Dongjin Song
Assistant Professor/Computing

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Scholarly Contributions

49 Scholarly Contributions

22
Conference Proceedings
15
Journal Articles
7
Poster/Presentations
5
Patent and Intellectual Propertys
Sparsified Subgraph Memory for Continual Graph Representation Learning
2024
Dacheng Tao, Dongjin Song, Xikun Zhang
Research Type: Conference Proceedings

Structrual Knowledge Informed Continual Learning for Multivariate Time Series Forecasting
Yuriy Nevmyvaka, Zijie Pan, Yushan Jiang, Sahil Garg, Kashif Rasul, Anderson Schneider, Dongjin Song
Research Type: Conference Proceedings

Time series retrieval for analyzing and correcting system status
2021
Dongjin Song
Research Type: Patent and Intellectual Property

TimeAutoAD: Autonomous Anomaly Detection With Self-Supervised Contrastive Loss for Multivariate Time Series
2022
Dacheng Tao, Kai Yang, Jiao Yang, Dongjin Song
Research Type: Journal Article

Topology-aware Embedding Memory for Continual Learning on Expanding Networks
Yixin Chen, Dongjin Song, Dacheng Tao, Xikun Zhang
Research Type: Conference Proceedings

Towards Knowledge Informed Time Series Forecasting
2024
Dongjin Song
Research Type: Poster/Presentation

Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing
Jiangwei Wang, Fei Miao
Research Type: Journal Article

Unsupervised anomaly detection, diagnosis, and correction in multivariate time series data
2021
Dongjin Song
Research Type: Patent and Intellectual Property

Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement
2024
Dongjin Song, Alexander Russell, Jinbo Bi, Bing Wang
Research Type: Conference Proceedings