Jianwei Liu

According to our database, Jianwei Liu authored at least 81 papers between 2013 and 2023.

Collaborative distances:

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

2023

An attempt to apply the homotopy method to the domain of machine learning.

Yang-yang Liu, Jian-wei Liu

Expert Syst. Appl., December, 2023

More effective and efficient exploration via more refined gradient information.

Xiu-yan Chen, Jian-Wei Liu

Appl. Intell., November, 2023

Adaptively Sparse Transformers Hawkes Process.

Yue Gao, Jian-Wei Liu

Int. J. Uncertain. Fuzziness Knowl. Based Syst., August, 2023

Hypergraph attentional convolutional neural network for salient object detection.

Zeyu Liu, Jian-wei Liu

Vis. Comput., July, 2023

Class-overlap undersampling based on Schur decomposition for Class-imbalance problems.

Qi Dai, Jianwei Liu, Yong-hui Shi

Expert Syst. Appl., July, 2023

Self-supervised contrastive learning for heterogeneous graph based on multi-pretext tasks.

Shuai Ma, Jian-wei Liu

Neural Comput. Appl., May, 2023

Linear normalization attention neural Hawkes process.

Zhi-yan Song, Jian-wei Liu, Jie Yang, Lu-ning Zhang

Neural Comput. Appl., 2023

β-CapsNet: learning disentangled representation for CapsNet by information bottleneck.

Ming-fei Hu, Jian-wei Liu

Neural Comput. Appl., 2023

Distance-based arranging oversampling technique for imbalanced data.

Qi Dai, Jian-wei Liu, Jia-Liang Zhao

Neural Comput. Appl., 2023

Online continual learning via the knowledge invariant and spread-out properties.

Ya-nan Han, Jian-wei Liu

Expert Syst. Appl., 2023

2022

Temporal attention augmented transformer Hawkes process.

Lu-ning Zhang, Jian-wei Liu, Zhi-yan Song, Xin Zuo

Neural Comput. Appl., 2022

Kernel-based similarity sorting and allocation for few-shot semantic segmentation.

Ze-Yu Liu, Jian-wei Liu

Neural Comput. Appl., 2022

Multi-scale attentional similarity guidance network for few-shot semantic segmentation.

Ze-Yu Liu, Jian-wei Liu

Neural Comput. Appl., 2022

Class-imbalanced positive instances augmentation via three-line hybrid.

Qi Dai, Jian-wei Liu, Jia-Peng Yang

Knowl. Based Syst., 2022

Online Continual Learning via the Meta-learning update with Multi-scale Knowledge Distillation and Data Augmentation.

Ya-nan Han, Jianwei Liu

Eng. Appl. Artif. Intell., 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

Tri-transformer Hawkes process via dot-product attention operations with event type and temporal encoding.

Zhi-yan Song, Jian-wei Liu

Comput. Intell., 2022

Partially latent factors based multi-view subspace learning.

Runkun Lu, Jianwei Liu, Ze-Yu Liu, Jinzhong Chen

Comput. Intell., 2022

Multi-granularity relabeled under-sampling algorithm for imbalanced data.

Qi Dai, Jian-wei Liu, Yang Liu

Appl. Soft Comput., 2022

The Time-Sequence Prediction via Temporal and Contextual Contrastive Representation Learning.

Yang-yang Liu, Jian-Wei Liu

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

An Online Recurring Concept Meta-learning For Evolving Streams.

Si-Si Zhang, Jian-Wei Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Unsupervised Disentangled Capsule via Mutual Information.

Ming-fei Hu, Ze-Yu Liu, Jianwei Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning.

Ya-nan Han, Jianwei Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

Instance-level and Class-level Contrastive Incremental Learning for Image Classification.

Jia-yi Han, Jian-wei Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

Hypergraph Neural Network Hawkes Process.

Zi-Hao Cheng, Jian-Wei Liu, Ze Cao

Proceedings of the International Joint Conference on Neural Networks, 2022

Two-Stage Multilayer Perceptron Hawkes Process.

Xiang Xing, Jian-wei Liu, Zi-Hao Cheng

Proceedings of the Neural Information Processing - 29th International Conference, 2022

The Context Hierarchical Contrastive Learning for Time Series in Frequency Domain.

Ming-hui Wang, Jian-wei Liu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Sequential Three-Way Rules Class-Overlap Under-Sampling Based on Fuzzy Hierarchical Subspace for Imbalanced Data.

Qi Dai, Jian-wei Liu, Jia-Peng Yang

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies.

Ze Cao, Jian-wei Liu, Zi-Hao Cheng

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Continual Learning by Task-Wise Shared Hidden Representation Alignment.

Xu-hui Zhan, Jianwei Liu, Ya-nan Han

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Ensemble of One-Class Classifiers Based on Multi-level Hidden Representations Abstracted from Convolutional Autoencoder for Anomaly Detection.

Xin-Tan Wang, Jianwei Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Continual Learning Based on Knowledge Distillation and Representation Learning.

Xiu-yan Chen, Jianwei Liu, Wen-tao Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Multi-peak Graph-based Multi-instance Learning for Weakly Supervised Object Detection.

Ruyi Ji, Zeyu Liu, Libo Zhang, Jianwei Liu, Xin Zuo, Yanjun Wu, Chen Zhao, Haofeng Wang, Lin Yang

ACM Trans. Multim. Comput. Commun. Appl., 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

Attentive multi-view deep subspace clustering net.

Runkun Lu, Jianwei Liu, Xin Zuo

Neurocomputing, 2021

Universal transformer Hawkes process with adaptive recursive iteration.

Lu-ning Zhang, Jian-wei Liu, Zhi-yan Song, Xin Zuo

Eng. Appl. Artif. Intell., 2021

Multi-scale iterative refinement network for RGB-D salient object detection.

Ze-Yu Liu, Jian-wei Liu, Xin Zuo, Ming-fei Hu

Eng. Appl. Artif. Intell., 2021

Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity.

Lu-ning Zhang, Jianwei Liu, Xin Zuo

CoRR, 2021

Adaptive online incremental learning for evolving data streams.

Si-Si Zhang, Jianwei Liu, Xin Zuo

Appl. Soft Comput., 2021

Online deep learning based on auto-encoder.

Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian

Appl. Intell., 2021

Learning 3D-Craft Generation with Predictive Action Neural Network.

Ze-Yu Liu, Jian-Wei Liu, Xin Zuo, Weimin Li

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Universal Transformer Hawkes process.

Lu-Ning Zhang, Jian-Wei Liu, Zhi-Yan Song, Xin Zuo, Weimin Li, Ze-Yu Liu

Proceedings of the International Joint Conference on Neural Networks, 2021

Heterogeneous Graph Gated Attention Network.

Shuai Ma, Jian-Wei Liu, Xin Zuo, Weimin Li

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices.

Runkun Lu, Jian-wei Liu, Xin Zuo, Weimin Li

Proceedings of the International Joint Conference on Neural Networks, 2021

GSNESR: A Global Social Network Embedding Approach for Social Recommendation.

Bing-biao Xiao, Jian-wei Liu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Tri-Transformer Hawkes Process: Three Heads are Better Than One.

Zhi-yan Song, Jianwei Liu, Lu-ning Zhang, Ya-nan Han

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Abstracting Inter-instance Relations and Inter-label Correlation Simultaneously for Sparse Multi-label.

Siming Lian, Jianwei Liu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Learning Optimal Primary Capsules by Information Bottleneck.

Ming-fei Hu, Jian-wei Liu, Weimin Li

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

Multi-view representation learning in multi-task scene.

Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo

Neural Comput. Appl., 2020

Survival analysis of failures based on Hawkes process with Weibull base intensity.

Lu-Ning Zhang, Jian-Wei Liu, Xin Zuo

Eng. Appl. Artif. Intell., 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

Deep Reinforcement Learning with Temporal-Awareness Network.

Ze-Yu Liu, Jian-Wei Liu, Weimin Li, Xin Zuo

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

Captured multi-label relations via joint deep supervised autoencoder.

Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo

Appl. Soft Comput., 2019

Auto-encoder Based Co-training Multi-view Representation Learning.

Runkun Lu, Jianwei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Comments on "Finite-Time Analysis of the Multiarmed Bandit Problem".

Lu-Ning Zhang, Xin Zuo, Jianwei Liu, Weimin Li, Nobuyasu Ito

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

Improved backstepping control for stochastic high-order nonlinear time delay system with a constructive mechanical system.

Long-Chuan Guo, Jian-Wei Liu

Trans. Inst. Meas. Control, 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

Affine Transformation Capsule Net.

Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

MRAC-MU Online Learning.

Si-Si Zhang, Jianwei Liu, Xin Zuo, Xin Wan, Mohamed S. Kamel

Proceedings of the 15th International Conference on Control, 2018

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

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

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

2014

Non-integer norm regularization SVM via Legendre-Fenchel duality.

Jian-Wei Liu, Yuan Liu

Neurocomputing, 2014

Design and stability analysis of networked control system with random delay and data dropout using a novel proactive strategy.

Yingyao Duan, Xin Zuo, Jianwei Liu

Proceedings of the 11th IEEE International Conference on Control & Automation, 2014

2013

Output-Feedback and Inverse Optimal Control of a Class of Stochastic Nonlinear Systems with More General Growth Conditions.

Jianwei Liu, Longchuan Guo, Xin Zuo, Huaqing Liang

J. Appl. Math., 2013

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

Jianwei Liu, Shuang Cheng Li, Xionglin Luo

Comput. Math. Methods Medicine, 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