Delay Time Identification and Dynamic Characteristics Study on ANN Soft Sensor. - Dianlin Du; Chongguang Wu; Xionglin Luo; Xin Zuo (ISDA (1), 2006)

The Expression of Control Law for Zone Constraints Predictive Control. - Xiling Zhang; Xionglin Luo; Shubin Wang (AICI (2), 2011)

Synthesis of multipass heat exchanger networks based on pinch technology. - Lin Sun; Xionglin Luo (Comput. Chem. Eng., 2011)

Density Based Grid Clustering Partition of the Input Space for RBF Neural Network. - Ping Wei; Wenbo Liu; Xin Zuo; Xionglin Luo (AICI, 2012)

Contrastive divergence learning for the Restricted Boltzmann Machine. - Jian-Wei Liu 006; Guang-Hui Chi; Xiong-Lin Luo (ICNC, 2013)

Margin design, online optimization, and control approach of a heat exchanger network with bypasses. - Xionglin Luo; Chekui Xia; Lin Sun (Comput. Chem. Eng., 2013)

Iterative Reweighted Noninteger Norm Regularizing SVM for Gene Expression Data Classification. - Jianwei Liu 006; Shuang Cheng Li; Xionglin Luo (Comput. Math. Methods Medicine, 2013)

Multiple source domain adaptation: A bound using p-norm covering numbers. - Jianwei Liu 006; Jiajia Zhou; Xionglin Luo (TAAI, 2015)

Multiple source domain adaptation: A sharper bound using weighted Rademacher complexity. - Jianwei Liu 006; Jiajia Zhou; Xionglin Luo (TAAI, 2015)

Rademacher complexity bound for domain adaptation regression. - Jiajia Zhou; Jianwei Liu 006; Xionglin Luo (TAAI, 2015)

概率图模型推理方法的研究进展 (Research and Development on Inference Technique in Probabilistic Graphical Models). - Jianwei Liu 006; Lipeng Cui; Haien Li; Xionglin Luo (计算机科学, 2015)

Performance analysis of multi-innovation stochastic Newton recursive algorithms. - Pengfei Cao; Xionglin Luo (Digit. Signal Process., 2016)

Robust L1 dynamic output feedback control for a class of networked control systems based on T-S fuzzy model. - Yanhui Li; Qi Zhang; Xionglin Luo (Neurocomputing, 2016)

Basis-dependent and delay-dependent results on robust L1 filtering for networked control systems. - Yanhui Li; Qi Zhang; Xiu-Jie Zhou; Xionglin Luo (J. Frankl. Inst., 2016)

结构稀疏模型及其算法研究进展 (Research and Development on Structured Sparse Models and Algorithms). - Jian-Wei Liu 006; Lipeng Cui; Xionglin Luo (计算机科学, 2016)

Minimal Conjunctive Normal Expression of Continuous Piecewise Affine Functions. - Jun Xu 008; Ton J. J. van den Boom; Bart De Schutter; Xiong-Lin Luo (IEEE Trans. Autom. Control., 2016)

Group variable selection and parameter estimation via Group Berhu method. - Jian-Wei Liu 006; Lipeng Cui; Xiong-Lin Luo (ICMLC, 2017)

A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's t-distribution noises. - Zhu Wang 012; Xionglin Luo (J. Frankl. Inst., 2017)

Rank Pruning Approach for Noisy Multi-label Learning. - Siming Lian; Jianwei Liu 006; Runkun Lu; Xionglin Luo (SMC, 2018)

Online Learning Algorithm Based on Adaptive Control Theory. - Jianwei Liu 006; Jiajia Zhou; Mohamed S. Kamel; Xiong-Lin Luo (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multi-View Capsule Network. - Jianwei Liu 006; Xi-hao Ding; Runkun Lu; Yuanfeng Lian; Dianzhong Wang; Xionglin Luo (ICANN (1), 2019)

DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data. - Jianwei Liu 006; Feng Gao; Runkun Lu; Yuanfeng Lian; Dianzhong Wang; Xionglin Luo; Chu-ran Wang (ICANN (1), 2019)

Phase Retrieval via Wirtinger Flow Algorithm and Its Variants. - Jianwei Liu 006; Zhi-Juan Cao; Jing Liu; Xiong-Lin Luo; Weimin Li 001; Nobuyasu Ito; Long-Chuan Guo (ICMLC, 2019)

FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data. - Jianwei Liu 006; Feng Gao; Runkun Lu; Yuanfeng Lian; Dianzhong Wang; Xionglin Luo; Chu-ran Wang (IJCNN, 2019)

Captured multi-label relations via joint deep supervised autoencoder. - Siming Lian; Jianwei Liu 006; Runkun Lu; Xionglin Luo (Appl. Soft Comput., 2019)

Levy-particle swarm optimization intelligent search-based iterative identification for nonparametric models of bilinear systems with Gaussian mixture noises. - Zhu Wang 012; Likai Zhao; Xionglin Luo (Trans. Inst. Meas. Control, 2019)

Learning Disentangled Representations with Attentive Joint Variational Autoencoder. - Wen-tao Li; Jianwei Liu 006; Xiu-yan Chen; Xiong-Lin Luo (ICONIP (5), 2020)

Partially Disentangled Latent Relations for Multi-label Deep Learning. - Siming Lian; Jianwei Liu 006; Xiong-Lin Luo (ICONIP (2), 2020)

Multi-view Subspace Adaptive Learning via Autoencoder and Attention. - Jianwei Liu 006; Hao-jie Xie; Runkun Lu; Xiong-Lin Luo (ICONIP (2), 2020)

An Improved Latent Low Rank Representation for Automatic Subspace Clustering. - Ya-nan Han; Jianwei Liu 006; Xiong-Lin Luo (IJCAI, 2020)

Adaptive filtering-based recursive identification for time-varying Wiener output-error systems with unknown noise statistics. - Zhu Wang 012; Haoran An; Xionglin Luo (J. Frankl. Inst., 2020)

Wiener structure based adaptive control for dynamic processes with approximate monotonic nonlinearities. - Zhu Wang 012; Likai Zhao; Xionglin Luo (J. Frankl. Inst., 2020)

Bilevel Online Deep Learning in Non-stationary Environment. - Ya-nan Han; Jian-wei Liu 006; Bing-biao Xiao; Xin-Tan Wang; Xionglin Luo (ICANN (2), 2021)

Partially disentangled latent relations for multi-label deep learning. - Siming Lian; Jianwei Liu 006; Runkun Lu; Xionglin Luo (Neural Comput. Appl., 2021)

GMM discriminant analysis with noisy label for each class. - Jianwei Liu 006; Zheng-ping Ren; Runkun Lu; Xiong-Lin Luo (Neural Comput. Appl., 2021)

Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity. - Jian-wei Liu 006; Xi-hao Ding; Runkun Lu; Xionglin Luo (CoRR, 2022)

Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss. - Jian-wei Liu 006; Yuan-Fang Wang; Runkun Lu; Xionglin Luo (CoRR, 2022)

Non-convex logarithm embedding subspace weighted graph approach to fault detection with missing measurements. - Ming-Qing Zhang; Anikesh Kumar; Min-Sen Chiu; Xiong-Lin Luo (Neurocomputing, 2022)

Explaining deep residual networks predictions with symplectic adjoint method. - Xia Lei; Jia-Jiang Lin; Xiong-Lin Luo; Yongkai Fan (Comput. Sci. Inf. Syst., 2023)

Static and incremental robust kernel factorization embedding graph regularization supporting ill-conditioned industrial data recovery. - Ming-Qing Zhang; Xiong-Lin Luo (Expert Syst. Appl., 2023)

Nonconvex sensitivity-based generalized Benders decomposition. - Jia-Jiang Lin; Feng Xu; Xiong-Lin Luo (J. Glob. Optim., 2023)

On fine-grained visual explanation in convolutional neural networks. - Xia Lei; Yongkai Fan; Xiong-Lin Luo (Digit. Commun. Networks, 2023)