An automatic setting for training restricted boltzmann machine. - Chun-Yang Zhang; C. L. Philip Chen (SMC, 2014)

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. - C. L. Philip Chen; Chun-Yang Zhang (Inf. Sci., 2014)

Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning. - C. L. Philip Chen; Chun-Yang Zhang; Long Chen 001; Min Gan (IEEE Trans. Fuzzy Syst., 2015)

A Self-Organizing State Space Type Microstructure Model for Financial Asset Allocation. - Min Gan; Long Chen 001; Chun-Yang Zhang; Hui Peng 001 (IEEE Access, 2016)

Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive. - Chun-Yang Zhang; Dewang Chen; Jiateng Yin; Long Chen 001 (Adv. Eng. Informatics, 2016)

MapReduce based distributed learning algorithm for Restricted Boltzmann Machine. - Chun-Yang Zhang; C. L. Philip Chen; Dewang Chen; Kin Tek Ng (Neurocomputing, 2016)

Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series. - Min Gan; C. L. Philip Chen; Long Chen 001; Chun-Yang Zhang (Int. J. Syst. Sci., 2016)

A flexible and robust train operation model based on expert knowledge and online adjustment. - Chun-Yang Zhang; Dewang Chen; Jiateng Yin; Long Chen 001 (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Deep compression of probabilistic graphical networks. - Chun-Yang Zhang; Qi Zhao; C. L. Philip Chen; Wenxi Liu (Pattern Recognit., 2019)

Extraversion Measure for Crowd Trajectories. - Wenxi Liu; Chun-Yang Zhang; Genggeng Liu; Yaru Su; Neil N. Xiong (IEEE Trans. Ind. Informatics, 2019)

Graph deconvolutional networks. - Chun-Yang Zhang; Junfeng Hu; Lin Yang; C. L. Philip Chen; Zhiliang Yao (Inf. Sci., 2020)

A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification. - Shuang Feng 001; C. L. Philip Chen; Chun-Yang Zhang (IEEE Trans. Fuzzy Syst., 2020)

Contrastive Graph Representation Learning via Maximizing Mutual Information. - Yuqi Hu; Chun-Yang Zhang (SPAC, 2021)

A New Memory Based on Sequence to Sequence Model for Video Captioning. - Jin-Cheng Lin; Chun-Yang Zhang (SPAC, 2021)

Contrastive Learning Framework by Maximizing Mutual Information for Visual Question Answering. - Rong Lin; Chun-Yang Zhang (SPAC, 2021)

Random clustering forest for extended belief rule-based system. - Nannan Chen; Xiao-Ting Gong; Ying-Ming Wang 001; Chun-Yang Zhang; Yang-Geng Fu (Soft Comput., 2021)

3-D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions. - Chun-Yang Zhang; Yong-Yi Xiao; Jin-Cheng Lin; C. L. Philip Chen; Wenxi Liu; Yu-Hong Tong (IEEE Trans. Cybern., 2022)

STS-DGNN: Vehicle Trajectory Prediction via Dynamic Graph Neural Network With Spatial-Temporal Synchronization. - Feng-Jie Li; Chun-Yang Zhang; C. L. Philip Chen (IEEE Trans. Instrum. Meas., 2023)

A Probabilistic Contrastive Framework for Semi-Supervised Learning. - Huibin Lin; Chun-Yang Zhang; Shiping Wang; Wenzhong Guo (IEEE Trans. Multim., 2023)

Graph Representation Learning With Adaptive Metric. - Chun-Yang Zhang; Hai-Chun Cai; C. L. Philip Chen; Yue-Na Lin; Wu-Peng Fang (IEEE Trans. Netw. Sci. Eng., 2023)

Dynamic Representation Learning via Recurrent Graph Neural Networks. - Chun-Yang Zhang; Zhiliang Yao; Hong-Yu Yao; Feng Huang 007; C. L. Philip Chen (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Fuzzy Representation Learning on Graph. - Chun-Yang Zhang; Yue-Na Lin; C. L. Philip Chen; Hong-Yu Yao; Hai-Chun Cai; Wu-Peng Fang (IEEE Trans. Fuzzy Syst., 2023)

A recurrent graph neural network for inductive representation learning on dynamic graphs. - Hong-Yu Yao; Chun-Yang Zhang; Zhiliang Yao; C. L. Philip Chen; Junfeng Hu (Pattern Recognit., 2024)

Sparse Graph Transformer With Contrastive Learning. - Chun-Yang Zhang; Wu-Peng Fang; Hai-Chun Cai; C. L. Philip Chen; Yue-Na Lin (IEEE Trans. Comput. Soc. Syst., 2024)

Fuzzy Representation Learning on Dynamic Graphs. - Hong-Yu Yao; Yuanlong Yu; Chun-Yang Zhang; Yue-Na Lin; Shang-Jia Li (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A new robust contrastive learning for unsupervised person re-identification. - Huibin Lin; Hai-Tao Fu; Chun-Yang Zhang; C. L. Philip Chen (Int. J. Mach. Learn. Cybern., 2024)

Graph Representation Learning via Contrasting Cluster Assignments. - Chun-Yang Zhang; Hong-Yu Yao; C. L. Philip Chen; Yue-Na Lin (IEEE Trans. Cogn. Dev. Syst., 2024)

Multiple Views to Free Graph Augmentations. - Yue-Na Lin; Hai-Chun Cai; Chun-Yang Zhang; C. L. Philip Chen (IEEE Trans. Comput. Soc. Syst., 2024)

Fuzzy Neural Network for Representation Learning on Uncertain Graphs. - Yue-Na Lin; Hai-Chun Cai; Chun-Yang Zhang; Hong-Yu Yao; C. L. Philip Chen (IEEE Trans. Fuzzy Syst., 2024)

Unsupervised Domain Adaptation on Point Clouds via High-Order Geometric Structure Modeling. - Jiang-Xing Cheng; Huibin Lin; Chun-Yang Zhang; C. L. Philip Chen (IEEE Trans. Artif. Intell., 2024)

Low-Overlap Point Cloud Registration via Correspondence Augmentation. - Zhi-Huang Lin; Chun-Yang Zhang; Xue-Ming Lin; Huibin Lin; Gui-Huang Zeng; C. L. Philip Chen (IEEE Trans Autom. Sci. Eng., 2025)

Prompt Learning for Few-Shot Question Answering via Self-Context Data Augmentation. - Jian-Qiang Qiu; Chun-Yang Zhang; C. L. Philip Chen (IEEE Trans. Artif. Intell., 2025)

Robust decision-making for autonomous vehicles via deep reinforcement learning and expert guidance. - Feng-Jie Li; Chun-Yang Zhang; C. L. Philip Chen (Appl. Intell., 2025)

Contextual Distribution Alignment via Correlation Contrasting for Domain Generalization. - Huibin Lin; Chun-Yang Zhang; C. L. Philip Chen (IEEE Trans. Circuits Syst. Video Technol., 2025)

Adaptive Multidocument Summarization Via Graph Representation Learning. - Gui-Huang Zeng; Yan-Qin Liu; Chun-Yang Zhang; Hai-Chun Cai; C. L. Philip Chen (IEEE Trans. Cogn. Dev. Syst., 2025)

Investigating All Uncertainties in Hypergraph Representation Learning and Inference. - Hong-Yu Yao; Chun-Yang Zhang; Qian-Xi Tang; C. L. Philip Chen (IEEE Trans. Fuzzy Syst., 2025)