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2020 – today
- 2025
[j11]Xin Wang, Lixin Han, Jingxian Li, Hong Yan:
A tensor recommendation method based on HMM network and meta-path. Inf. Sci. 689: 121412 (2025)- 2024
- [j10]Jiantao Liu, Yan Zhang, Quanlong Feng
, Gaofei Yin, Dong Zhang, Yi Li, Jianhua Gong, Yexiang Li, Jingxian Li:
Understanding urban expansion and shrinkage via green plastic cover mapping based on GEE cloud platform: A case study of Shandong, China. Int. J. Appl. Earth Obs. Geoinformation 128: 103749 (2024) - [j9]Yasemin Copur-Gencturk, Jingxian Li, Allan S. Cohen, Chandra Hawley Orrill:
The impact of an interactive, personalized computer-based teacher professional development program on student performance: A randomized controlled trial. Comput. Educ. 210: 104963 (2024) - [j8]Xin Wang, Lixin Han, Jingxian Li, Hong Yan:
A conditional random field recommendation method based on tripartite graph. Expert Syst. Appl. 238(Part C): 121804 (2024) - [j7]Jingxian Li, Lixin Han, Xin Wang, Yang Wang, Jianhua Xia, Yi Yang, Bing Hu, Shu Li, Hong Yan:
A hybrid neural network model based on optimized margin softmax loss function for music classification. Multim. Tools Appl. 83(15): 43871-43906 (2024) - 2023
- [j6]Shu Li, Lixin Han, Yang Wang, YongLin Pu, Jun Zhu, Jingxian Li:
GCL: Contrastive learning instead of graph convolution for node classification. Neurocomputing 551: 126491 (2023) - [j5]Xiayun Hu, Xiaobin Hu, Jingxian Li, Kun You:
Generative Adversarial Networks for Video Summarization Based on Key-frame Selection. Inf. Technol. Control. 52(1): 185-198 (2023) - [c4]Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou:
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging. MICCAI (1) 2023: 706-716 - 2022
- [j4]Yang Wang, Lixin Han, Quiping Qian, Jianhua Xia, Jingxian Li:
Personalized Recommendation via Multi-dimensional Meta-paths Temporal Graph Probabilistic Spreading. Inf. Process. Manag. 59(1): 102787 (2022) - [j3]Jingxian Li, Lixin Han, Xiaoshuang Li, Jun Zhu, Baohua Yuan, Zhinan Gou:
An evaluation of deep neural network models for music classification using spectrograms. Multim. Tools Appl. 81(4): 4621-4647 (2022) - [j2]Jingxian Li, Lixin Han, Yang Wang, Baohua Yuan, Xiaofeng Yuan, Yi Yang, Hong Yan:
Combined angular margin and cosine margin softmax loss for music classification based on spectrograms. Neural Comput. Appl. 34(13): 10337-10353 (2022) - [c3]Jinmin Xue, Shengdong Qu, Jingxian Li, Yan Chu, Zhengkui Wang:
TSC-GCN: A Face Clustering Method Based on GCN. KSEM (3) 2022: 260-271 - [i3]Yixiong Chen, Jingxian Li, Hua Jiang, Li Liu, Chris Ding:
MetaLR: Layer-wise Learning Rate based on Meta-Learning for Adaptively Fine-tuning Medical Pre-trained Models. CoRR abs/2206.01408 (2022) - [i2]Diana Kim, Virgil Watkins, Laszlo Cline, Jingxian Li, Kai Sun, Joshua D. Sugar, Elliot J. Fuller, A. Alec Talin, Yiyang Li:
Nonvolatile Electrochemical Random-Access Memory Under Short Circuit. CoRR abs/2210.06658 (2022) - [i1]Yixiong Chen, Jingxian Li, Chris Ding, Li Liu:
Rethinking Two Consensuses of the Transferability in Deep Learning. CoRR abs/2212.00399 (2022) - 2021
- [j1]Jun Zhu, Lixin Han, Zhinan Gou, Yi Yang, Xiaofeng Yuan, Jingxian Li, Shu Li:
A robust personalized location recommendation based on ensemble learning. Expert Syst. Appl. 167: 114065 (2021) - [c2]Xiaoyin Yin, Jiangnan He, Ying Gao, Jingxian Li:
Multi-source Data Analysis Method of Exhibition Site Based on Mobile Internet. IWCMC 2021: 41-44
2000 – 2009
- 2008
- [c1]Xuejin Li, Yuanlong Deng, Yongqin Yu, Xinyi Wang, Jingxian Li:
Microbending optical fiber sensors and their applications. ICAIT 2008: 89:1-89:4
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