Jianwei Liu

53 papers A* 1B 4C 1Misc 2Journal 27Unranked 18
YearRankTypeTitle / Venue / Authors
2023 J jnl
Class-overlap undersampling based on Schur decomposition for Class-imbalance problems.
Expert Syst. Appl.
Qi Dai, Jianwei Liu, Yong-hui Shi
2022 J jnl
Auto-Encoder based Co-Training Multi-View Representation Learning.
CoRR
Runkun Lu, Jianwei Liu, Yuan-Fang Wang, Hao-jie Xie, Xin Zuo
2022 J jnl
Bilevel Online Deep Learning in Non-stationary Environment.
CoRR
Ya-nan Han, Jianwei Liu, Bing-biao Xiao, Xin-Tan Wang, Xionglin Luo
2022 — conf
Continual Learning Based on Knowledge Distillation and Representation Learning.
ICANN (4)
Xiu-yan Chen, Jianwei Liu, Wen-Tao Li
2022 — conf
Continual Learning by Task-Wise Shared Hidden Representation Alignment.
ICANN (2)
Xu-hui Zhan, Jianwei Liu, Ya-nan Han
2022 — conf
Ensemble of One-Class Classifiers Based on Multi-level Hidden Representations Abstracted from Convolutional Autoencoder for Anomaly Detection.
ICANN (3)
Xin-Tan Wang, Jianwei Liu
2022 J jnl
GMM Discriminant Analysis with Noisy Label for Each Class.
CoRR
Jianwei Liu, Zheng-ping Ren, Runkun Lu, Xionglin Luo
2022 B conf
Learning Unsupervised Disentangled Capsule via Mutual Information.
IJCNN
Ming-fei Hu, Ze-Yu Liu, Jianwei Liu
2022 J jnl
Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection.
CoRR
Ze-Yu Liu, Jianwei Liu, Xin Zuo, Ming-fei Hu
2022 J jnl
Multi-View representation learning in Multi-Task Scene.
CoRR
Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo
2022 J jnl
Online Continual Learning via the Meta-learning update with Multi-scale Knowledge Distillation and Data Augmentation.
Eng. Appl. Artif. Intell.
Ya-nan Han, Jianwei Liu
2022 J jnl
Online Deep Learning based on Auto-Encoder.
CoRR
Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian
2022 J jnl
Partially latent factors based multi-view subspace learning.
Comput. Intell.
Runkun Lu, Jianwei Liu, Ze-Yu Liu, Jinzhong Chen
2022 B conf
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning.
IJCNN
Ya-nan Han, Jianwei Liu
2022 J jnl
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning.
CoRR
Ya-nan Han, Jianwei Liu
2022 J jnl
β-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck.
CoRR
Ming-fei Hu, Jianwei Liu
2021 — conf
Abstracting Inter-instance Relations and Inter-label Correlation Simultaneously for Sparse Multi-label.
ICONIP (5)
Siming Lian, Jianwei Liu
2021 J jnl
Adaptive online incremental learning for evolving data streams.
Appl. Soft Comput.
Si-Si Zhang, Jianwei Liu, Xin Zuo
2021 J jnl
Attentive multi-view deep subspace clustering net.
Neurocomputing
Runkun Lu, Jianwei Liu, Xin Zuo
2021 J jnl
GMM discriminant analysis with noisy label for each class.
Neural Comput. Appl.
Jianwei Liu, Zheng-ping Ren, Runkun Lu, Xiong-Lin Luo
2021 J jnl
Multi-peak Graph-based Multi-instance Learning for Weakly Supervised Object Detection.
ACM Trans. Multim. Comput. Commun. Appl.
Ruyi Ji, Zeyu Liu, Libo Zhang, Jianwei Liu, Xin Zuo, Yanjun Wu, Chen Zhao, Haofeng Wang, Lin Yang
2021 J jnl
Online deep learning based on auto-encoder.
Appl. Intell.
Si-Si Zhang, Jianwei Liu, Xin Zuo, Runkun Lu, Siming Lian
2021 J jnl
Partially disentangled latent relations for multi-label deep learning.
Neural Comput. Appl.
Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo
2021 J jnl
Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity.
CoRR
Lu-ning Zhang, Jianwei Liu, Xin Zuo
2021 — conf
Tri-Transformer Hawkes Process: Three Heads are Better Than One.
ICONIP (1)
Zhi-yan Song, Jianwei Liu, Lu-ning Zhang, Ya-nan Han
2021 J jnl
Tri-Transformer Hawkes Process: Three Heads are better than one.
CoRR
Zhi-yan Song, Jianwei Liu, Lu-ning Zhang, Ya-nan Han
2021 J jnl
Universal Transformer Hawkes Process with Adaptive Recursive Iteration.
CoRR
Lu-ning Zhang, Jianwei Liu, Zhi-yan Song, Xin Zuo
2020 A* conf
An Improved Latent Low Rank Representation for Automatic Subspace Clustering.
IJCAI
Ya-nan Han, Jianwei Liu, Xiong-Lin Luo
2020 — conf
Learning Disentangled Representations with Attentive Joint Variational Autoencoder.
ICONIP (5)
Wen-Tao Li, Jianwei Liu, Xiu-yan Chen, Xiong-Lin Luo
2020 — conf
Multi-view Subspace Adaptive Learning via Autoencoder and Attention.
ICONIP (2)
Jianwei Liu, Hao-jie Xie, Runkun Lu, Xiong-Lin Luo
2020 J jnl
Multi-view representation learning in multi-task scene.
Neural Comput. Appl.
Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo
2020 — conf
Partially Disentangled Latent Relations for Multi-label Deep Learning.
ICONIP (2)
Siming Lian, Jianwei Liu, Xiong-Lin Luo
2019 — conf
Auto-encoder Based Co-training Multi-view Representation Learning.
PAKDD (3)
Runkun Lu, Jianwei Liu, Yuan-Fang Wang, Hao-jie Xie, Xin Zuo
2019 J jnl
Captured multi-label relations via joint deep supervised autoencoder.
Appl. Soft Comput.
Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo
2019 Misc conf
Comments on "Finite-Time Analysis of the Multiarmed Bandit Problem".
ICMLC
Lu-ning Zhang, Xin Zuo, Jianwei Liu, Weimin Li, Nobuyasu Ito
2019 — conf
DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data.
ICANN (1)
Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang
2019 B conf
FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data.
IJCNN
Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang
2019 — conf
Multi-View Capsule Network.
ICANN (1)
Jianwei Liu, Xi-hao Ding, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo
2019 Misc conf
Phase Retrieval via Wirtinger Flow Algorithm and Its Variants.
ICMLC
Jianwei Liu, Zhi-Juan Cao, Jing Liu, Xiong-Lin Luo, Weimin Li, Nobuyasu Ito, Long-Chuan Guo
2018 — conf
Affine Transformation Capsule Net.
PAKDD (Workshops)
Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo
2018 C conf
MRAC-MU Online Learning.
ICARCV
Si-Si Zhang, Jianwei Liu, Xin Zuo, Xin Wan, Mohamed S. Kamel
2018 J jnl
Online Learning Algorithm Based on Adaptive Control Theory.
IEEE Trans. Neural Networks Learn. Syst.
Jianwei Liu, Jiajia Zhou, Mohamed S. Kamel, Xiong-Lin Luo
2018 B conf
Rank Pruning Approach for Noisy Multi-label Learning.
SMC
Siming Lian, Jianwei Liu, Runkun Lu, Xionglin Luo
2018 — conf
The Influence Maximization Problem in the Network Under Node Personalized Characteristics.
DASC/PiCom/DataCom/CyberSciTech
Weimin Li, Jun Mo, Yue Liu, Nobuyasu Ito, Yohsuke Murase, Jianwei Liu
2015 — conf
Multiple source domain adaptation: A bound using p-norm covering numbers.
TAAI
Jianwei Liu, Jiajia Zhou, Xionglin Luo
2015 — conf
Multiple source domain adaptation: A sharper bound using weighted Rademacher complexity.
TAAI
Jianwei Liu, Jiajia Zhou, Xionglin Luo
2015 — conf
Rademacher complexity bound for domain adaptation regression.
TAAI
Jiajia Zhou, Jianwei Liu, Xionglin Luo
2015 J jnl
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
Jianwei Liu, Lipeng Cui, Haien Li, Xionglin Luo
2014 — conf
Design and stability analysis of networked control system with random delay and data dropout using a novel proactive strategy.
ICCA
Yingyao Duan, Xin Zuo, Jianwei Liu
2013 J jnl
Iterative Reweighted Noninteger Norm Regularizing SVM for Gene Expression Data Classification.
Comput. Math. Methods Medicine
Jianwei Liu, Shuang Cheng Li, Xionglin Luo
2013 J jnl
Output-Feedback and Inverse Optimal Control of a Class of Stochastic Nonlinear Systems with More General Growth Conditions.
J. Appl. Math.
Jianwei Liu, Longchuan Guo, Xin Zuo, Huaqing Liang
2008 J jnl
Applications of AR*-GRNN model for financial time series forecasting.
Neural Comput. Appl.
Weimin Li, Yishu Luo, Qin Zhu, Jianwei Liu, Jiajin Le
2005 — conf
Using GARCH-GRNN Model to Forecast Financial Time Series.
ISCIS
Weimin Li, Jianwei Liu, Jiajin Le