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2020 – today
- 2024
[j25]Shengbo Chen, Jidong Yuan
, Zhihai Wang, Yongqi Sun:
Local perturbation-based black-box federated learning attack for time series classification. Future Gener. Comput. Syst. 158: 488-500 (2024)- [j24]Yunqi Zhang, Jidong Yuan, Chixuan Wei, Yifei Xie:
Aggregating knowledge and collaborative information for sequential recommendation. Intell. Data Anal. 28(1): 279-298 (2024) - [j23]Mingxin Dai, Jidong Yuan, Haiyang Liu, Jinfeng Wang:
TSCF: An Improved Deep Forest Model for Time Series Classification. Neural Process. Lett. 56(1): 13 (2024) - [j22]Longhao Huang, Jidong Yuan, Shengbo Chen, Xu Li:
MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1337-1349 (2024) - [c7]Siqi Wen, Hanqi Jiang, Cheng Zeng, Runnan Chen, Jidong Yuan, Shuai Liang, Yinhe Han:
Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization. ICIC (5) 2024: 47-58 - 2023
- [j21]Shilei Hao, Zhihai Wang, Jidong Yuan:
Local morphological patterns for time series classification. Intell. Data Anal. 27(3): 653-674 (2023) - [j20]Chixuan Wei, Zhihai Wang, Jidong Yuan, Chuanming Li, Shengbo Chen:
Time-frequency based multi-task learning for semi-supervised time series classification. Inf. Sci. 619: 762-780 (2023) - [j19]Shilei Hao, Zhihai Wang, Afanasiev D. Alexander, Jidong Yuan, Wei Zhang:
MICOS: Mixed supervised contrastive learning for multivariate time series classification. Knowl. Based Syst. 260: 110158 (2023) - [j18]Wenbo Yang, Jidong Yuan, Xiaokang Wang:
SFCC: Data Augmentation with Stratified Fourier Coefficients Combination for Time Series Classification. Neural Process. Lett. 55(2): 1833-1846 (2023) - 2022
- [j17]Wenbo Yang, Jidong Yuan, Xiaokang Wang, Peixiang Zhao:
TSadv: Black-box adversarial attack on time series with local perturbations. Eng. Appl. Artif. Intell. 114: 105218 (2022) - [j16]Jidong Yuan, Mohan Shi, Zhihai Wang, Haiyang Liu, Jinyang Li:
Random pairwise shapelets forest: an effective classifier for time series. Knowl. Inf. Syst. 64(1): 143-174 (2022) - 2021
- [j15]Xiaokang Wang, Huiwen Wang, Shanshan Wang, Jidong Yuan:
Convex clustering method for compositional data via sparse group lasso. Neurocomputing 425: 23-36 (2021) - [j14]Xiaokang Wang, Huiwen Wang, Zhichao Wang, Jidong Yuan:
Convex clustering method for compositional data modeling. Soft Comput. 25(4): 2965-2980 (2021) - [c6]Yue Zhang, Zhihai Wang, Jidong Yuan:
A Proximity Forest for Multivariate Time Series Classification. PAKDD (1) 2021: 766-778 - 2020
- [j13]Wei Zhang, Zhihai Wang, Jidong Yuan, Shilei Hao:
Discriminative Dictionary Learning for Time Series Classification. IEEE Access 8: 185032-185044 (2020) - [j12]Wei Zhang, Zhihai Wang, Jidong Yuan, Shilei Hao:
Shapelet Discovery by Lazy Time Series Classification. Comput. Intell. Neurosci. 2020: 1978310:1-1978310:19 (2020)
2010 – 2019
- 2019
- [j11]Yange Sun, Zhihai Wang, Jidong Yuan, Wei Zhang:
Tracking recurring concepts from evolving data streams using ensemble method. Int. Arab J. Inf. Technol. 16(6): 1044-1052 (2019) - [j10]Jidong Yuan, Ahlame Douzal Chouakria, Saeed Varasteh Yazdi, Zhihai Wang:
A large margin time series nearest neighbour classification under locally weighted time warps. Knowl. Inf. Syst. 59(1): 117-135 (2019) - [c5]Jidong Yuan, Qianhong Lin, Wei Zhang, Zhihai Wang:
Locally Slope-based Dynamic Time Warping for Time Series Classification. CIKM 2019: 1713-1722 - [c4]Qianhong Lin, Hua-Rui Wu, Jidong Yuan, Jingqiu Gu:
The Nearest Neighbor Classifiers for Time Series with Complex Shape Features. DSC 2019: 222-227 - 2018
- [j9]Jidong Yuan, Zhihai Wang, Yange Sun, Wei Zhang, Jingjing Jiang:
An effective pattern-based Bayesian classifier for evolving data stream. Neurocomputing 295: 17-28 (2018) - [c3]Wei Zhang, Zhihai Wang, Jidong Yuan, Shilei Hao:
An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification. ICONIP (6) 2018: 46-55 - [c2]Mohan Shi, Zhihai Wang, Jidong Yuan, Haiyang Liu:
Random Pairwise Shapelets Forest. PAKDD (1) 2018: 68-80 - 2017
- [j8]Jingjing Jiang, Zhihai Wang, Jidong Yuan:
一种基于数据流模式表示的半懒惰式分类算法 (Partially-lazy Learning Classification Algorithm Based on Representation of Data Stream Model). 计算机科学 44(7): 167-174 (2017) - [c1]Jidong Yuan, Zhihai Wang, Yange Sun, Wei Zhang, Jingjing Jiang:
A Pattern-Based Bayesian Classifier for Data Stream. ICONIP (4) 2017: 868-877 - 2016
- [j7]Yange Sun, Zhihai Wang, Haiyang Liu, Chao Du, Jidong Yuan:
Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift. Int. J. Distributed Sens. Networks 12(5): 4218973:1-4218973:9 (2016) - 2015
- [j6]Meng Han, Zhihai Wang, Jidong Yuan:
Mining closed and multi-supports-based sequential pattern in high-dimensional dataset. Int. Arab J. Inf. Technol. 12(4): 360-369 (2015) - [j5]Jidong Yuan, Zhihai Wang, Meng Han, Yange Sun:
A lazy associative classifier for time series. Intell. Data Anal. 19(5): 983-1002 (2015) - [j4]Jidong Yuan, Zhihai Wang:
时间序列的表示与分类算法综述 (Review of Time Series Representation and Classification Techniques). 计算机科学 42(3): 1-7 (2015) - 2014
- [j3]Jidong Yuan, Zhihai Wang, Meng Han:
A Discriminative Shapelets Transformation for Time Series Classification. Int. J. Pattern Recognit. Artif. Intell. 28(6) (2014) - [j2]Meng Han, Zhihai Wang, Jidong Yuan:
Efficient Method for Mining Patterns from Highly Similar and Dense Database based on Prefix-Frequent-Items. J. Softw. 9(8): 2080-2086 (2014) - 2013
- [j1]Meng Han, Zhihai Wang, Jidong Yuan:
Closed Sequential Pattern Mining in High Dimensional Sequences. J. Softw. 8(6): 1368-1373 (2013)
Coauthor Index
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