Search Results for author: Wei Duan

Found 6 papers, 2 papers with code

Layer-diverse Negative Sampling for Graph Neural Networks

no code implementations18 Mar 2024 Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan

Experiments on various real-world graph datasets demonstrate the effectiveness of our approach in improving the diversity of negative samples and overall learning performance.

Predicting Single-cell Drug Sensitivity by Adaptive Weighted Feature for Adversarial Multi-source Domain Adaptation

no code implementations8 Mar 2024 Wei Duan, Hui Liu

The development of single-cell sequencing technology had promoted the generation of a large amount of single-cell transcriptional profiles, providing valuable opportunities to explore drug-resistant cell subpopulations in a tumor.

Domain Adaptation

To Transmit or Not to Transmit: Optimal Sensor Schedule for Remote State Estimation of Discrete-Event Systems

no code implementations23 Nov 2023 Yingying Liu, Jin Hu, Yongxia Yang, Wei Duan

A transmission mechanism decides whether the observable information is transmitted or not, according to an information transmission policy, such that the receiver has sufficient information to satisfy the purpose of decision-making.

Decision Making

Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes

1 code implementation5 Dec 2022 Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu

However, there are more non-neighbour nodes in the whole graph, which provide diverse and useful information for the representation update.

Computational Efficiency Graph Representation Learning +2

Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples

1 code implementation3 Oct 2022 Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu

An interesting way to understand GCNs is to think of them as a message passing mechanism where each node updates its representation by accepting information from its neighbours (also known as positive samples).

Representation Learning

Interpretable Melody Generation from Lyrics with Discrete-Valued Adversarial Training

no code implementations30 Jun 2022 Wei Duan, Zhe Zhang, Yi Yu, Keizo Oyama

Generating melody from lyrics is an interesting yet challenging task in the area of artificial intelligence and music.

Cannot find the paper you are looking for? You can Submit a new open access paper.