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Journal Articles
- 2025
[j27]Feng-Jie Li, Chun-Yang Zhang
, C. L. Philip Chen:
Robust decision-making for autonomous vehicles via deep reinforcement learning and expert guidance. Appl. Intell. 55(6): 412 (2025)- 2024
- [j26]Huibin Lin, Hai-Tao Fu, Chun-Yang Zhang, C. L. Philip Chen:
A new robust contrastive learning for unsupervised person re-identification. Int. J. Mach. Learn. Cybern. 15(5): 1779-1793 (2024) - [j25]Hong-Yu Yao, Chun-Yang Zhang, Zhiliang Yao, C. L. Philip Chen, Junfeng Hu:
A recurrent graph neural network for inductive representation learning on dynamic graphs. Pattern Recognit. 154: 110577 (2024) - [j24]Jiang-Xing Cheng, Huibin Lin, Chun-Yang Zhang, C. L. Philip Chen:
Unsupervised Domain Adaptation on Point Clouds via High-Order Geometric Structure Modeling. IEEE Trans. Artif. Intell. 5(12): 6121-6133 (2024) - [j23]Chun-Yang Zhang, Hong-Yu Yao, C. L. Philip Chen, Yue-Na Lin:
Graph Representation Learning via Contrasting Cluster Assignments. IEEE Trans. Cogn. Dev. Syst. 16(3): 912-922 (2024) - [j22]Chun-Yang Zhang, Wu-Peng Fang, Hai-Chun Cai, C. L. Philip Chen, Yue-Na Lin:
Sparse Graph Transformer With Contrastive Learning. IEEE Trans. Comput. Soc. Syst. 11(1): 892-904 (2024) - [j21]Yue-Na Lin, Hai-Chun Cai, Chun-Yang Zhang, C. L. Philip Chen:
Multiple Views to Free Graph Augmentations. IEEE Trans. Comput. Soc. Syst. 11(3): 3920-3930 (2024) - [j20]Yue-Na Lin, Hai-Chun Cai, Chun-Yang Zhang, Hong-Yu Yao, C. L. Philip Chen:
Fuzzy Neural Network for Representation Learning on Uncertain Graphs. IEEE Trans. Fuzzy Syst. 32(9): 5259-5271 (2024) - [j19]Hong-Yu Yao, Yuanlong Yu, Chun-Yang Zhang, Yue-Na Lin, Shang-Jia Li:
Fuzzy Representation Learning on Dynamic Graphs. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 878-890 (2024) - 2023
- [j18]Chun-Yang Zhang, Yue-Na Lin, C. L. Philip Chen, Hong-Yu Yao, Hai-Chun Cai, Wu-Peng Fang:
Fuzzy Representation Learning on Graph. IEEE Trans. Fuzzy Syst. 31(10): 3358-3370 (2023) - [j17]Feng-Jie Li, Chun-Yang Zhang, C. L. Philip Chen:
STS-DGNN: Vehicle Trajectory Prediction via Dynamic Graph Neural Network With Spatial-Temporal Synchronization. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j16]Huibin Lin, Chun-Yang Zhang, Shiping Wang, Wenzhong Guo:
A Probabilistic Contrastive Framework for Semi-Supervised Learning. IEEE Trans. Multim. 25: 8767-8779 (2023) - [j15]Chun-Yang Zhang, Hai-Chun Cai, C. L. Philip Chen, Yue-Na Lin, Wu-Peng Fang:
Graph Representation Learning With Adaptive Metric. IEEE Trans. Netw. Sci. Eng. 10(4): 2074-2085 (2023) - [j14]Chun-Yang Zhang, Zhiliang Yao, Hong-Yu Yao, Feng Huang, C. L. Philip Chen:
Dynamic Representation Learning via Recurrent Graph Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 1284-1297 (2023) - 2022
- [j13]Chun-Yang Zhang, Yong-Yi Xiao, Jin-Cheng Lin, C. L. Philip Chen, Wenxi Liu, Yu-Hong Tong:
3-D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions. IEEE Trans. Cybern. 52(1): 398-410 (2022) - 2021
- [j12]Nannan Chen, Xiao-Ting Gong, Ying-Ming Wang, Chun-Yang Zhang, Yang-Geng Fu:
Random clustering forest for extended belief rule-based system. Soft Comput. 25(6): 4609-4619 (2021) - 2020
- [j11]Chun-Yang Zhang, Junfeng Hu, Lin Yang, C. L. Philip Chen, Zhiliang Yao:
Graph deconvolutional networks. Inf. Sci. 518: 330-340 (2020) - [j10]Shuang Feng, C. L. Philip Chen, Chun-Yang Zhang:
A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification. IEEE Trans. Fuzzy Syst. 28(7): 1344-1355 (2020) - 2019
- [j9]Chun-Yang Zhang, Qi Zhao, C. L. Philip Chen, Wenxi Liu:
Deep compression of probabilistic graphical networks. Pattern Recognit. 96 (2019) - [j8]Wenxi Liu, Chun-Yang Zhang, Genggeng Liu, Yaru Su, Neil N. Xiong:
Extraversion Measure for Crowd Trajectories. IEEE Trans. Ind. Informatics 15(12): 6334-6343 (2019) - 2017
- [j7]Chun-Yang Zhang, Dewang Chen, Jiateng Yin, Long Chen:
A flexible and robust train operation model based on expert knowledge and online adjustment. Int. J. Wavelets Multiresolution Inf. Process. 15(3): 1750023:1-1750023:27 (2017) - 2016
- [j6]Min Gan, Long Chen, Chun-Yang Zhang, Hui Peng:
A Self-Organizing State Space Type Microstructure Model for Financial Asset Allocation. IEEE Access 4: 8035-8043 (2016) - [j5]Chun-Yang Zhang, Dewang Chen, Jiateng Yin, Long Chen:
Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive. Adv. Eng. Informatics 30(3): 553-563 (2016) - [j4]Chun-Yang Zhang, C. L. Philip Chen, Dewang Chen, Kin Tek Ng:
MapReduce based distributed learning algorithm for Restricted Boltzmann Machine. Neurocomputing 198: 4-11 (2016) - [j3]Min Gan, C. L. Philip Chen, Long Chen, Chun-Yang Zhang:
Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series. Int. J. Syst. Sci. 47(8): 1868-1876 (2016) - 2015
- [j2]C. L. Philip Chen, Chun-Yang Zhang, Long Chen, Min Gan:
Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning. IEEE Trans. Fuzzy Syst. 23(6): 2163-2173 (2015) - 2014
- [j1]C. L. Philip Chen, Chun-Yang Zhang:
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Inf. Sci. 275: 314-347 (2014)
Conference and Workshop Papers
- 2021
- [c4]Jin-Cheng Lin, Chun-Yang Zhang:
A New Memory Based on Sequence to Sequence Model for Video Captioning. SPAC 2021: 470-476 - [c3]Yuqi Hu, Chun-Yang Zhang:
Contrastive Graph Representation Learning via Maximizing Mutual Information. SPAC 2021: 477-482 - [c2]Rong Lin, Chun-Yang Zhang:
Contrastive Learning Framework by Maximizing Mutual Information for Visual Question Answering. SPAC 2021: 483-488 - 2014
- [c1]Chun-Yang Zhang, C. L. Philip Chen:
An automatic setting for training restricted boltzmann machine. SMC 2014: 4037-4041
Informal and Other Publications
- 2021
- [i1]Chun-Yang Zhang, Hongyu Yao, C. L. Philip Chen, Yue-Na Lin:
Graph Representation Learning via Contrasting Cluster Assignments. CoRR abs/2112.07934 (2021)
Coauthor Index
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