Search Results for author: Yang Du

Found 7 papers, 2 papers with code

You Can Trade Your Experience in Distributed Multi-Agent Multi-Armed Bandits

no code implementations 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS) 2023 Guoju Gao, He Huang, Jie Wu, Sijie Huang, Yang Du

In this paper, we propose a transaction-based multi-agent MAB framework, where agents can trade their bandit experience with each other to improve their total individual rewards.

Decision Making Multi-Armed Bandits

AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition

no code implementations23 Dec 2022 Yongling Xu, Yang Du, Jing Zou, Tianying Zhou, Lushan Xiao, Li Liu, Pengcheng

In this paper, we propose a deep model called Attention-based Multiple Dimensions EEG Transformer (AMDET), which can exploit the complementarity among the spectral-spatial-temporal features of EEG data by employing the multi-dimensional global attention mechanism.

Brain Computer Interface EEG +2

Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization

no code implementations ICML Workshop AML 2021 Jie Wang, Zhaoxia Yin, Jing Jiang, Yang Du

In this paper, we propose an attention-guided black-box adversarial attack based on the large-scale multiobjective evolutionary optimization, termed as LMOA.

Adversarial Attack

Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification

no code implementations ECCV 2018 Yang Du, Chunfeng Yuan, Bing Li, Lili Zhao, Yangxi Li, Weiming Hu

Furthermore, since different layers in a deep network capture feature maps of different scales, we use these feature maps to construct a spatial pyramid and then utilize multi-scale information to obtain more accurate attention scores, which are used to weight the local features in all spatial positions of feature maps to calculate attention maps.

Action Classification Classification +1

Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos

no code implementations CVPR 2017 Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Stephen Maybank

In dynamic object detection, it is challenging to construct an effective model to sufficiently characterize the spatial-temporal properties of the background.

object-detection Object Detection

Joint RNN Model for Argument Component Boundary Detection

1 code implementation5 May 2017 Minglan Li, Yang Gao, Hui Wen, Yang Du, Haijing Liu, Hao Wang

Argument Component Boundary Detection (ACBD) is an important sub-task in argumentation mining; it aims at identifying the word sequences that constitute argument components, and is usually considered as the first sub-task in the argumentation mining pipeline.

Boundary Detection Feature Engineering +1

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