Danke Wu

According to our database, Danke Wu authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LIMFA: label-irrelevant multi-domain feature alignment-based fake news detection for unseen domain.

Danke Wu, Zhenhua Tan, Haoran Zhao, Taotao Jiang, Meilin Qi

Neural Comput. Appl., April, 2024

SCTF: an efficient neural network based on local spatial compression and full temporal fusion for video violence detection.

Zhenhua Tan, Zhenche Xia, Pengfei Wang, Danke Wu, Li Li

Multim. Tools Appl., April, 2024

2023

TCSE: Trend and cascade based spatiotemporal evolution network to predict online content popularity.

Danke Wu, Zhenhua Tan, Zhenche Xia, Jingyu Ning

Multim. Tools Appl., 2023

User Stance Aware Network for Rumor Detection Using Semantic Relation Inference and Temporal Graph Convolution.

Danke Wu, Zhenhua Tan, Taotao Jiang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Find Indicative Users for Rumor Detection Using User Credibility and Stance.

Yuansong Zheng, Zhenhua Tan, Danke Wu, Jingyu Ning

Proceedings of the IEEE International Conference on Communications, 2023

2022

Logistic-ELM: A Novel Fault Diagnosis Method for Rolling Bearings.

Zhenhua Tan, Jingyu Ning, Kai Peng, Zhenche Xia, Danke Wu

CoRR, 2022

Single-Channel Speech Separation Focusing on Attention DE.

Xinshu Li, Zhenhua Tan, Zhenche Xia, Danke Wu, Bin Zhang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Generalized Model for Crowd Violence Detection Focusing on Human Contour and Dynamic Features.

Zhen Chexia, Zhenhua Tan, Danke Wu, Jingyu Ning, Bin Zhang

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

MRAInf: Multilayer Relation Attention based Social Influence Prediction Net with Local Stimulation.

Zhenhua Tan, Fan Li, Danke Wu

Proceedings of the IEEE Global Communications Conference, 2021

2019

AIM: Activation increment minimization strategy for preventing bad information diffusion in OSNs.

Zhenhua Tan, Danke Wu, Tianhan Gao, Ilsun You, Vishal Sharma

Future Gener. Comput. Syst., 2019

SDP: An Improved Baseline Estimation Model Based On Standard Deviation Proportion.

Zhenhua Tan, Danke Wu, Liangliang He, Qiuyun Chang, Bin Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

APMSID: Activated Probability for Multi-Source Information Diffusion in Online Social Networks.

Zhenhua Tan, Danke Wu, Guangming Yang, Bin Zhang

IEEE Access, 2018

LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation.

Liangliang He, Zhenhua Tan, Guibing Guo, Qiuyun Chang, Danke Wu

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018