Microbending optical fiber sensors and their applications. - Xuejin Li; Yuanlong Deng; Yongqin Yu; Xinyi Wang; Jingxian Li (ICAIT, 2008)

Multi-source Data Analysis Method of Exhibition Site Based on Mobile Internet. - Xiaoyin Yin; Jiangnan He; Ying Gao; Jingxian Li (IWCMC, 2021)

A robust personalized location recommendation based on ensemble learning. - Jun Zhu; Lixin Han; Zhinan Gou; Yi Yang 022; Xiaofeng Yuan; Jingxian Li; Shu Li (Expert Syst. Appl., 2021)

TSC-GCN: A Face Clustering Method Based on GCN. - Jinmin Xue; Shengdong Qu; Jingxian Li; Yan Chu 001; Zhengkui Wang (KSEM (3), 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 036; Chris Ding (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)

Rethinking Two Consensuses of the Transferability in Deep Learning. - Yixiong Chen; Jingxian Li; Chris Ding; Li Liu 036 (CoRR, 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)

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)

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 022; Hong Yan 001 (Neural Comput. Appl., 2022)

MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging. - Yixiong Chen; Li Liu 036; Jingxian Li; Hua Jiang; Chris Ding; Zongwei Zhou (MICCAI (1), 2023)

Generative Adversarial Networks for Video Summarization Based on Key-frame Selection. - Xiayun Hu; Xiaobin Hu; Jingxian Li; Kun You (Inf. Technol. Control., 2023)

GCL: Contrastive learning instead of graph convolution for node classification. - Shu Li; Lixin Han; Yang Wang; YongLin Pu; Jun Zhu; Jingxian Li (Neurocomputing, 2023)

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 024; Jianhua Gong; Yexiang Li; Jingxian Li (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Contrastive clustering based on generalized bias-variance decomposition. - Shu Li; Lixin Han; Yang Wang; YongLin Pu; Jun Zhu; Jingxian Li (Knowl. Based Syst., 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., 2024)

A conditional random field recommendation method based on tripartite graph. - Xin Wang; Lixin Han; Jingxian Li; Hong Yan (Expert Syst. Appl., 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., 2024)

A tensor recommendation method based on HMM network and meta-path. - Xin Wang; Lixin Han; Jingxian Li; Hong Yan (Inf. Sci., 2025)

Perceptions versus performance: Assessing teacher learning in asynchronous online professional development. - Jingxian Li; Yasemin Copur-Gencturk (Educ. Inf. Technol., 2025)