Jingxian Li

dblp:286/0353 · DBLP profile ↗
← Back
12ranked-venue papers
3as first author
12since 2021 · last 2025
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 6 · 1 first-author · 6 since 2021Databases, data management, data science and information retrieval · 3 · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-author · 3 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
YearPublicationVenuePosition
2025 A tensor recommendation method based on HMM network and meta-path
Lixin Han, Jingxian Li
Inf. Sci.3
2024 A conditional random field recommendation method based on tripartite graph
Lixin Han, Jingxian Li
Expert Syst. Appl.3
2024 Contrastive clustering based on generalized bias-variance decomposition
Lixin Han, YongLin Pu, Jingxian Li
Knowl. Based Syst.6
2024 A hybrid neural network model based on optimized margin softmax loss function for music classification
Jingxian Li, Lixin Han, Jianhua Xia
Multim. Tools Appl.1
2023 MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging
Yixiong Chen, Li Liu 0036, Jingxian Li, Chris Ding, Zongwei Zhou
MICCAI (1)3
2023 GCL: Contrastive learning instead of graph convolution for node classification
Lixin Han, YongLin Pu, Jingxian Li
Neurocomputing6
2022 TSC-GCN: A Face Clustering Method Based on GCN
Jinmin Xue, Shengdong Qu, Jingxian Li, Yan Chu 0001, Zhengkui Wang
KSEM (3)3
2022 Personalized Recommendation via Multi-dimensional Meta-paths Temporal Graph Probabilistic Spreading
Lixin Han, Quiping Qian, Jianhua Xia, Jingxian Li
Inf. Process. Manag.5
2022 An evaluation of deep neural network models for music classification using spectrograms
Jingxian Li, Lixin Han, Xiaoshuang Li, Baohua Yuan, Zhinan Gou
Multim. Tools Appl.1
2022 Combined angular margin and cosine margin softmax loss for music classification based on spectrograms
Jingxian Li, Lixin Han, Baohua Yuan, Xiaofeng Yuan, Yi Yang 0022, Hong Yan 0001
Neural Comput. Appl.1
2021 Multi-source Data Analysis Method of Exhibition Site Based on Mobile Internet
abstract
With the continuous improvement of information and communication technology, the popularity of mobile terminals and endless new technologies, the application of mobile Internet is increasingly extensive. This paper mainly studies the multi-source data analysis method based on mobile Internet. Through the connection of multi-source database, the data is associated and the foundation of data fusion is constructed. It is stored in the specified storage database or data medium according to certain rules. On this basis, first of all, preprocess the data, sort out and correct those disordered storage formats, disordered data records and redundant fields to form standard data. Secondly, these data are cleaned to remove data redundancy and noise. Through the combination of multi-source data, new data records are obtained, and these data are sorted and improved. According to the actual situation and problems of the project, the multi-source data is fused to build an effective data set. Data show that the accuracy of the model can reach more than 85%. The results show that mobile Internet technology can provide security and risk information for the participants of the exhibition.
Xiaoyin Yin, Jiangnan He, Jingxian Li
IWCMC4
2021 A robust personalized location recommendation based on ensemble learning
Lixin Han, Zhinan Gou, Yi Yang 0022, Xiaofeng Yuan, Jingxian Li
Expert Syst. Appl.6