Jian-wei Liu | DeepAI

AI Chat

Featured Co-authors

Shuai Ma
40 publications
Yuan-Fang Wang
14 publications
Xin Zuo
12 publications
Run-kun Lu
8 publications
Ya-nan Han
5 publications
Lu-ning Zhang
4 publications
Zhi-yan Song
3 publications
Xiong-lin Luo
3 publications
Si-ming Lian
2 publications
Si-si Zhang
2 publications
Ming-fei Hu
2 publications

∙ 02/02/2023

Online Continual Learning via the Knowledge Invariant and Spread-out Properties

The goal of continual learning is to provide intelligent agents that are...

0 Ya-nan Han, et al. ∙

∙ 09/12/2022

β-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck

We present a framework for learning disentangled representation of CapsN...

14 Ming-fei Hu, et al. ∙

∙ 09/12/2022

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

Continual learning aims to rapidly and continually learn the current tas...

5 Ya-nan Han, et al. ∙

∙ 09/09/2022

Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath

graph neural networks (GNNs) are the dominant paradigm for modeling and ...

0 Shuai Ma, et al. ∙

∙ 09/09/2022

Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning

Continual learning aims to learn a sequence of tasks by leveraging the k...

0 Ya-nan Han, et al. ∙

∙ 03/28/2022

Optimistic Online Convex Optimization in Dynamic Environments

In this paper, we study the optimistic online convex optimization proble...

0 Qing-xin Meng, et al. ∙

∙ 01/25/2022

GMM Discriminant Analysis with Noisy Label for Each Class

Real world datasets often contain noisy labels, and learning from such d...

0 Jian-wei Liu, et al. ∙

∙ 01/25/2022

Bilevel Online Deep Learning in Non-stationary Environment

Recent years have witnessed enormous progress of online learning. Howeve...

0 Ya-nan Han, et al. ∙

∙ 01/24/2022

Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection

The extensive research leveraging RGB-D information has been exploited i...

0 Ze-yu Liu, et al. ∙

∙ 01/19/2022

Online Deep Learning based on Auto-Encoder

Online learning is an important technical means for sketching massive re...

0 Si-si Zhang, et al. ∙

∙ 01/15/2022

Multi-View representation learning in Multi-Task Scene

Over recent decades have witnessed considerable progress in whether mult...

0 Run-kun Lu, et al. ∙

∙ 01/09/2022

Auto-Encoder based Co-Training Multi-View Representation Learning

Multi-view learning is a learning problem that utilizes the various repr...

0 Run-kun Lu, et al. ∙

∙ 01/08/2022

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

Multi-view learning accomplishes the task objectives of classification b...

0 Jian-wei Liu, et al. ∙

∙ 01/05/2022

Adaptive Online Incremental Learning for Evolving Data Streams

Recent years have witnessed growing interests in online incremental lear...

0 Si-si Zhang, et al. ∙

∙ 01/01/2022

Multi-view Subspace Adaptive Learning via Autoencoder and Attention

Multi-view learning can cover all features of data samples more comprehe...

7 Jian-wei Liu, et al. ∙

∙ 01/01/2022

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

Multi-view learning attempts to generate a model with a better performan...

0 Jian-wei Liu, et al. ∙

∙ 12/29/2021

Universal Transformer Hawkes Process with Adaptive Recursive Iteration

Asynchronous events sequences are widely distributed in the natural worl...

0 Lu-ning Zhang, et al. ∙

∙ 12/29/2021

Temporal Attention Augmented Transformer Hawkes Process

In recent years, mining the knowledge from asynchronous sequences by Haw...

0 Lu-ning Zhang, et al. ∙

∙ 12/27/2021

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

In this paper, we use the Hawkes process to model the sequence of failur...

0 Lu-ning Zhang, et al. ∙

∙ 12/24/2021

Tri-Transformer Hawkes Process: Three Heads are better than one

Abstract. Most of the real world data we encounter are asynchronous even...

0 Zhi-yan Song, et al. ∙

∙ 12/23/2021

Attentive Multi-View Deep Subspace Clustering Net

In this paper, we propose a novel Attentive Multi-View Deep Subspace Net...

7 Run-kun Lu, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world