A study on generalization capability of weighted fuzzy production rules with maximum entropy. - Xizhao Wang; Chunru Dong; Daniel S. Yeung (SMC (4), 2004)

A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. - Degang Chen 002; Qiang He 003; Chunru Dong; Xizhao Wang (ICMLC, 2005)

A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses. - Xi-Zhao Wang; Jian-Hui Yan; Ran Wang 001; Chun-Ru Dong (SMC, 2007)

Training T-S norm neural networks to refine weights for fuzzy if-then rules. - Xizhao Wang; Chunru Dong; Tie-Gang Fan (Neurocomputing, 2007)

Parametric tuning of rule-based systems by maximum fuzzy entropy. - Chun-Ru Dong; Ran Wang 001; Xi-Zhao Wang (SMC, 2008)

Improving Generalization of Fuzzy IF-THEN Rules by Maximizing Fuzzy Entropy. - Xi-Zhao Wang; Chun-Ru Dong (IEEE Trans. Fuzzy Syst., 2009)

Self-adaptive fuzzification in fuzzy decision tree induction. - Xiao-Dong Dai; Lin-Qing Gao; Chun-Ru Dong (ICMLC, 2010)

2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors. - Chunru Dong; Patrick P. K. Chan; Wing W. Y. Ng; Daniel S. Yeung (ICMLC, 2010)

A survey of the initialization of centers and widths in radial basis function network for classification. - Chunru Dong; Patrick P. K. Chan; Wing W. Y. Ng; Daniel S. Yeung (ICMLC, 2011)

An improved differential evolution and its application to determining feature weights in similarity based clustering. - Chun-Ru Dong; Daniel S. Yeung; Xi-Zhao Wang (ICMLC, 2013)

An improved differential evolution and its application to determining feature weights in similarity-based clustering. - Chunru Dong; Wing W. Y. Ng; Xi-Zhao Wang; Patrick P. K. Chan; Daniel S. Yeung (Neurocomputing, 2014)

A velocity and neighbor density-based broadcast scheme in mobile ad hoc networks. - Dingzhu Lu; Shoubin Dong; Ming Tao 001; Chunru Dong; Bingcheng Qiu (J. High Speed Networks, 2015)

An experimental study on stability and generalization of extreme learning machines. - Ai-Min Fu; Chunru Dong; Lai-Sheng Wang (Int. J. Mach. Learn. Cybern., 2015)

A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning. - Xizhao Wang; Hong-Jie Xing; Yan Li 003; Qiang Hua; Chun-Ru Dong; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2015)

A Novel Approach to Face Verification Based on Second-Order Face-Pair Representation. - Qiang Hua; Chunru Dong; Feng Zhang 021 (Complex., 2018)

Improved variational inference with dynamic routing flow. - Qiang Hua; Liangliang Wei; Chunru Dong; Feng Zhang 021 (Int. J. Mach. Learn. Cybern., 2020)

A model with pseudo-label correction and distribution alignment for image clustering. - Feng Zhang 021; Zi Wei Liu; Chee Peng Lim; Chun-Ru Dong; Qiang Hua (Comput. Electr. Eng., 2022)

Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition. - Feng Zhang 021; Xi-Cheng Li; Chee Peng Lim; Qiang Hua; Chun-Ru Dong; Jun-Hai Zhai (Inf. Fusion, 2022)

Improved deep clustering model based on semantic consistency for image clustering. - Feng Zhang 021; Lin Li; Qiang Hua; Chun-Ru Dong; Boon-Han Lim (Knowl. Based Syst., 2022)

Reparametric Sampling for Small Object Image Recognition. - Qiang Hua; Pan Li; Jiashuai Zhang; Feng Zhang 021; Chunru Dong (Asia Pac. J. Oper. Res., 2023)

Deep Time-Aware Attention Neural Network for Sequential Recommendation. - Qiang Hua; Liyou Chen; Chunru Dong; Pan Li; Feng Zhang 021 (Asia Pac. J. Oper. Res., 2023)

A Multiscale Global-Local Transformer for Long-Sequence PV Power Generation Forecasting. - Tian-Yang Deng; Wen-Li Li; Feng Zhang 021; Qiang Hua; Chun-Ru Dong; Boon-Han Lim (PDCAT, 2024)

Long-Term and Periodicity-Aware Spatio-Temporal Model for Traffic Flow Prediction. - Qiang Hua; DongLiang Lv; Chun-Ru Dong; Feng Zhang 021 (PDCAT, 2024)

Handling Non-stationarity with Distribution Shifts and Data Dependency in Time Series Forecasting. - Qiang Hua; Xiaowen Wang; Feng Zhang 021; Chun-Ru Dong (PDCAT, 2024)

Feature Norm-Aware and Hardness-Guided Complementary Entropy Balanced Loss for Long-Tailed Image Classification. - Feng Zhang 021; Jia-Xin Wang; Qiang Hua; Chun-Ru Dong; Jie Zhu (PDCAT, 2024)

A Multiscale Spatiotemporal Attention Network for Ground-Based Remote Sensing Cloud Image Sequence Prediction. - Feng Zhang 021; Yingying Cheng; Qiang Hua; Chunru Dong; Yong Zhang 001; Tingdong Wu (IEEE Trans. Geosci. Remote. Sens., 2024)

Regularizing Model Predictive Control for pixel-based long-horizon tasks. - Yao-Hui Li; Feng Zhang 021; Qiang Hua; Chun-Ru Dong (Appl. Soft Comput., 2025)

MEAI-Net: Multiview embedding and attention interaction for multivariate time series forecasting. - Chunru Dong; Wenqing Xu; Feng Zhang 021; Qiang Hua; Yong Zhang 001 (Neurocomputing, 2025)

A deep spatiotemporal interaction network for multimodal sentimental analysis and emotion recognition. - Xi-Cheng Li; Feng Zhang 021; Qiang Hua; Chun-Ru Dong (Inf. Sci., 2025)

Multi-modal Few-shot Image Recognition with enhanced semantic and visual integration. - Chunru Dong; Lizhen Wang; Feng Zhang 021; Qiang Hua (Image Vis. Comput., 2025)

A Multi-scale neighbourhood feature interaction network for photovoltaic cell defect detection. - Yu Chen Liu; Qiang Hua; Lin Lin Chen; Chun-Ru Dong; Feng Zhang 021; Yong Zhang 001 (Knowl. Based Syst., 2025)

MSA-HCL: Multimodal sentiment analysis model with hybrid contrastive learning. - Wang Zhao; Yong Zhang 001; Qiang Hua; Chun-Ru Dong; Jia-Nan Wang; Feng Zhang 021 (Math. Found. Comput., 2025)

TFDN: A reliable hybrid time and frequency domain-based model for photovoltaic power generation time series forecasting. - Qiang Hua; HaoRan Chu; Feng Zhang 021; Yong Zhang 001; Chunru Dong (Int. J. Mach. Learn. Cybern., 2025)