Jianwei Liu

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 33

Top Topics

Rademacher Complexity

Domain Adaptation

Affine Transform

Top Venues

Neural Comput. Appl.

Publications

Qi Dai, Jianwei Liu, Yong-hui Shi
Class-overlap undersampling based on Schur decomposition for Class-imbalance problems. Expert Syst. Appl. 221 (2023)
Xiu-yan Chen, Jianwei Liu, Wen-tao Li
Continual Learning Based on Knowledge Distillation and Representation Learning. ICANN (4) (2022)
Ya-nan Han, Jianwei Liu
Online Continual Learning via the Meta-learning update with Multi-scale Knowledge Distillation and Data Augmentation. Eng. Appl. Artif. Intell. 113 (2022)
Ya-nan Han, Jianwei Liu
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning. CoRR (2022)
Xin-Tan Wang, Jianwei Liu
Ensemble of One-Class Classifiers Based on Multi-level Hidden Representations Abstracted from Convolutional Autoencoder for Anomaly Detection. ICANN (3) (2022)
Ze-yu Liu, Jianwei Liu, Xin Zuo, Ming-fei Hu
Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection. CoRR (2022)
Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian
Online Deep Learning based on Auto-Encoder. CoRR (2022)
Ya-nan Han, Jianwei Liu, Bing-biao Xiao, Xin-Tan Wang, Xionglin Luo
Bilevel Online Deep Learning in Non-stationary Environment. CoRR (2022)
Xu-hui Zhan, Jianwei Liu, Ya-nan Han
Continual Learning by Task-Wise Shared Hidden Representation Alignment. ICANN (2) (2022)
Ming-fei Hu, Ze-Yu Liu, Jianwei Liu
Learning Unsupervised Disentangled Capsule via Mutual Information. IJCNN (2022)
Ming-fei Hu, Jianwei Liu
β-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck. CoRR (2022)
Zhi-yan Song, Jianwei Liu, Lu-ning Zhang, Ya-nan Han
Tri-Transformer Hawkes Process: Three Heads are Better Than One. ICONIP (1) (2021)
Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian
Online deep learning based on auto-encoder. Appl. Intell. 51 (8) (2021)
Runkun Lu, Jianwei Liu, Xin Zuo
Attentive multi-view deep subspace clustering net. Neurocomputing 435 (2021)
Siming Lian, Jianwei Liu
Abstracting Inter-instance Relations and Inter-label Correlation Simultaneously for Sparse Multi-label. ICONIP (5) (2021)
Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo
Partially disentangled latent relations for multi-label deep learning. Neural Comput. Appl. 33 (11) (2021)
Si-Si Zhang, Jianwei Liu, Xin Zuo
Adaptive online incremental learning for evolving data streams. Appl. Soft Comput. 105 (2021)
Jianwei Liu, Zheng-ping Ren, Runkun Lu, Xiong-Lin Luo
GMM discriminant analysis with noisy label for each class. Neural Comput. Appl. 33 (4) (2021)
Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo
Multi-view representation learning in multi-task scene. Neural Comput. Appl. 32 (14) (2020)
Jianwei Liu, Hao-jie Xie, Runkun Lu, Xiong-Lin Luo
Multi-view Subspace Adaptive Learning via Autoencoder and Attention. ICONIP (2) (2020)
Wen-tao Li, Jianwei Liu, Xiu-yan Chen, Xiong-Lin Luo
Learning Disentangled Representations with Attentive Joint Variational Autoencoder. ICONIP (5) (2020)
Ya-nan Han, Jianwei Liu, Xiong-Lin Luo
An Improved Latent Low Rank Representation for Automatic Subspace Clustering. IJCAI (2020)
Siming Lian, Jianwei Liu, Xiong-Lin Luo
Partially Disentangled Latent Relations for Multi-label Deep Learning. ICONIP (2) (2020)
Jianwei Liu, Zhi-Juan Cao, Jing Liu, Xiong-Lin Luo, Weimin Li, Nobuyasu Ito, Long-Chuan Guo
Phase Retrieval via Wirtinger Flow Algorithm and Its Variants. ICMLC (2019)
Jianwei Liu, Xi-hao Ding, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo
Multi-View Capsule Network. ICANN (1) (2019)
Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo
Captured multi-label relations via joint deep supervised autoencoder. Appl. Soft Comput. 74 (2019)
Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang
DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data. ICANN (1) (2019)
Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang
FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data. IJCNN (2019)
Runkun Lu, Jianwei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo
Auto-encoder Based Co-training Multi-view Representation Learning. PAKDD (3) (2019)
Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo
Rank Pruning Approach for Noisy Multi-label Learning. SMC (2018)
Jianwei Liu, Jiajia Zhou, Mohamed S. Kamel, Xiong-Lin Luo
Online Learning Algorithm Based on Adaptive Control Theory. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Si-Si Zhang, Jianwei Liu, Xin Zuo, Xin Wan, Mohamed S. Kamel
MRAC-MU Online Learning. ICARCV (2018)
Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo
Affine Transformation Capsule Net. PAKDD (Workshops) (2018)
Jiajia Zhou, Jianwei Liu, Xionglin Luo
Rademacher complexity bound for domain adaptation regression. TAAI (2015)
Jianwei Liu, Jiajia Zhou, Xionglin Luo
Multiple source domain adaptation: A bound using p-norm covering numbers. TAAI (2015)
Jianwei Liu, Jiajia Zhou, Xionglin Luo
Multiple source domain adaptation: A sharper bound using weighted Rademacher complexity. TAAI (2015)
Jianwei Liu, Lipeng Cui, Haien Li, Xionglin Luo
概率图模型推理方法的研究进展 (Research and Development on Inference Technique in Probabilistic Graphical Models). 计算机科学 42 (4) (2015)
Yingyao Duan, Xin Zuo, Jianwei Liu
Design and stability analysis of networked control system with random delay and data dropout using a novel proactive strategy. ICCA (2014)
Jianwei Liu, Shuang Cheng Li, Xionglin Luo
Iterative Reweighted Noninteger Norm Regularizing SVM for Gene Expression Data Classification. Comput. Math. Methods Medicine 2013 (2013)
Jianwei Liu, Longchuan Guo, Xin Zuo, Huaqing Liang
Output-Feedback and Inverse Optimal Control of a Class of Stochastic Nonlinear Systems with More General Growth Conditions. J. Appl. Math. 2013 (2013)