Dongjin Song
Assistant Professor/Computing
Storrs Mansfield
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Scholarly Contributions
49 Scholarly Contributions
Machine learning crop yield models based on meteorological features and comparison with a process-based model
2022
Research Type: Journal Article
Interpreting Convolutional Sequence Model by Learning Local and Resolution Controllable Prototypes
2024
Research Type: Conference Proceedings
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation
2024
Research Type: Conference Proceedings
Improved inter-residue contact prediction via a hybrid generative model and dynamic loss function
2022
Research Type: Journal Article
Hierarchical Prototype Networks for Continual Graph Representation Learning
2023
Research Type: Journal Article
HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Variables
2024
Research Type: Conference Proceedings
Harnessing Deep Neural Networks for Multivariate Time Series Analysis
2022
Research Type: Poster/Presentation
Foundation Models for Time Series Analysis: A Tutorial and Survey
Research Type: Conference Proceedings
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
Research Type: Journal Article
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
2024
Research Type: Conference Proceedings
Empowering Time Series Analysis with Large Language Models: A Survey
Research Type: Conference Proceedings
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
2024
Research Type: Conference Proceedings
Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse Multivariate Time Series
2020
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
Research Type: Conference Proceedings
Deep Multi-Instance Contrative Learning with Dual Attention for Anomaly Precursor Detection
2024
Research Type: Conference Proceedings
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection
2021
Research Type: Poster/Presentation