Jingxian Li

According to our database, Jingxian Li authored at least 18 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A tensor recommendation method based on HMM network and meta-path.

Xin Wang, Lixin Han, Jingxian Li, Hong Yan

Inf. Sci., 2025

2024

A hybrid neural network model based on optimized margin softmax loss function for music classification.

Jingxian Li, Lixin Han, Xin Wang, Yang Wang, Jianhua Xia, Yi Yang, Bing Hu, Shu Li, Hong Yan

Multim. Tools Appl., May, 2024

A conditional random field recommendation method based on tripartite graph.

Xin Wang, Lixin Han, Jingxian Li, Hong Yan

Expert Syst. Appl., March, 2024

The impact of an interactive, personalized computer-based teacher professional development program on student performance: A randomized controlled trial.

Yasemin Copur-Gencturk, Jingxian Li, Allan S. Cohen, Chandra Hawley Orrill

Comput. Educ., March, 2024

Understanding urban expansion and shrinkage via green plastic cover mapping based on GEE cloud platform: A case study of Shandong, China.

Jiantao Liu, Yan Zhang, Quanlong Feng, Gaofei Yin, Dong Zhang, Yi Li, Jianhua Gong, Yexiang Li, Jingxian Li

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

GCL: Contrastive learning instead of graph convolution for node classification.

Shu Li, Lixin Han, Yang Wang, YongLin Pu, Jun Zhu, Jingxian Li

Neurocomputing, September, 2023

Generative Adversarial Networks for Video Summarization Based on Key-frame Selection.

Xiayun Hu, Xiaobin Hu, Jingxian Li, Kun You

Inf. Technol. Control., March, 2023

MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging.

Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Combined angular margin and cosine margin softmax loss for music classification based on spectrograms.

Jingxian Li, Lixin Han, Yang Wang, Baohua Yuan, Xiaofeng Yuan, Yi Yang, Hong Yan

Neural Comput. Appl., 2022

An evaluation of deep neural network models for music classification using spectrograms.

Jingxian Li, Lixin Han, Xiaoshuang Li, Jun Zhu, Baohua Yuan, Zhinan Gou

Multim. Tools Appl., 2022

Personalized Recommendation via Multi-dimensional Meta-paths Temporal Graph Probabilistic Spreading.

Yang Wang, Lixin Han, Quiping Qian, Jianhua Xia, Jingxian Li

Inf. Process. Manag., 2022

Rethinking Two Consensuses of the Transferability in Deep Learning.

Yixiong Chen, Jingxian Li, Chris Ding, Li Liu

CoRR, 2022

Nonvolatile Electrochemical Random-Access Memory Under Short Circuit.

Diana Kim, Virgil Watkins, Laszlo Cline, Jingxian Li, Kai Sun, Joshua D. Sugar, Elliot J. Fuller, A. Alec Talin, Yiyang Li

CoRR, 2022

MetaLR: Layer-wise Learning Rate based on Meta-Learning for Adaptively Fine-tuning Medical Pre-trained Models.

Yixiong Chen, Jingxian Li, Hua Jiang, Li Liu, Chris Ding

CoRR, 2022

TSC-GCN: A Face Clustering Method Based on GCN.

Jinmin Xue, Shengdong Qu, Jingxian Li, Yan Chu, Zhengkui Wang

Proceedings of the Knowledge Science, Engineering and Management, 2022

2021

A robust personalized location recommendation based on ensemble learning.

Jun Zhu, Lixin Han, Zhinan Gou, Yi Yang, Xiaofeng Yuan, Jingxian Li, Shu Li

Expert Syst. Appl., 2021

Multi-source Data Analysis Method of Exhibition Site Based on Mobile Internet.

Xiaoyin Yin, Jiangnan He, Ying Gao, Jingxian Li

Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

2008

Microbending optical fiber sensors and their applications.

Xuejin Li, Yuanlong Deng, Yongqin Yu, Xinyi Wang, Jingxian Li

Proceedings of the 2008 International Conference on Advanced Infocomm Technology, 2008