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

基于时间的局部低秩张量分解的协同过滤推荐算法 (Time-based Local Collaborative Filtering Recommendation Algorithm on Tensor Factorization). - Yange Sun; Zhihai Wang; Dan Huang (计算机科学, 2017)

A Classifier Graph Based Recurring Concept Detection and Prediction Approach. - Yange Sun; Zhihai Wang; Yang Bai; Honghua Dai 001; Saeid Nahavandi (Comput. Intell. Neurosci., 2018)

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

一种基于树型贝叶斯网络的集成多标记分类算法 (Ensemble Multi-label Classification Algorithm Based on Tree-Bayesian Network). - Zhidong Zhang; Zhihai Wang; Haiyang Liu; Yange Sun (计算机科学, 2018)

Semi-Random Forest Based on Representative Patterns for Noisy and Non-Stationary Data Stream. - Bencai Zhang; Hua-Rui Wu 001; Yange Sun; Ronghua Gao (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)

Efficient Ensemble Classification for Multi-Label Data Streams with Concept Drift. - Yange Sun; Han Shao; Shasha Wang (Inf., 2019)

Two-Stage Cost-Sensitive Learning for Data Streams With Concept Drift and Class Imbalance. - Yange Sun; Yi Sun; Honghua Dai 001 (IEEE Access, 2020)

Stacking model of multi-label classification based on pruning strategies. - Haiyang Liu; Zhihai Wang; Yange Sun (Neural Comput. Appl., 2020)

Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance. - Yange Sun; Meng Li; Lei Li; Han Shao; Yi Sun (Comput. Intell. Neurosci., 2021)

Constructing accuracy and diversity ensemble using Pareto-based multi-objective learning for evolving data streams. - Yange Sun; Honghua Dai 001 (Neural Comput. Appl., 2021)

Stability-Constraint-Free Solutions to Solve Time-Varying Linear Equation System. - Jian Li 018; Jianwei Fan; Xinhui Zhu; Yange Sun; Yanling Li (IEEE Access, 2022)

Ensemble based on accuracy and diversity weighting for evolving data streams. - Yange Sun; Han Shao; Bencai Zhang (Int. Arab J. Inf. Technol., 2022)

Dual convolutional neural network for crowd counting. - Huaping Guo; Rui Wang; Li Zhang; Yange Sun (Multim. Tools Appl., 2024)

Multiscale Feature Fusion for Salient Object Detection of Strip Steel Surface Defects. - Li Zhang; Xirui Li; Yange Sun; Yan Feng; Huaping Guo (IEEE Access, 2025)

TDDet: A novel lightweight and efficient tea disease detector. - Yange Sun; Zhihao Li; Huaping Guo; Yan Feng; Yongqiang Tang; Wensheng Zhang 002; Jingqiu Gu (Comput. Electron. Agric., 2025)