Topology
Time Series Analysis
Dongjin Song
Assistant Professor/Computing

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Scholarly Contributions

6 Scholarly Contributions

6
Conference Proceedingss
4
Journal Articles
Structrual Knowledge Informed Continual Learning for Multivariate Time Series Forecasting
Sahil Garg, Yushan Jiang, Anderson Schneider, Kashif Rasul, Dongjin Song, Zijie Pan, Yuriy Nevmyvaka
Research Type: Conference Proceedings
Channel-Temporal Gated Networks for Long Sequence Time-series Forecasting
Dongjin Song
Research Type: Conference Proceedings
S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
Anderson Schneider, Sahil Garg, Yushan Jiang, Yuriy Nevmyvaka, Zijie Pan, Dongjin Song
Research Type: Conference Proceedings
Topology-aware Embedding Memory for Continual Learning on Expanding Networks
Dacheng Tao, Dongjin Song, Yixin Chen, Xikun Zhang
Research Type: Conference Proceedings
Foundation Models for Time Series Analysis: A Tutorial and Survey
Yushan Jiang, Yuqi Nie, Dongjin Song, Yuxuan Liang, Qingsong Wen, Shirui Pan, Haomin Wen, Min Jin
Research Type: Conference Proceedings
Empowering Time Series Analysis with Large Language Models: A Survey
Zijie Pan, Yushan Jiang, Dongjin Song, Anderson Schneider, Yuriy Nevmyvaka, Sahil Garg, Xikun Zhang
Research Type: Conference Proceedings