Closed Sequential Pattern Mining in High Dimensional Sequences. - Meng Han; Zhihai Wang; Jidong Yuan (J. Softw., 2013)

A Discriminative Shapelets Transformation for Time Series Classification. - Jidong Yuan; Zhihai Wang; Meng Han (Int. J. Pattern Recognit. Artif. Intell., 2014)

Efficient Method for Mining Patterns from Highly Similar and Dense Database based on Prefix-Frequent-Items. - Meng Han; Zhihai Wang; Jidong Yuan (J. Softw., 2014)

Mining closed and multi-supports-based sequential pattern in high-dimensional dataset. - Meng Han; Zhihai Wang; Jidong Yuan (Int. Arab J. Inf. Technol., 2015)

A lazy associative classifier for time series. - Jidong Yuan; Zhihai Wang; Meng Han; Yange Sun (Intell. Data Anal., 2015)

时间序列的表示与分类算法综述 (Review of Time Series Representation and Classification Techniques). - Jidong Yuan; Zhihai Wang (计算机科学, 2015)

Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift. - Yange Sun; Zhihai Wang; Haiyang Liu; Chao Du; Jidong Yuan (Int. J. Distributed Sens. Networks, 2016)

A Pattern-Based Bayesian Classifier for Data Stream. - Jidong Yuan; Zhihai Wang; Yange Sun; Wei Zhang 180; Jingjing Jiang (ICONIP (4), 2017)

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). - Jingjing Jiang; Zhihai Wang; Jidong Yuan (计算机科学, 2017)

An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification. - Wei Zhang 180; Zhihai Wang; Jidong Yuan; Shilei Hao (ICONIP (6), 2018)

Random Pairwise Shapelets Forest. - Mohan Shi; Zhihai Wang; Jidong Yuan; Haiyang Liu (PAKDD (1), 2018)

An effective pattern-based Bayesian classifier for evolving data stream. - Jidong Yuan; Zhihai Wang; Yange Sun; Wei Zhang 180; Jingjing Jiang (Neurocomputing, 2018)

Locally Slope-based Dynamic Time Warping for Time Series Classification. - Jidong Yuan; Qianhong Lin; Wei Zhang 180; Zhihai Wang (CIKM, 2019)

The Nearest Neighbor Classifiers for Time Series with Complex Shape Features. - Qianhong Lin; Hua-Rui Wu 001; Jidong Yuan; Jingqiu Gu (DSC, 2019)

Tracking recurring concepts from evolving data streams using ensemble method. - Yange Sun; Zhihai Wang; Jidong Yuan; Wei Zhang 180 (Int. Arab J. Inf. Technol., 2019)

A large margin time series nearest neighbour classification under locally weighted time warps. - Jidong Yuan; Ahlame Douzal Chouakria; Saeed Varasteh Yazdi; Zhihai Wang (Knowl. Inf. Syst., 2019)

Discriminative Dictionary Learning for Time Series Classification. - Wei Zhang 180; Zhihai Wang; Jidong Yuan; Shilei Hao (IEEE Access, 2020)

Shapelet Discovery by Lazy Time Series Classification. - Wei Zhang 180; Zhihai Wang; Jidong Yuan; Shilei Hao (Comput. Intell. Neurosci., 2020)

A Proximity Forest for Multivariate Time Series Classification. - Yue Zhang; Zhihai Wang; Jidong Yuan (PAKDD (1), 2021)

Convex clustering method for compositional data via sparse group lasso. - Xiaokang Wang 002; Huiwen Wang; Shanshan Wang 005; Jidong Yuan (Neurocomputing, 2021)

Convex clustering method for compositional data modeling. - Xiaokang Wang 002; Huiwen Wang; Zhichao Wang; Jidong Yuan (Soft Comput., 2021)

TSadv: Black-box adversarial attack on time series with local perturbations. - Wenbo Yang; Jidong Yuan; Xiaokang Wang 002; Peixiang Zhao (Eng. Appl. Artif. Intell., 2022)

Random pairwise shapelets forest: an effective classifier for time series. - Jidong Yuan; Mohan Shi; Zhihai Wang; Haiyang Liu; Jinyang Li 003 (Knowl. Inf. Syst., 2022)

Local morphological patterns for time series classification. - Shilei Hao; Zhihai Wang; Jidong Yuan (Intell. Data Anal., 2023)

Time-frequency based multi-task learning for semi-supervised time series classification. - Chixuan Wei; Zhihai Wang; Jidong Yuan; Chuanming Li; Shengbo Chen (Inf. Sci., 2023)

MICOS: Mixed supervised contrastive learning for multivariate time series classification. - Shilei Hao; Zhihai Wang; Afanasiev D. Alexander; Jidong Yuan; Wei Zhang 180 (Knowl. Based Syst., 2023)

SFCC: Data Augmentation with Stratified Fourier Coefficients Combination for Time Series Classification. - Wenbo Yang; Jidong Yuan; Xiaokang Wang 002 (Neural Process. Lett., 2023)

Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization. - Siqi Wen; Hanqi Jiang; Cheng Zeng; Runnan Chen; Jidong Yuan; Shuai Liang; Yinhe Han 001 (ICIC (5), 2024)

Local perturbation-based black-box federated learning attack for time series classification. - Shengbo Chen; Jidong Yuan; Zhihai Wang; Yongqi Sun (Future Gener. Comput. Syst., 2024)

Aggregating knowledge and collaborative information for sequential recommendation. - Yunqi Zhang; Jidong Yuan; Chixuan Wei; Yifei Xie (Intell. Data Anal., 2024)

TSCF: An Improved Deep Forest Model for Time Series Classification. - Mingxin Dai; Jidong Yuan; Haiyang Liu; Jinfeng Wang (Neural Process. Lett., 2024)

MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting. - Longhao Huang; Jidong Yuan; Shengbo Chen; Xu Li (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning. - Haorong Han; Jidong Yuan; Chixuan Wei; Zhongyang Yu (AAAI, 2025)

SemiHAR: Improving Semisupervised Human Activity Recognition via Multitask Learning. - Chixuan Wei; Zhihai Wang; Jidong Yuan; Xiaokang Wang 002; Haiyang Liu; Qiyang Zhao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Counterfactual Music Recommendation for Mitigating Popularity Bias. - Jidong Yuan; Bingyu Gao; Xiaokang Wang 002; Haiyang Liu; Lingyin Zhang (IEEE Trans. Comput. Soc. Syst., 2025)

Ranking Neighborhood and Class Prototype Contrastive Learning for Time Series. - Chixuan Wei; Jidong Yuan; Yi Zhang; Zhongyang Yu; Yanze Liu; Haiyang Liu (IEEE Trans. Big Data, 2025)