Search Results for author: Zhenyu Lei

Found 9 papers, 8 papers with code

Complex-Valued Convolutional Gated Recurrent Neural Network for Ultrasound Beamforming

1 code implementation IEEE Transactions on Neural Networks and Learning Systems 2024 Zhiming Zhang, Zhenyu Lei, Mengchu Zhou, Hideyuki Hasegawa, Shangce Gao

The complex-valued network operations proposed in this study improve the beamforming accuracy of complex-valued ultrasound signals over traditional real-valued methods.

Dendritic Learning-incorporated Vision Transformer for Image Recognition

1 code implementation IEEE/CAA Journal of Automatica Sinica 2024 Zhiming Zhang, Zhenyu Lei, Masaaki Omura, Hideyuki Hasegawa, Shangce Gao

DVT is a groundbreaking Biomimetic Vision Transformer that combines dendritic learning and Vision Transformer architecture, showcasing superior image recognition performance through biologically inspired structures.

Image Classification

KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding

1 code implementation8 Oct 2022 Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov

With the advent of pretrained language models (LMs), increasing research efforts have been focusing on infusing commonsense and domain-specific knowledge to prepare LMs for downstream tasks.

document understanding Knowledge Graphs +3

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency

1 code implementation17 Aug 2022 Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo

In addition, given the stealing behavior of novel Twitter bots, BIC proposes to model semantic consistency in tweets based on attention weights while using it to augment the decision process.

Misinformation Twitter Bot Detection

KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media

1 code implementation NAACL 2022 Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo

Previous approaches generally focus on leveraging textual content to identify stances, while they fail to reason with background knowledge or leverage the rich semantic and syntactic textual labels in news articles.

Knowledge Graphs Representation Learning

Multi-Modal Aesthetic Assessment for MObile Gaming Image

no code implementations27 Jan 2021 Zhenyu Lei, Yejing Xie, Suiyi Ling, Andreas Pastor, Junle Wang, Patrick Le Callet

Our inclination is to seek and learn the correlations between different aesthetic relevant dimensions to further boost the generalization performance in predicting all the aesthetic dimensions.

Multi-Task Learning

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