index | Title |
1 | Transfer active learning by querying committee Author(s):Hao Shao, Feng Tao, Rui Xu Clicked:9194 Download:3557 Cited:1 <Full Text> <PPT> 2318 Journal of Zhejiang University Science C 2014 Vol.15 No.2 P.107-118 DOI:10.1631/jzus.C1300167 |
2 | Two-level hierarchical feature learning for image classification Author(s):Guang-hui Song, Xiao-gang Jin, Gen-lang Chen, Yan Nie Clicked:8265 Download:2764 Cited:1 <Full Text> <PPT> 2076 Frontiers of Information Technology & Electronic Engineering 2016 Vol.17 No.9 P.897-906 DOI:10.1631/FITEE.1500346 |
3 | Quantum security analysis of a lattice-based oblivious transfer protocol Author(s):Mo-meng Liu, Juliane Krämer, Yu-pu Hu, Johannes Buchmann Clicked:7562 Download:2338 Cited:0 <Full Text> <PPT> 1208 Frontiers of Information Technology & Electronic Engineering 2017 Vol.18 No.9 P.1348-1369 DOI:10.1631/FITEE.1700039 |
4 | Texture branch network for chronic kidney disease screening based on ultrasound images Author(s):Peng-yi Hao, Zhen-yu Xu, Shu-yuan Tian, Fu-li Wu, Wei Chen, Jian Wu, Xiao-nan Luo Clicked:7702 Download:7713 Cited:0 <Full Text> <PPT> 1796 Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.8 P.1161-1170 DOI:10.1631/FITEE.1900210 |
5 | A software defect prediction method with metric compensation based on feature selection and transfer learning Author(s):Jinfu CHEN, Xiaoli WANG, Saihua CAI, Jiaping XU, Jingyi CHEN, Haibo CHEN Clicked:3782 Download:6411 Cited:0 <Full Text> <PPT> 543 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.5 P.715-731 DOI:10.1631/FITEE.2100468 |
6 | Ensemble-transfer-learning-based channel parameter prediction in asymmetric massive MIMO systems Author(s):Zunwen HE, Yue LI, Yan ZHANG, Wancheng ZHANG, Kaien ZHANG, Liu GUO, Haiming WANG Clicked:3214 Download:7278 Cited:0 <Full Text> <PPT> 617 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.2 P.275-288 DOI:10.1631/FITEE.2200169 |
7 | Exploring financially constrained small- and medium-sized enterprises based on a multi-relation translational graph attention network Author(s):Qianqiao LIANG, Hua WEI, Yaxi WU, Feng WEI, Deng ZHAO, Jianshan HE, Xiaolin ZHENG, Guofang MA, Bing HAN Clicked:2720 Download:4843 Cited:0 <Full Text> <PPT> 585 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.3 P.388-402 DOI:10.1631/FITEE.2200151 |
8 | Transfer learning with a spatiotemporal graph convolution network for city flow prediction Author(s):Binkun LIU, Yu KANG, Yang CAO, Yunbo ZHAO, Zhenyi XU Clicked:1641 Download:938 Cited:0 <Full Text> <PPT> 290 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.1 P.79-92 DOI:10.1631/FITEE.2300571 |
9 | Frequency-learning adversarial networks based on transfer learning for cross-scenarios signal modulation classification Author(s):Qinyan MA, Jing XIAO, Zeqi SHAO, Duona ZHANG, Yufeng WANG, Wenrui DING Clicked:930 Download:745 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering In Press DOI: |
10 | EPDI-transfer learning method for highly accurate prediction of lithium diffusion barriers on TMD surfaces Author(s):Jian CHEN1,2, Yao KANG1,2, Xudong WANG1,2, Hao HUANG1, Man YAO1,2 Clicked:240 Download:308 Cited:0 <Full Text> Journal of Zhejiang University Science A In Press DOI: |
11 | Online transfer learning with an MLP-assisted graph convolutional network for traffic flow forecasting: a solution for edge intelligent devices Author(s):Jingru SUN1, Chendingying LU1, Yichuang SUN2, Hongbo JIANG1, Zhu XIAO1 Clicked:139 Download:81 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering In Press DOI: |