Jian-wei Liu

48 papers B 6Misc 2Journal 30Unranked 10
YearRankTypeTitle / Venue / Authors
2024 J jnl
mcVAE: disentangling by mean constraint.
Vis. Comput.
Ming-fei Hu, Ze-Yu Liu, Jian-wei Liu
2023 J jnl
Adaptively Sparse Transformers Hawkes Process.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Yue Gao, Jian-wei Liu
2023 J jnl
An attempt to apply the homotopy method to the domain of machine learning.
Expert Syst. Appl.
Yang-Yang Liu, Jian-wei Liu
2023 J jnl
Distance-based arranging oversampling technique for imbalanced data.
Neural Comput. Appl.
Qi Dai, Jian-wei Liu, Jia-Liang Zhao
2023 J jnl
Hypergraph attentional convolutional neural network for salient object detection.
Vis. Comput.
Zeyu Liu, Jian-wei Liu
2023 J jnl
Linear normalization attention neural Hawkes process.
Neural Comput. Appl.
Zhi-yan Song, Jian-wei Liu, Jie Yang, Lu-ning Zhang
2023 J jnl
More effective and efficient exploration via more refined gradient information.
Appl. Intell.
Xiu-yan Chen, Jian-wei Liu
2023 J jnl
Online Continual Learning via the Knowledge Invariant and Spread-out Properties.
CoRR
Ya-nan Han, Jian-wei Liu
2023 J jnl
Online continual learning via the knowledge invariant and spread-out properties.
Expert Syst. Appl.
Ya-nan Han, Jian-wei Liu
2023 J jnl
Part-aware attention correctness for video salient object detection.
Eng. Appl. Artif. Intell.
Ze-Yu Liu, Jian-wei Liu
2023 J jnl
Self-supervised contrastive learning for heterogeneous graph based on multi-pretext tasks.
Neural Comput. Appl.
Shuai Ma, Jian-wei Liu
2023 J jnl
β-CapsNet: learning disentangled representation for CapsNet by information bottleneck.
Neural Comput. Appl.
Ming-fei Hu, Jian-wei Liu
2022 J jnl
Adaptive Online Incremental Learning for Evolving Data Streams.
CoRR
Si-Si Zhang, Jian-wei Liu, Xin Zuo
2022 B conf
An Online Recurring Concept Meta-learning For Evolving Streams.
IJCNN
Si-Si Zhang, Jian-wei Liu
2022 J jnl
Class-imbalanced positive instances augmentation via three-line hybrid.
Knowl. Based Syst.
Qi Dai, Jian-wei Liu, Jia-peng Yang
2022 — conf
Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies.
ICONIP (4)
Ze Cao, Jian-wei Liu, Zi-Hao Cheng
2022 B conf
Hypergraph Neural Network Hawkes Process.
IJCNN
Zi-Hao Cheng, Jian-wei Liu, Ze Cao
2022 B conf
Instance-level and Class-level Contrastive Incremental Learning for Image Classification.
IJCNN
Jia-yi Han, Jian-wei Liu
2022 J jnl
Kernel-based similarity sorting and allocation for few-shot semantic segmentation.
Neural Comput. Appl.
Ze-Yu Liu, Jian-wei Liu
2022 J jnl
Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss.
CoRR
Jian-wei Liu, Yuan-Fang Wang, Runkun Lu, Xionglin Luo
2022 J jnl
Multi-granularity relabeled under-sampling algorithm for imbalanced data.
Appl. Soft Comput.
Qi Dai, Jian-wei Liu, Yang Liu
2022 J jnl
Multi-scale attentional similarity guidance network for few-shot semantic segmentation.
Neural Comput. Appl.
Ze-Yu Liu, Jian-wei Liu
2022 J jnl
Multi-view Subspace Adaptive Learning via Autoencoder and Attention.
CoRR
Jian-wei Liu, Hao-jie Xie, Runkun Lu, Xionglin Luo
2022 J jnl
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity.
CoRR
Jian-wei Liu, Xi-hao Ding, Runkun Lu, Xionglin Luo
2022 — conf
Sequential Three-Way Rules Class-Overlap Under-Sampling Based on Fuzzy Hierarchical Subspace for Imbalanced Data.
ICONIP (4)
Qi Dai, Jian-wei Liu, Jia-peng Yang
2022 J jnl
Temporal attention augmented transformer Hawkes process.
Neural Comput. Appl.
Lu-ning Zhang, Jian-wei Liu, Zhi-yan Song, Xin Zuo
2022 — conf
The Context Hierarchical Contrastive Learning for Time Series in Frequency Domain.
ICONIP (4)
Ming-Hui Wang, Jian-wei Liu
2022 — conf
The Time-Sequence Prediction via Temporal and Contextual Contrastive Representation Learning.
PRICAI (1)
Yang-Yang Liu, Jian-wei Liu
2022 J jnl
Tri-transformer Hawkes process via dot-product attention operations with event type and temporal encoding.
Comput. Intell.
Zhi-yan Song, Jian-wei Liu
2022 — conf
Two-Stage Multilayer Perceptron Hawkes Process.
ICONIP (4)
Xiang Xing, Jian-wei Liu, Zi-Hao Cheng
2021 J jnl
Attentive Multi-View Deep Subspace Clustering Net.
CoRR
Runkun Lu, Jian-wei Liu, Xin Zuo
2021 — conf
Bilevel Online Deep Learning in Non-stationary Environment.
ICANN (2)
Ya-nan Han, Jian-wei Liu, Bing-biao Xiao, Xin-Tan Wang, Xionglin Luo
2021 — conf
GSNESR: A Global Social Network Embedding Approach for Social Recommendation.
ICONIP (1)
Bing-biao Xiao, Jian-wei Liu
2021 B conf
Heterogeneous Graph Gated Attention Network.
IJCNN
Shuai Ma, Jian-wei Liu, Xin Zuo, Weimin Li
2021 — conf
Learning 3D-Craft Generation with Predictive Action Neural Network.
MMM (1)
Ze-Yu Liu, Jian-wei Liu, Xin Zuo, Weimin Li
2021 — conf
Learning Optimal Primary Capsules by Information Bottleneck.
ICANN (1)
Ming-fei Hu, Jian-wei Liu, Weimin Li
2021 J jnl
Multi-scale iterative refinement network for RGB-D salient object detection.
Eng. Appl. Artif. Intell.
Ze-Yu Liu, Jian-wei Liu, Xin Zuo, Ming-fei Hu
2021 B conf
Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices.
IJCNN
Runkun Lu, Jian-wei Liu, Xin Zuo, Weimin Li
2021 J jnl
Temporal Attention Augmented Transformer Hawkes Process.
CoRR
Lu-ning Zhang, Jian-wei Liu, Zhi-yan Song, Xin Zuo
2021 B conf
Universal Transformer Hawkes process.
IJCNN
Lu-ning Zhang, Jian-wei Liu, Zhi-yan Song, Xin Zuo, Weimin Li, Ze-Yu Liu
2021 J jnl
Universal transformer Hawkes process with adaptive recursive iteration.
Eng. Appl. Artif. Intell.
Lu-ning Zhang, Jian-wei Liu, Zhi-yan Song, Xin Zuo
2020 — conf
Deep Reinforcement Learning with Temporal-Awareness Network.
ICONIP (2)
Ze-Yu Liu, Jian-wei Liu, Weimin Li, Xin Zuo
2020 J jnl
Survival analysis of failures based on Hawkes process with Weibull base intensity.
Eng. Appl. Artif. Intell.
Lu-ning Zhang, Jian-wei Liu, Xin Zuo
2018 J jnl
Improved backstepping control for stochastic high-order nonlinear time delay system with a constructive mechanical system.
Trans. Inst. Meas. Control
Long-Chuan Guo, Jian-wei Liu
2017 Misc conf
Group variable selection and parameter estimation via Group Berhu method.
ICMLC
Jian-wei Liu, Lipeng Cui, Xiong-Lin Luo
2016 J jnl
结构稀疏模型及其算法研究进展 (Research and Development on Structured Sparse Models and Algorithms).
计算机科学
Jian-wei Liu, Lipeng Cui, Xionglin Luo
2014 J jnl
Non-integer norm regularization SVM via Legendre-Fenchel duality.
Neurocomputing
Jian-wei Liu, Yuan Liu
2013 Misc conf
Contrastive divergence learning for the Restricted Boltzmann Machine.
ICNC
Jian-wei Liu, Guang-Hui Chi, Xiong-Lin Luo