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Journal Articles
- 2024
[j13]Jingjing Xue
, Ruizhang Huang, Ruina Bai, Yanping Chen, Yongbin Qin, Chuan Lin:
Adaptive structural enhanced representation learning for deep document clustering. Appl. Intell. 54(23): 12315-12331 (2024)- [j12]Hui Lu, Ziyang Cheng, Ruizhang Huang, Yongbin Qin, Yanping Chen, Chuan Lin, Jingjing Xue:
DEDC-IMAE: A deep evolutionary document clustering model with inherited mixed autoencoder. Inf. Sci. 678: 120880 (2024) - [j11]Feiping Nie, Jingjing Xue, Weizhong Yu, Xuelong Li:
Fast Clustering With Anchor Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1898-1912 (2024) - [j10]Feiping Nie, Jingjing Xue, Rong Wang, Liang Zhang, Xuelong Li:
Fast Clustering by Directly Solving Bipartite Graph Clustering Problem. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9174-9185 (2024) - [j9]Jingjing Xue, Feiping Nie, Rong Wang, Liang Zhang, Xuelong Li:
Fast Clustering via Maximizing Adaptively Within-Class Similarity. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9800-9813 (2024) - 2023
- [j8]Lina Ren, Yongbin Qin, Yanping Chen, Ruina Bai, Jingjing Xue, Ruizhang Huang:
Deep structural enhanced network for document clustering. Appl. Intell. 53(10): 12163-12178 (2023) - [j7]Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li:
Rank-$r$r Discrete Matrix Factorization for Anchor Graph Clustering. IEEE Trans. Knowl. Data Eng. 35(7): 7371-7381 (2023) - [j6]Jingjing Xue:
A wireless network-enabled online english subjective assignment evaluation system using micro cloud environment. Wirel. Networks 29(8): 3693-3706 (2023) - 2022
- [j5]Feiping Nie, Jingjing Xue, Danyang Wu, Rong Wang, Hui Li, Xuelong Li:
Coordinate Descent Method for $k$k-means. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2371-2385 (2022) - [j4]Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li:
Iteratively Reweighted Algorithm for Fuzzy $c$-Means. IEEE Trans. Fuzzy Syst. 30(10): 4310-4321 (2022) - 2021
- [j3]Shuang Gao, Jingjing Xue:
Nonlinear vector model control of underactuated air cushion vehicle based on parameter reduction algorithm. Trans. Inst. Meas. Control 43(5): 1202-1211 (2021) - 2018
- [j2]Guoqing Xia, Jingjing Xue, Jinpeng Jiao:
Dynamic Positioning Control System with Input Time-Delay Using Fuzzy Approximation Approach. Int. J. Fuzzy Syst. 20(2): 630-639 (2018) - 2015
- [j1]Guoqing Xia, Chengcheng Pang, Jingjing Xue:
Fuzzy neural network-based robust adaptive control for dynamic positioning of underwater vehicles with input dead-zone. J. Intell. Fuzzy Syst. 29(6): 2585-2595 (2015)
Conference and Workshop Papers
- 2024
- [c7]Xuefeng Jiang, Sheng Sun, Jia Li, Jingjing Xue, Runhan Li, Zhiyuan Wu, Gang Xu, Yuwei Wang, Min Liu:
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction. CIKM 2024: 1015-1026 - 2023
- [c6]Jingjing Xue, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang:
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout. IPDPS 2023: 489-500 - 2022
- [c5]Jingjing Xue, Xinpeng Li, Kui Xia, Rongri Tan, Yousheng Yu:
The effect of ethanol on B-DNA in salt solution through Molecular Dynamics Simulations. BIC 2022: 160-163 - [c4]Xinpeng Li, Kui Xia, Jingjing Xue, Rongri Tan, Wenjun Zong:
Molecular Dynamics Simulations of Amyloid-β Protein in KCl Salt Solution. BIC 2022: 164-168 - [c3]Kui Xia, Xinpeng Li, Jingjing Xue, Damao Xun, Rongri Tan:
The Effect of Ethanol on Mutant Human Prion Protein using Molecular Dynamics Simulations. BIC 2022: 169-172 - 2019
- [c2]Jingjing Xue, Kun Liu, Zeshan Lu, Han Lu:
Analysis of Chinese Comments on Douban Based on Naive Bayes. ICBDT 2019: 121-124 - 2017
- [c1]Jingjing Xue, Xingshi He, Xinshe Yang, Xiaoying Hao, Feiyue He:
Multi-threshold Image Segmentation Method Based on Flower Pollination Algorithm. BIC-TA 2017: 39-51
Informal and Other Publications
- 2024
- [i3]Qingxiang Liu, Sheng Sun, Yuxuan Liang, Jingjing Xue, Min Liu:
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. CoRR abs/2404.03702 (2024) - [i2]Xuefeng Jiang, Sheng Sun, Jia Li, Jingjing Xue, Runhan Li, Zhiyuan Wu, Gang Xu, Yuwei Wang, Min Liu:
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction. CoRR abs/2408.04301 (2024) - 2023
- [i1]Jingjing Xue, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang:
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout. CoRR abs/2307.07172 (2023)
Coauthor Index
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