代表性工作

Paper

• C. L. Philip Chen, Zhulin Liu and Shuang Feng, "Universal Approximation Capability of Broad Learning System and Its Structural Variations," IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 4, pp. 1191-1204, Apr. 2019.(SCI)
• Shuang Feng and C. L. Philip Chen(*), "Fuzzy broad learning system:A novel neuro-fuzzy model for regression and classification," IEEE Transactions on Cybernetics, vol. 50, no. 2, pp. 414-424, Feb. 2020.(SCI)
• Shuai Sui, CL Philip Chen(*), Shaocheng Tong, Suang Feng,Finite-Time Adaptive Quantized control of Stochastic Nonlinear Systems with Input Quantization: A BLS-Based Identification Method, IEEE Transactions on Industrial Electronics, Oct. 2019.(SCI)
• Shanling Dong, CL Philip Chen(*), Mei Fang, Zheng-Guang Wu, Dissipativity-Based Asynchronous Fuzzy Sliding Mode Control for TS Fuzzy Hidden Markov Jump Systems, IEEE transactions on cybernetics,Jul. 2019.
• Lijie Wang, CL Philip Chen(*), Adaptive fuzzy dynamic surface control of nonlinear constrained systems with unknown virtual control coefficients, IEEE Transactions on Fuzzy Systems, Jun. 2019.(SCI)
• C. L. Philip Chen and Zhulin Liu, "Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture," IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 1, pp. 10-24, Jan. 2018.(SCI)
• Tong Zhang, C. L. Philip Chen(*), Long Chen, Xiangmin Xu and Bin Hu, "Design of Highly Nonlinear Substitution Boxes Based on I-Ching Operators," IEEE Transactions on Cybernetics, vol. 48, no. 12, pp. 3349-3358, Dec. 2018.(SCI)
• C. L. Philip Chen, Chang-E Ren, and Tao Du, "Fuzzy Observed-Based Adaptive Consensus Tracking Control for Second-Order Multiagent Systems with Heterogeneous Nonlinear Dynamics," IEEE Transactions on Fuzzy Systems, vol. 24, no. 4, pp. 906-915, 1 Aug. 2016.(SCI)
• C. L. Philip Chen, Chunyang Zhang, Long Chen and Min Gan, "Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning," IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2163-2173, Dec. 2015.(SCI)
• C. L. Philip Chen, Guoxing Wen, Yanjun Liu and Zhi Liu, "Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems," IEEE Transactions on Cybernetics, vol. 46, no. 7, pp. 1591-1601, Jul. 2016.(SCI)
• C. L. Philip Chen and Chunyang Zhang, "Data-Intensive Applications, Challenges, Techniques and Technologies: A Survey on Big Data," Information Sciences, Vol. 275, pp. 314–347, Aug. 2014.(SCI)
• C. L. Philip Chen, Guoxing Wen, Yanjun Liu, and Feiyue Wang, "Adaptive Consensus Control for a Class of Nonlinear Multi-agent Time-delay Systems using Neural Networks," IEEE Transactions On Neural Networks and Learning Systems, vol. 25, No. 6, pp. 1217-1226, Jun. 2014.(SCI)
• C. L. Philip Chen, Hong Li, Yantao Wei, Tian Xia, and Yuanyan Tang, "A Local Contrast Method for Small Infrared Target Detection," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 574-581, Jan. 2014.(SCI)
• C. L. Philip Chen, Yanjun Liu and Guoxing Wen, "Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems," IEEE Transactions on Cybernetics, vol. 44, no. 5, pp. 583-593, May. 2014.(SCI)
• C. L. Philip Chen, Licheng Liu, Long Chen, Yuanyan Tang, and Yicong Zhou, "Weighted Couple Sparse Representation with Classified Regularization for Impulse Noise Removal," IEEE Transactions on Image Processing, vol. 24, No. 11, pp. 4014-4026, Nov. 2015. (SCI)
• Junwei Jin, Zhulin Liu, C. L. Philip Chen(*), "Discriminative graph regularized broad learning system for image recognition," Science China: Information Sciences, 61 (11), 1-14, Oct.2018.(SCI)
• Dengxiu Yu, C. L. Philip Chen(*), Chang-E Ren, and Shuai Sui, "Swarm control for self-organized system with fixed and switching topology," IEEE Transactions on Cybernetics, pp. 1-14, Dec. 2019. (SCI)
• Yikai Li; Tong Zhang*; C.L. Philip Chen, "Enhanced Broad Siamese Network for Facial Emotion Recognition in Human-Robot Interaction," in IEEE Transactions on Artificial Intelligence, doi:
• Hongbo Gao; Juping Zhu; Tong Zhang*; Guotao Xie; Zhen Kan; Zhengyuan Hao; Kang Liu, "Situational Assessment for Intelligent Vehicles Based on Stochastic Model and Gaussian Distributions in Typical Traffic Scenarios," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2020.3019512.(*Corresponding Author, SCI)
• T. Zhang, C. Lei, Z. Zhang, X. -B. Meng and C. L. P. Chen, "AS-NAS: Adaptive Scalable Neural Architecture Search with Reinforced Evolutionary Algorithm for Deep Learning," in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2021.3061466.(SCI)
• Tong Zhang, X. Gong, and C. L. P. Chen, “BMT-Net: Broad Multi-task Transformer Network for Sentiment Analysis”, IEEE Transactions on Cybernetics, in press, (SCI)
• Tong Zhang; Yuan Zong; Wenming Zheng; C. L. Philip Chen; Xiaopeng Hong; Chuangao Tang; Zhen Cui; Guoying Zhao; Cross-Database Micro-Expression Recognition: A Benchmark, IEEE Transactions on Knowledge and Data Engineering. DOI: 10.1109/TKDE.2020.2985365. (SCI)
• Jiang, Y., Xu, J. Tong Zhang*. View-independent representation with frame interpolation method for skeleton-based human action recognition. Int. J. Mach. Learn. & Cyber. (2020).(*Corresponding Author, SCI)
• H. Huang, Tong Zhang#, C. Yang and C. L. P. Chen, "Motor Learning and Generalization Using Broad Learning Adaptive Neural Control," in IEEE Transactions on Industrial Electronics, Nov.2019. (Joint first author, SCI)
• Tong Zhang, X. Wang, X. Xu and C. L. P. Chen, "GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition," in IEEE Transactions on Affective Computing, Aug. 2019. (SCI)
• Tong Zhang, G. Su, C. Qing, X. Xu, B. Cai and X. Xing, "Hierarchical Lifelong Learning by Sharing Representations and Integrating Hypothesis," in IEEE Transactions on Systems, Man, and Cybernetics: Systems. PP. 1-11, Feb. 2019. (SCI)
• P Lin, Tong Zhang*, M Xia, J Zhou, P Nie, "Cross-lingual analysis of English and Chinese web search," International Journal of Web and Grid Services, 14(4): 376-399, 2018. (*Corresponding Author, SCI)
• Tong Zhang, L Chen, CLP Chen, "Clustering algorithm based on spatial shadowed fuzzy c-means and i-ching operators," International Journal of Fuzzy Systems 18(4): 609-617, 2016. (SCI)
• Zhiwen Yu, Zhongfan Zhang, Wenming Cao, C. L. Philip Chen, Cheng Liu, Hau-San Wong, “ GAN-Based Enhanced Deep Subspace Clustering Networks ”, IEEE Transactions on Knowledge and Data Engineering, 2020. DOI: 10.1109/TKDE.2020.3025301
• Yuhong Xu, Zhiwen Yu*, Wenming Cao, C. L. Philip Chen, A Novel Classifier Ensemble Method Based on Subspace Enhancement for HighDimensional Data Classification, IEEE Transactions on Knowledge and Data Engineering, 2021.
• Kaixiang Yang, Zhiwen Yu*, C. L. Philip Chen, Wenming Cao, Jane J. You, Hau-San Wong, “Incremental Weighted Ensemble Broad Learning System For Imbalanced Data”, IEEE Transactions on Knowledge and Data Engineering, 2021. DOI: 10.1109/TKDE.2021.3061428.
• Yuhong Xu, Zhiwen Yu*, Wenming Cao, C. L. Philip Chen, Jane You, Adaptive Classifier Ensemble Method Based on Spatial Perception for High-Dimensional Data Classification, IEEE Transactions on Knowledge and Data Engineering, 2020. DOI: 10.1109/TKDE.2019.2961076
• Zhiwen Yu, Peinan Luo, Jiming Liu Hau-San Wong, Jane You, Guoqiang Han Jun Zhang, “Semi-supervised ensemble clustering based on selected constraint projection”, IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 12, pp. 2394-2407, 1 Dec. 2018.
• Zhiwen Yu, Zongqiang Kuang, Jiming Liu, Hongsheng Chen, Jun Zhang, Jane You, Hau-San Wong, Guoqiang Han, “Adaptive ensembling of semi-supervised clustering solutions”, IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 8, pp. 1577-1590, Aug. 1 2017.
• Zhiwen Yu, Peinan Luo, Jane You, Hau-San Wong, Hareton Leung, Si Wu, Jun Zhang, Guoqiang Han，Incremental Semi-supervised Clustering Ensemble for High Dimensional Data Clustering, IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 3, pp. 701-714, 2016.
• Zhiwen Yu, Le Li, Jiming Liu, Jun Zhang, Guoqiang Han, Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation, IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 12, pp. 3176-3189, 2015.
• Zhiwen Yu, Fengxu Ye, Wenming Cao, Kaixiang Yang, C. L. Philip Chen, Lianglun Cheng, Jane You, Hau-San Wong, “SemiSupervised Classification with Novel Graph Construction for High Dimensional Data”, IEEE Transactions on Neural Networks and Learning Systems, 2020. DOI 10.1109/TNNLS.2020.3027526
• Kaixiang Yang, Zhiwen Yu*, Xin Wen, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Jane You, “Hybrid Classifier Ensemble for Imbalanced Data”, IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 4, pp. 1387-1400, 2020.
• Yifan Shi, Zhiwen Yu*, C. L. Philip Chen, Jane You, Hau-San Wong, Yide Wang and Jun Zhang, "Transfer Clustering Ensemble Selection", IEEE Transactions on Cybernetics, vol. 50, no. 6, pp. 2872-2885, June 2020, doi: 10.1109/TCYB.2018.2885585.
• Yifan Shi, Zhiwen Yu*, Wenming Cao, C. L. Philip Chen, Hau-San Wong and Guoqiang Han, "Fast and Effective Active Clustering Ensemble Based on Density Peak", IEEE
• Xibin Dong, Zhiwen Yu*, Wenming Cao, Yifan Shi and Qianli Ma, "A survey on ensemble learning", Frontiers of Computer Science, vol. 14, no. 2, pp. 241-258, 2020.