Xionglin Luo

According to our database, Xionglin Luo authored at least 42 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

On fine-grained visual explanation in convolutional neural networks.

Xia Lei, Yongkai Fan, Xiong-Lin Luo

Digit. Commun. Networks, October, 2023

Nonconvex sensitivity-based generalized Benders decomposition.

Jia-Jiang Lin, Feng Xu, Xiong-Lin Luo

J. Glob. Optim., May, 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

Explaining deep residual networks predictions with symplectic adjoint method.

Xia Lei, Jia-Jiang Lin, Xiong-Lin Luo, Yongkai Fan

Comput. Sci. Inf. Syst., 2023

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

Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss.

Jian-wei Liu, Yuan-fang Wang, Runkun Lu, Xionglin Luo

CoRR, 2022

Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity.

Jian-wei Liu, Xi-hao Ding, Runkun Lu, Xionglin Luo

CoRR, 2022

2021

GMM discriminant analysis with noisy label for each class.

Jianwei Liu, Zheng-ping Ren, Runkun Lu, Xiong-Lin Luo

Neural Comput. Appl., 2021

Partially disentangled latent relations for multi-label deep learning.

Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo

Neural Comput. Appl., 2021

Bilevel Online Deep Learning in Non-stationary Environment.

Ya-nan Han, Jian-wei Liu, Bing-biao Xiao, Xin-Tan Wang, Xionglin Luo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Wiener structure based adaptive control for dynamic processes with approximate monotonic nonlinearities.

Zhu Wang, Likai Zhao, Xionglin Luo

J. Frankl. Inst., 2020

Adaptive filtering-based recursive identification for time-varying Wiener output-error systems with unknown noise statistics.

Zhu Wang, Haoran An, Xionglin Luo

J. Frankl. Inst., 2020

An Improved Latent Low Rank Representation for Automatic Subspace Clustering.

Ya-nan Han, Jianwei Liu, Xiong-Lin Luo

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-view Subspace Adaptive Learning via Autoencoder and Attention.

Jianwei Liu, Hao-jie Xie, Runkun Lu, Xiong-Lin Luo

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Partially Disentangled Latent Relations for Multi-label Deep Learning.

Siming Lian, Jianwei Liu, Xiong-Lin Luo

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Learning Disentangled Representations with Attentive Joint Variational Autoencoder.

Wen-tao Li, Jianwei Liu, Xiu-yan Chen, Xiong-Lin Luo

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Levy-particle swarm optimization intelligent search-based iterative identification for nonparametric models of bilinear systems with Gaussian mixture noises.

Zhu Wang, Likai Zhao, Xionglin Luo

Trans. Inst. Meas. Control, 2019

Captured multi-label relations via joint deep supervised autoencoder.

Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo

Appl. Soft Comput., 2019

FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data.

Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang

Proceedings of the International Joint Conference on Neural Networks, 2019

Phase Retrieval via Wirtinger Flow Algorithm and Its Variants.

Jianwei Liu, Zhi-Juan Cao, Jing Liu, Xiong-Lin Luo, Weimin Li, Nobuyasu Ito, Long-Chuan Guo

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data.

Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Multi-View Capsule Network.

Jianwei Liu, Xi-hao Ding, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

Online Learning Algorithm Based on Adaptive Control Theory.

Jianwei Liu, Jiajia Zhou, Mohamed S. Kamel, Xiong-Lin Luo

IEEE Trans. Neural Networks Learn. Syst., 2018

Rank Pruning Approach for Noisy Multi-label Learning.

Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's t-distribution noises.

Zhu Wang, Xionglin Luo

J. Frankl. Inst., 2017

Group variable selection and parameter estimation via Group Berhu method.

Jian-Wei Liu, Lipeng Cui, Xiong-Lin Luo

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

2016

Minimal Conjunctive Normal Expression of Continuous Piecewise Affine Functions.

Jun Xu, Ton J. J. van den Boom, Bart De Schutter, Xiong-Lin Luo

IEEE Trans. Autom. Control., 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, Lipeng Cui, Xionglin Luo

计算机科学, 2016

Basis-dependent and delay-dependent results on robust <i>L</i>₁ filtering for networked control systems.

Yanhui Li, Qi Zhang, Xiu-Jie Zhou, Xionglin Luo

J. Frankl. Inst., 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

Performance analysis of multi-innovation stochastic Newton recursive algorithms.

Pengfei Cao, Xionglin Luo

Digit. Signal Process., 2016

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, Lipeng Cui, Haien Li, Xionglin Luo

计算机科学, 2015

Rademacher complexity bound for domain adaptation regression.

Jiajia Zhou, Jianwei Liu, Xionglin Luo

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Multiple source domain adaptation: A sharper bound using weighted Rademacher complexity.

Jianwei Liu, Jiajia Zhou, Xionglin Luo

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Multiple source domain adaptation: A bound using p-norm covering numbers.

Jianwei Liu, Jiajia Zhou, Xionglin Luo

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

2013

Iterative Reweighted Noninteger Norm Regularizing SVM for Gene Expression Data Classification.

Jianwei Liu, Shuang Cheng Li, Xionglin Luo

Comput. Math. Methods Medicine, 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

Contrastive divergence learning for the Restricted Boltzmann Machine.

Jian-Wei Liu, Guang-Hui Chi, Xiong-Lin Luo

Proceedings of the Ninth International Conference on Natural Computation, 2013

2012

Density Based Grid Clustering Partition of the Input Space for RBF Neural Network.

Ping Wei, Wenbo Liu, Xin Zuo, Xionglin Luo

Proceedings of the Artificial Intelligence and Computational Intelligence, 2012

2011

Synthesis of multipass heat exchanger networks based on pinch technology.

Lin Sun, Xionglin Luo

Comput. Chem. Eng., 2011

The Expression of Control Law for Zone Constraints Predictive Control.

Xiling Zhang, Xionglin Luo, Shubin Wang

Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2006

Delay Time Identification and Dynamic Characteristics Study on ANN Soft Sensor.

Dianlin Du, Chongguang Wu, Xionglin Luo, Xin Zuo

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006