Research on QoS Routing Algorithm in ad hoc networks. - Yue Zeng 001; Baolin Sun; Xianying He; Zhulin Liu (GrC, 2009)

EJB-Based Information Exchange Platform E-Switch for E-Government. - Zhulin Liu; Tiezhong Yu (ICEE, 2010)

Broad learning system: Structural extensions on single-layer and multi-layer neural networks. - Zhulin Liu; C. L. Philip Chen (SPAC, 2017)

Approximation learning methods of Harmonic Mappings in relation to Hardy Spaces. - Zhulin Liu; C. L. Philip Chen (CoRR, 2017)

Facial Expression Recognition via Broad Learning System. - Tong Zhang 015; Zhulin Liu; Xuehan Wang; Xiao-Fen Xing; C. L. Philip Chen; Enhong Chen (SMC, 2018)

Discriminative graph regularized broad learning system for image recognition. - Junwei Jin 001; Zhulin Liu; C. L. Philip Chen (Sci. China Inf. Sci., 2018)

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture. - C. L. Philip Chen; Zhulin Liu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multi-Kernel Broad Learning systems Based on Random Features: A Novel Expansion for Nonlinear Feature Nodes. - Zhulin Liu; C. L. Philip Chen; Tong Zhang 015; Jin Zhou 003 (SMC, 2019)

Universal Approximation Capability of Broad Learning System and Its Structural Variations. - C. L. Philip Chen; Zhulin Liu; Feng Shuang 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multi-Channel EEG Based Emotion Recognition Using Temporal Convolutional Network and Broad Learning System. - Xue Jia; Tong Zhang 015; C. L. Philip Chen; Zhulin Liu; Long Chen 001; Guihua Wen; Bin Hu 001 (SMC, 2020)

A Novel Convolutional Variation of Broad Learning System for Alzheimer's Disease Diagnosis by Using MRI Images. - Ruizhi Han; C. L. Philip Chen; Zhulin Liu (IEEE Access, 2020)

Pruning Broad Learning System based on Adaptive Feature Evolution. - Yuchen Liu; Kaixiang Yang; Zhiwen Yu 002; Zhulin Liu; Yifan Shi; C. L. Philip Chen (IJCNN, 2021)

An Efficient Algorithm for the Incremental Broad Learning System by Inverse Cholesky Factorization of a Partitioned Matrix. - Hufei Zhu; Zhulin Liu; C. L. Philip Chen; Yanyang Liang (IEEE Access, 2021)

Siamese Labels Auxiliary Network(SiLaNet). - Wenrui Gan; Zhulin Liu; C. L. Philip Chen; Tong Zhang 015 (CoRR, 2021)

On the Accuracy-Complexity Tradeoff of Fuzzy Broad Learning System. - Shuang Feng 001; C. L. Philip Chen; Lili Xu; Zhulin Liu (IEEE Trans. Fuzzy Syst., 2021)

Stacked Broad Learning System: From Incremental Flatted Structure to Deep Model. - Zhulin Liu; C. L. Philip Chen; Shuang Feng 001; Qiying Feng; Tong Zhang 015 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Multi-scale 3D convolution feature-based Broad Learning System for Alzheimer's Disease diagnosis via MRI images. - Ruizhi Han; Zhulin Liu; C. L. Philip Chen (Appl. Soft Comput., 2022)

Broad learning system based on the quantized minimum error entropy criterion. - Simin Zhang; Zhulin Liu; C. L. Philip Chen (Sci. China Inf. Sci., 2022)

Broad and deep neural network for high-dimensional data representation learning. - Qiying Feng; Zhulin Liu; C. L. Philip Chen (Inf. Sci., 2022)

Research Review for Broad Learning System: Algorithms, Theory, and Applications. - Xin-Rong Gong; Tong Zhang 015; C. L. Philip Chen; Zhulin Liu (IEEE Trans. Cybern., 2022)

Progressive Ensemble Kernel-Based Broad Learning System for Noisy Data Classification. - Zhiwen Yu 002; Kankan Lan; Zhulin Liu; Guoqiang Han (IEEE Trans. Cybern., 2022)

An Efficient Inspection System Based on Broad Learning: Nondestructively Estimating Cement Compressive Strength With Internal Factors. - Jifeng Guo; Zhulin Liu; C. L. Philip Chen; Tong Zhang 015; Lin Wang 004; Kaipeng Fan (IEEE Trans. Ind. Informatics, 2022)

Random Feature-Based Collaborative Kernel Fuzzy Clustering for Distributed Peer-to-Peer Networks. - Yingxu Wang 002; Shiyuan Han; Jin Zhou 003; Long Chen 001; C. L. Philip Chen; Tong Zhang 015; Zhulin Liu; Lin Wang 004; Yuehui Chen (IEEE Trans. Fuzzy Syst., 2023)

Siamese labels auxiliary learning. - Wenrui Gan; Zhulin Liu; C. L. Philip Chen; Tong Zhang 015 (Inf. Sci., 2023)

Adaptive Subspace Optimization Ensemble Method for High-Dimensional Imbalanced Data Classification. - Yuhong Xu; Zhiwen Yu 002; C. L. Philip Chen; Zhulin Liu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Architecture and Aggregation Strategies of Federated Broad Learning System: a Feasibility Study. - Xueyue Yang; Zhulin Liu; C. L. Philip Chen (SMC, 2024)

Incremental Self-training for Semi-supervised Learning. - Jifeng Guo; Zhulin Liu; Tong Zhang 015; C. L. Philip Chen (CoRR, 2024)

An efficient implementation to compute the pseudoinverse for the incremental broad learning system on added inputs. - Hufei Zhu; Zhulin Liu; C. L. Philip Chen; Yanyang Liang (Int. J. Wavelets Multiresolution Inf. Process., 2024)

A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models. - Yongbin Guo; Shuzhen Li; Zhulin Liu; Tong Zhang 015; C. L. Philip Chen (ACL (1), 2025)

Dynamic Neural Network Structure: A Review for its Theories and Applications. - Jifeng Guo; C. L. Philip Chen; Zhulin Liu; Xixin Yang (IEEE Trans. Neural Networks Learn. Syst., 2025)

An Incremental-Self-Training-Guided Semi-Supervised Broad Learning System. - Jifeng Guo; Zhulin Liu; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)