, Fuxiang Ma:
Hypernetwork Model Based on Logistic Regression. Big Data (CCF) 2020: 195-208
2010 – 2019
- 2019
- [j5]Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu:
Multi-View Network Representation Learning Algorithm Research. Algorithms 12(3): 62 (2019) - [j4]Zhonglin Ye, Haixing Zhao, Ke Zhang, Zhaoyang Wang, Yu Zhu:
Network representation based on the joint learning of three feature views. Big Data Min. Anal. 2(4): 248-260 (2019) - [j3]Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu:
基于多视图集成的网络表示学习算法 (Network Representation Learning Based on Multi-view Ensemble Algorithm). 计算机科学 46(1): 117-125 (2019) - [c5]Yanlin Yang, Zhonglin Ye, Haixing Zhao, Lei Meng:
Link Prediction Based on Gravitational Field of Complex Network. DASC/PiCom/DataCom/CyberSciTech 2019: 499-504 - [c4]Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu, Yuzhi Xiao, Zhaoyang Wang:
Improved DeepWalk Algorithm Based on Preference Random Walk. NLPCC (1) 2019: 265-276 - 2018
- [j2]Zhonglin Ye
Syntactic word embedding based on dependency syntax and polysemous analysis. Frontiers Inf. Technol. Electron. Eng. 19(4): 524-535 (2018) - [c3]Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu, Yuzhi Xiao:
Text-Associated Max-Margin DeepWalk. Big Data (CCF) 2018: 301-321 - [c2]Yu Zhu, Zhonglin Ye, Haixing Zhao, Ke Zhang:
Network Representation Learning Based on Community and Text Features. CCL 2018: 348-360 - 2017
- [j1]Zhonglin Ye, Zhen Jia, Hongfeng Yin:
多领域自然语言问句理解研究 (Research on Multi-domain Natural Language Question Understanding). 计算机科学 44(6): 216-221 (2017) - 2015
- [c1]Zhonglin Ye, Zheng Jia, Yan Yang, Junfu Huang, Hongfeng Yin:
Research on Open Domain Question Answering System. NLPCC 2015: 527-540
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