Dongjin Song
Assistant Professor/Computing

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Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement
2024
Research Type: Conference Proceedings

Unsupervised anomaly detection, diagnosis, and correction in multivariate time series data
2021
Research Type: Patent and Intellectual Property

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

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

Topology-aware Embedding Memory for Continual Learning on Expanding Networks
Yixin Chen, Dongjin Song, Dacheng Tao, Xikun Zhang
Research Type: Conference Proceedings

TimeAutoAD: Autonomous Anomaly Detection With Self-Supervised Contrastive Loss for Multivariate Time Series
2022
Dacheng Tao, Kai Yang, Jiao Yang, Dongjin Song
Research Type: Journal Article

Time series retrieval for analyzing and correcting system status
2021
Research Type: Patent and Intellectual Property

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

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

Sequence models for audio scene recognition
2021
Research Type: Patent and Intellectual Property

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

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

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

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

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

Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data
2023
Research Type: Journal Article

Multimodal Sensing and Therapeutic Systems for Wound Healingand Management: A Review
2022
Yi Zhang, Huijie Li, Mohamadmahdi Samandari, Shao-Hao Lu, Ali Tamayol, Caihong Li, Dongjin Song, Xueju Wang
Research Type: Journal Article

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

Multi-Task Recurrent Modular Networks
2021
Xiang Zhang, Haifeng Zhang, Dongkuan Xu, Dongjin Song, Wei Cheng, Jingchao Ni, Xuchao Zhang, Wenchao Yu, Xin Dong
Research Type: Poster/Presentation

Mini-review: Recent advances in imaging-based rapid antibiotic susceptibility testing
2021
Research Type: Journal Article