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Dongjin Song

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Empowering Time Series Analysis with Large Language Models: A Survey

Feb 05, 2024
Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

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Rank Supervised Contrastive Learning for Time Series Classification

Jan 31, 2024
Qianying Ren, Dongsheng Luo, Dongjin Song

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Topology-aware Embedding Memory for Learning on Expanding Graphs

Jan 24, 2024
Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao

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Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements

Jan 23, 2024
Jiahui Zhao, Ziyi Meng, Stepan Gordeev, Zijie Pan, Dongjin Song, Sandro Steinbach, Caiwen Ding

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Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis

Jul 25, 2023
Yang Jiao, Kai Yang, Dongjin Song

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Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Jun 16, 2023
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan

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Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles

Mar 08, 2023
Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su

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Asynchronous Distributed Bilevel Optimization

Dec 20, 2022
Yang Jiao, Kai Yang, Tiancheng Wu, Dongjin Song, Chengtao Jian

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Distributed Distributionally Robust Optimization with Non-Convex Objectives

Oct 14, 2022
Yang Jiao, Kai Yang, Dongjin Song

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Deep Federated Anomaly Detection for Multivariate Time Series Data

May 09, 2022
Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo

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