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20212023
most citedOnline Continual Learning via the Knowledge Invariant and Spread-out Properties

14 citations · 20 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO20231 cited

ViT-A*: Legged Robot Path Planning using Vision Transformer A*

Jianwei Liu, Shirui Lyu, Denis Hadjivelichkov +2

Legged robots, particularly quadrupeds, offer promising navigation capabilities, especially in scenarios requiring traversal over diverse terrains and obstacle avoidance. This pape…

cs.CV202314 cited

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…

math.NT2022

New classes of permutation polynomials with coefficients 1 over finite fields

Hutao Song, Hua Guo, Xiyong Zhang +2

Permutation polynomials with coefficients 1 over finite fields attract researchers' interests due to their simple algebraic form. In this paper, we first construct four classes of…

cs.CL20223 cited

MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations

Hao Yang, Yanyan Zhao, Jianwei Liu +2

Multimodal fine-grained sentiment analysis has recently attracted increasing attention due to its broad applications. However, the existing multimodal fine-grained sentiment datase…

cs.LG2022

Multi-view Subspace Adaptive Learning via Autoencoder and Attention

Jian-wei Liu, Hao-jie Xie, Run-kun Lu +1

Multi-view learning can cover all features of data samples more comprehensively, so multi-view learning has attracted widespread attention. Traditional subspace clustering methods,…

cs.LG20211 cited

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…