Search Results for author: Dan Wu

Found 8 papers, 0 papers with code

DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control

no code implementations12 Sep 2021 Libing Wu, Min Wang, Dan Wu, Jia Wu

Then, to efficiently utilize the historical state information of the intersection, we design a sequence model with the temporal convolutional network (TCN) to capture the historical information and further merge it with the spatial information to improve its performance.

Graph Attention

Progressive extension of reinforcement learning action dimension for asymmetric assembly tasks

no code implementations6 Apr 2021 Yuhang Gai, Jiuming Guo, Dan Wu, Ken Chen

Reinforcement learning (RL) is always the preferred embodiment to construct the control strategy of complex tasks, like asymmetric assembly tasks.

Performance Comparison between Reconfigurable Intelligent Surface and Relays: Theoretical Methods and a Perspective from Operator

no code implementations28 Jan 2021 Qi Gu, Dan Wu, Xin Su, Jing Jin, Yifei Yuan, Jiangzhou Wang

On the other hand, a relay node in a traditional relay network has to be active, which indicates that it will consume energy when it is relaying the signal or information between the source and destination nodes.

Information Theory Information Theory

Compressive Circular Polarization Snapshot Spectral Imaging

no code implementations29 Nov 2020 Jianglan Ning, Zhilong Xu, Dan Wu, Rui Zhang, Yuanyuan Wang, Yingge Xie, Wei Zhao, Xu Ma, Wenyi Ren

A compressive sensing based circular polarization snapshot spectral imaging system is proposed in this paper to acquire two-dimensional spatial, one-dimensional circular polarization (the right and left circular polarization), and one-dimensional spectral information, simultaneously.

Compressive Sensing Optics Image and Video Processing 78A10 (Primary) I.4.2; I.4.4; I.4.5

Discriminatively Constrained Semi-supervised Multi-view Nonnegative Matrix Factorization with Graph Regularization

no code implementations26 Oct 2020 Guosheng Cui, Ruxin Wang, Dan Wu, Ye Li

In recent years, semi-supervised multi-view nonnegative matrix factorization (MVNMF) algorithms have achieved promising performances for multi-view clustering.

Kernel principal component analysis network for image classification

no code implementations20 Dec 2015 Dan Wu, Jiasong Wu, Rui Zeng, Longyu Jiang, Lotfi Senhadji, Huazhong Shu

In order to classify the nonlinear feature with linear classifier and improve the classification accuracy, a deep learning network named kernel principal component analysis network (KPCANet) is proposed.

Classification Face Recognition +3

Conditional Random Fields with High-Order Features for Sequence Labeling

no code implementations NeurIPS 2009 Nan Ye, Wee S. Lee, Hai L. Chieu, Dan Wu

Dependencies among neighbouring labels in a sequence is an important source of information for sequence labeling problems.

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