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
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

S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
Anderson Schneider, Zijie Pan, Sahil Garg, Dongjin Song, Yuriy Nevmyvaka, Yushan Jiang
Research Type: Conference Proceedings

Foundation Models for Time Series Analysis: A Tutorial and Survey
Dongjin Song, Min Jin, Yushan Jiang, Yuxuan Liang, Yuqi Nie, Qingsong Wen, Haomin Wen, Shirui Pan
Research Type: Conference Proceedings

Empowering Time Series Analysis with Large Language Models: A Survey
Zijie Pan, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Xikun Zhang, Yushan Jiang, Dongjin Song
Research Type: Conference Proceedings

Convolutional Transformer based Dual Discriminator General Adversarial Networks for Video Anomaly Detection
Dongjin Song, Yuncong Chen, Jingchao Ni, Haifeng Chen, Zhengzhang Chen, Xinyang Feng
Research Type: Conference Proceedings

Self-supervised learning for Time Series Representation
James Zhang, Kexin Zhang, Rongyao Cai, Yuxuan Liang, Yong Liu, Chaoli Zhang, Dongjin Song, Ming Jin, Guansong Pan, Shirui Pan, Qingsong Wen
Research Type: Journal Article

ProvAudit: Enhance High-Level Privacy Inference Through System Provenance Data
Dongjin Song
Research Type: Journal Article

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

Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
Jiao Yang, Kai Yang, Dongjin Song
Research Type: Journal Article