Dongjin Song
Assistant Professor/Computing

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Machine learning crop yield models based on meteorological features and comparison with a process-based model
2022
Meijian Yang, Jinbo Bi, Guiling Wang, Koushan Mohammadi, Dongjin Song, Qinqing Liu
Research Type: Journal Article

Interpreting Convolutional Sequence Model by Learning Local and Resolution Controllable Prototypes
2024
Wei Cheng, Haifeng Chen, Bo Zong, Zhengzhang Chen, Xuchao Zhang, Dongjin Song, Yanchi Liu, Jingchao Ni
Research Type: Conference Proceedings

Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation
2024
Wenchao Yu, Dongjin Song, Wei Cheng, Yushan Jiang, Haifeng Chen
Research Type: Conference Proceedings

Inductive Contextual Relation Learning for Personalization
2021
Dongjin Song, Nitesh Vijay Chawla, Chuxu Zhang, Haifeng Chen, Huaxiu Yao, Meng Jiang, Chao Huang, Lu Yu
Research Type: Journal Article

Improved inter-residue contact prediction via a hybrid generative model and dynamic loss function
2022
Anna Tarakanova, Mohammad Mahdi Behzadi, Dongjin Song, Mohammad Madani, Horea T Ilies
Research Type: Journal Article

Hierarchical Prototype Networks for Continual Graph Representation Learning
2023
Xikun Zhang, Dongjin Song, Dacheng Tao
Research Type: Journal Article

HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Variables
2024
Dacheng Tao, Chang Li, Dongjin Song
Research Type: Conference Proceedings

Harnessing Deep Neural Networks for Multivariate Time Series Analysis
2022
Research Type: Poster/Presentation

Graph-based sensor ranking
2022
Research Type: Patent and Intellectual Property

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

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

FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
2024
Wei Cheng, Haifeng Chen, Dongjin Song, Jingchao Ni, Zhengzhang Chen, Liang Tong, Yevgeniy Vorobeychik
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

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
2024
Xuchao Zhang, Bo Zong, Jingchao Ni, Haifeng Chen, Susan Davidson, Dongjin Song, Yinjun Wu, Wei Cheng, Zhengzhang Chen, Yanchi Liu
Research Type: Conference Proceedings

Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse Multivariate Time Series
2020
Dongjin Song, Wei Cheng, Yinjun Wu, Susan Davidson, Yanchi Liu, Jingchao Ni, Zhengzhang Chen, Xuchao Zhang, Haifeng Chen, Bo Zong
Research Type: Poster/Presentation

Dual stage attention based recurrent neural network for time series prediction
2021
Research Type: Patent and Intellectual Property

Distributed Distributionally Robust Optimization with Non-Convex Objectives
2024
Yang Jiao, Kai Yang, Dongjin Song
Research Type: Conference Proceedings

Deep Multi-Instance Contrative Learning with Dual Attention for Anomaly Precursor Detection
2024
Xiang Zhang, Haifeng Chen, Jingchao Ni, Dongsheng Luo, Bo Zong, Dongjin Song, Masanao Natsumeda, Dongkuan Xu, Wei Cheng
Research Type: Conference Proceedings

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection
2021
Bo Zong, Dongkuan Xu, Jingchao Ni, Dongsheng Luo, Haifeng Chen, Dongjin Song, Masanao Natsumeda, Xiang Zhang, Wei Cheng
Research Type: Poster/Presentation

Deep Federated Anomaly Detection for Multivariate Time Series Data
2024
Takehiko Mizoguchi, Wei Cheng, Dongjin Song, Haifeng Chen, Bo Zong, Wei Zhu, Yuncong Chen, Jiebo Luo, Cristian Lumerzanu
Research Type: Conference Proceedings