Dawei Zhou
Titel
Geciteerd door
Geciteerd door
Jaar
Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing
D Zhou, J Luo, V Silenzio, Y Zhou, J Hu, G Currier, H Kautz
The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-2015), 2015
482015
A local algorithm for structure-preserving graph cut
D Zhou, S Zhang, MY Yildirim, S Alcorn, H Tong, H Davulcu, J He
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
472017
MUVIR: Multi-View Rare Category Detection
D Zhou, J He, KS Candan, H Davulcu
The 24th International Joint Conference on Artificial Intelligence (IJCAI-15), 2015
342015
SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization
D Zhou, J He, H Yang, W Fan
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
322018
Rare Category Detection on Time-Evolving Graphs
D Zhou, K Wang, N Cao, J He
IEEE International Conference on Data Mining (ICDM2015), 2015
282015
Hidden: hierarchical dense subgraph detection with application to financial fraud detection
S Zhang, D Zhou, MY Yildirim, S Alcorn, J He, H Davulcu, H Tong
Proceedings of the 2017 SIAM International Conference on Data Mining, 570-578, 2017
182017
REACH^2-Mote: A Range Extending Passive Wake-up Wireless Sensor Node
L Chen, J Warner, PL Yung, D Zhou, W Heinzelman, L Demirkol, ...
ACM Transactions on Sensor Networks, Vol. V, No. N, Article A,, 2015
172015
Bi-level Rare Temporal Pattern Detection
D Zhou, J He, Y Cao, J Seo
IEEE International Conference on Data Mining series (ICDM2016), 2016
132016
Misc-GAN: A multi-scale generative model for graphs
D Zhou, L Zheng, J Xu, J He
Frontiers in Big Data 2, 3, 2019
122019
Discovering rare categories from graph streams
D Zhou, A Karthikeyan, K Wang, N Cao, J He
Data mining and knowledge discovery 31 (2), 400-423, 2017
112017
A data-driven graph generative model for temporal interaction networks
D Zhou, L Zheng, J Han, J He
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
92020
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks
Z Liu, D Zhou, J He
Proceedings of the 28th ACM International Conference on Information and …, 2019
82019
Domain adaptive multi-modality neural attention network for financial forecasting
D Zhou, L Zheng, Y Zhu, J Li, J He
Proceedings of The Web Conference 2020, 2230-2240, 2020
72020
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics
P Yang, H Yang, H Fu, D Zhou, J Ye, T Lappas, J He
ACM Transactions on Knowledge Discovery from Data (TKDD-2015), 2015
72015
Motif-preserving dynamic local graph cut
D Zhou, J He, H Davulcu, R Maciejewski
2018 IEEE International Conference on Big Data (Big Data), 1156-1161, 2018
52018
Local motif clustering on time-evolving graphs
D Fu, D Zhou, J He
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
42020
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk
Z Liu, D Zhou, Y Zhu, J Gu, J He
Proceedings of the thirty-fourth AAAI Conference on Artificial Intelligence …, 2020
32020
Gold panning from the mess: Rare category exploration, exposition, representation, and interpretation
D Zhou, J He
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
32019
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective
D Zhou, S Zhang, MY Yildirim, S Alcorn, H Tong, H Davulcu, J He
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (2), 1-26, 2021
12021
RCAnalyzer: visual analytics of rare categories in dynamic networks
J Pan, D Han, F Guo, DW Zhou, N Cao, J He, M Xu, W Chen
Frontiers of Information Technology & Electronic Engineering 21, 491-506, 2020
12020
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20