Jingxin Liu

According to our database, Jingxin Liu authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Adaptive feature boosting and distribution refinement for graph clustering.

Jingxin Liu, Xiangyan Tang, Renda Han, Wenxuan Tu, Ruili Wang

Pattern Recognit., 2026

2025

Multi-dimensional Topological Association Strengthening Clustering Network.

Mengzhe Sun, Renda Han, Moxuan Zeng, Mengfei Li, Tianyu Hu, Zhenhua Yang, Ziyan Wang, Jingxin Liu, Wen Xin, Jingmei Feng

Neural Process. Lett., August, 2025

IIM-ARE: An Effective Interactive Incentive Mechanism Based on Adaptive Reputation Evaluation for Mobile Crowd Sensing.

Xiangyan Tang, Jingxin Liu, Keqiu Li, Wenxuan Tu, Xinbin Xu, Neal N. Xiong

IEEE Internet Things J., June, 2025

Dual Feature Enhancement Graph Clustering Network.

Renda Han, Mengzhe Sun, Zeyi Li, Mengfei Li, Tianyu Hu, Zhenhua Yang, Jingxin Liu

Pattern Recognit. Lett., 2025

Dual Boost-Driven Graph-Level Clustering Network.

Renda Han, Wenxuan Tu, Junlong Wu, Wenxin Zhang, Jingxin Liu, Haotian Wang, Jieren Cheng, Huajie Lei, Guangzhen Yao, Lingren Wang, Mengfei Li, Yu Li

Proceedings of the International Joint Conference on Neural Networks, 2025

Federated Node-Level Clustering Network with Cross-Subgraph Link Mending.

Jingxin Liu, Renda Han, Wenxuan Tu, Haotian Wang, Junlong Wu, Jieren Cheng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FedPKA: Federated Graph-Level Clustering Network with Personalized Knowledge Aggregation.

Junlong Wu, Haotian Wang, Jingxin Liu, Wenxuan Tu, Renda Han, Jieren Cheng, Xiangyan Tang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Federated Graph-Level Clustering Network.

Jingxin Liu, Jieren Cheng, Renda Han, Wenxuan Tu, Jiaxin Wang, Xin Peng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Dual Contrastive Learning Network for Graph Clustering.

Xin Peng, Jieren Cheng, Xiangyan Tang, Jingxin Liu, Jiahua Wu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

DAE-NER: Dual-channel attention enhancement for Chinese named entity recognition.

Jingxin Liu, Mengzhe Sun, Wenhao Zhang, Gengquan Xie, Yongxia Jing, Xiulai Li, Zhaoxin Shi

Comput. Speech Lang., April, 2024

2022

MSFM: Multi-view Semantic Feature Fusion Model for Chinese Named Entity Recognition.

Jingxin Liu, Jieren Cheng, Xin Peng, Zeli Zhao, Xiangyan Tang, Victor S. Sheng

KSII Trans. Internet Inf. Syst., 2022

A Survey of Deep Learning for Named Entity Recognition in Chinese Social Media.

Jingxin Liu, Jieren Cheng, Ziyan Wang, Congqiang Lou, Chenli Shen, Victor S. Sheng

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

A Survey of Multi-label Text Classification Based on Deep Learning.

Xiaolong Chen, Jieren Cheng, Jingxin Liu, Wenghang Xu, Shuai Hua, Zhu Tang, Victor S. Sheng

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

2021

A review of Chinese named entity recognition.

Jieren Cheng, Jingxin Liu, Xinbin Xu, Dongwan Xia, Le Liu, Victor S. Sheng

KSII Trans. Internet Inf. Syst., 2021

Chinese Named Entity Recognition Incorporating Multi-scale Features.

Jingxin Liu, Jieren Cheng, Bo Wu, Dongwan Xia, Dengfang Feng, Xiulai Li

Proceedings of the Data Mining and Big Data - 6th International Conference, 2021