20 citations · 35 across the 10 of their papers we have counts for
10 papers
A Survey of Recursive and Recurrent Neural Networks
Jian-wei Liu, Bing-rong Xu, Zhi-yan Song
In this paper, the branches of recursive and recurrent neural networks are classified in detail according to the network structure, training objective function and learning algorit…
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han, Jian-wei Liu
The goal of continual learning is to provide intelligent agents that are capable of learning continually a sequence of tasks using the knowledge obtained from previous tasks while…
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation
Ya-nan Han, Jian-wei Liu
Continual learning aims to rapidly and continually learn the current task from a sequence of tasks. Compared to other kinds of methods, the methods based on experience replay have…
-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck
Ming-fei Hu, Jian-wei Liu
We present a framework for learning disentangled representation of CapsNet by information bottleneck constraint that distills information into a compact form and motivates to learn…
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
Ya-nan Han, Jian-wei Liu
Continual learning aims to learn a sequence of tasks by leveraging the knowledge acquired in the past in an online-learning manner while being able to perform well on all previous…
Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection
Ze-yu Liu, Jian-wei Liu, Xin Zuo +1
The extensive research leveraging RGB-D information has been exploited in salient object detection. However, salient visual cues appear in various scales and resolutions of RGB ima…
Partially latent factors based multi-view subspace learning
Run-kun Lu, Jian-wei Liu, Ze-yu Liu +1
Multi-view subspace clustering always performs well in high-dimensional data analysis, but is sensitive to the quality of data representation. To this end, a two stage fusion strat…
Temporal Attention Augmented Transformer Hawkes Process
Lu-ning Zhang, Jian-wei Liu, Zhi-yan Song +1
In recent years, mining the knowledge from asynchronous sequences by Hawkes process is a subject worthy of continued attention, and Hawkes processes based on the neural network hav…
Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity
Lu-ning Zhang, Jian-wei Liu, Xin Zuo
In this paper, we use the Hawkes process to model the sequence of failure, i.e., events of compressor station and conduct survival analysis on various failure events of the compres…
Tri-Transformer Hawkes Process: Three Heads are better than one
Zhi-yan Song, Jian-wei Liu, Lu-ning Zhang +1
Abstract. Most of the real world data we encounter are asynchronous event sequence, so the last decades have been characterized by the implementation of various point process into…