Dongjin Song
Assistant Professor/Computing

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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
Research Type: Conference Proceedings

Channel-Temporal Gated Networks for Long Sequence Time-series Forecasting
Research Type: Conference Proceedings

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

A Novel Hybrid SIAM International Conference on Data Mining (SDM),Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System
Dongjin Song, Kunpeng Han, Jianfeng Zhou, Lisha Ye, Zhe Yin, Haoyuan Hu
Research Type: Conference Proceedings

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

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

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