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
Multi-task Modular Recurrent Networks
2024
Jingchao Ni, Xin Dong, Haifeng Chen, Wenchao Yu, Wei Cheng, Dongkuan Xu, Bo Zong, Xiang Zhang, Dongjin Song, Xuchao Zhang
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

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

CGBL: Benchmark Tasks for Continual Graph Representation Learning
2024
Xikun Zhang, Dacheng Tao, Dongjin Song
Research Type: Conference Proceedings

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

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

Asynchronous Distributed Bilevel Optimization
2024
Kai Yang, Tiancheng Wu, Yang Jiang, Dongjin Song, Chengtao Jian
Research Type: Conference Proceedings

Sparsified Subgraph Memory for Continual Graph Representation Learning
2024
Dacheng Tao, Dongjin Song, Xikun Zhang
Research Type: Conference Proceedings

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

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

Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles
2024
Muzi Peng, Jiangwei Wang, Lili Su, Dongjin Song, Fei Miao
Research Type: Conference Proceedings

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

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

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

Continual Learning on Graphs, Challenges, Methods, and Opptunities
2024
Xikun Zhang, Dacheng Tao, Dongjin Song
Research Type: Poster/Presentation

Ricci Curvature based Graph Sparsification for Continual Graph Representation Learning
2023
Dongjin Song, Dacheng Tao, Xikun Zhang
Research Type: Journal Article

Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data
2023
Alexander Russell, Bing Wang, Dongjin Song, Jinbo Bi
Research Type: Journal Article

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

Continual Graph Learning
2023
Yushan Jiang, Dacheng Tao, Xikun Zhang, Dongjin Song, Zijie Pan
Research Type: Poster/Presentation