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2020 – today
- 2024
[j5]Kangjie Li, Wenjing Ye:
Improving efficiency in structural optimization using RBFNN and MMA-Adam hybrid method. Adv. Eng. Informatics 62: 102869 (2024)- [j4]Kangjie Li:
MultiPINN: multi-head enriched physics-informed neural networks for differential equations solving. Neural Comput. Appl. 36(19): 11371-11395 (2024) - 2023
- [j3]Kangjie Li, Wenjing Ye:
A generative adversarial active learning method for mechanical layout generation. Neural Comput. Appl. 35(26): 19315-19335 (2023) - 2022
- [j2]Kangjie Li, Wenjing Ye:
Semi-supervised node classification via graph learning convolutional neural network. Appl. Intell. 52(11): 12724-12736 (2022) - [c4]Kangjie Li:
Generative Adversarial Network-assisted Graph Convolutional Network (GANA-GCN). IJCNN 2022: 1-8 - 2020
- [j1]Kangjie Li, Yixiong Feng, Yicong Gao, Jian Qiu:
Hierarchical graph attention networks for semi-supervised node classification. Appl. Intell. 50(10): 3441-3451 (2020) - [c3]Hongxiu Tan, Yating Xiang, Hao Wu, Li Shen, Kangjie Li, Maoqi Zhang, Can Zhao, Lin Gan, Songnian Fu, Ming Tang:
Training-Free Feature Extraction of BOTDA Based on Sparse Representation. OFC 2020: 1-3
2010 – 2019
- 2018
- [c2]Haigen Hu, Kangjie Li, Qiu Guan, Feng Chen, Shengyong Chen, Yicheng Ni:
A Multi-channel Multi-classifier Method for Classifying Pancreatic Cystic Neoplasms Based on ResNet. ICANN (2) 2018: 101-108 - 2017
- [c1]Qiu Guan, Qinqin Jin, Haixia Long, Kangjie Li, Haigen Hu, Xiaoyan Wang:
A more precise multi-modal image registration using self-similarities. CISP-BMEI 2017: 1-5
Coauthor Index
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