Dongjin Song - Concepedia

Author

Dongjin Song

University of California San Diego ORCID

Also Known As

D. Song, Dongjin SONG, Dongjin Song, Song, Dongjin

137

Publications

Citations

H-Index

Concepts

All Affiliations

University of California San Diego University of Connecticut NEC (United States)The University of Sydney Princeton University

About

Dongjin Song is an author at University of California San Diego specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	21	27	5.3K
2	Business	11	11	2K
3	Public Health	2	2	133
4	Arts	1	1	59
5	Communication	1	1	59

Dongjin Song

Publications

5.7K

Citations

H-Index

Page 1

	Year	Citations
Heterogeneous Graph Neural Network Chuxu Zhang, Dongjin Song, Chao Huang, Graph Representation LearningMachine LearningEngineeringNetwork AnalysisLink Prediction	2019	1.4K
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin, Dongjin Song, Haifeng Chen, Forecasting MethodologySequence ModellingEngineeringMachine LearningData Science	2017	1.3K
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data Chuxu Zhang, Dongjin Song, Yuncong Chen, Proceedings of the AAAI Conference on Artificial Intelligence Anomaly DetectionMachine LearningData ScienceData MiningPattern Recognition	2019	741
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin, Dongjin Song, Haifeng Chen, arXiv (Cornell University) Forecasting MethodologySequence ModellingEngineeringMachine LearningData Science	2017	375
Biologically Inspired Feature Manifold for Scene Classification Dongjin Song, Dacheng Tao IEEE Transactions on Image Processing	2009	212
Learning Deep Network Representations with Adversarially Regularized Autoencoders Wenchao Yu, Cheng Zheng, Wei Cheng, Artificial IntelligenceGeometric LearningDeep Neural NetworksEngineeringMachine Learning	2018	187
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang, Qingsong Wen, Chaoli Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringMachine LearningText MiningData ScienceData Mining	2024	171
Foundation Models for Time Series Analysis: A Tutorial and Survey Yuxuan Liang, Haomin Wen, Yuqi Nie, Forecasting MethodologyEngineeringMethodology-centric ClassificationMacroeconomic ForecastingData Science	2024	137
Robust Graph Representation Learning via Neural Sparsification Cheng Zheng, Bo Zong, Wei Cheng, Graph SparsityGraph Representation LearningGraph TheoryMachine LearningEngineering	2020	102
High resolution population estimates from telecommunications data Rex W. Douglass, David Meyer, Megha Ram, EPJ Data Science EngineeringData ScienceCensusDisaster ReliefGeography	2015	100

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