research
∙
09/17/2022
ASIR: Robust Agent-based Representation Of SIR Model
Compartmental models (written as CM) and agent-based models (written as ...
share
research
∙
11/01/2021
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
The Text-to-SQL task, aiming to translate the natural language of the qu...
research
∙
05/21/2021
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution
Graph convolutional networks (GCNs) have achieved great success in deali...
research
∙
12/22/2020
Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition
Named entity recognition (NER) for identifying proper nouns in unstructu...
research
∙
05/06/2020
TAG : Type Auxiliary Guiding for Code Comment Generation
Existing leading code comment generation approaches with the structure-t...
research
∙
11/30/2019
Disentanglement Challenge: From Regularization to Reconstruction
The challenge of learning disentangled representation has recently attra...
research
∙
10/13/2019
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems
Data-driven models are becoming essential parts in modern mechanical sys...
research
∙
12/03/2018
Data Driven Chiller Plant Energy Optimization with Domain Knowledge
Refrigeration and chiller optimization is an important and well studied ...
research
∙
09/19/2018
Twisty Takens: A Geometric Characterization of Good Observations on Dense Trajectories
In nonlinear time series analysis and dynamical systems theory, Takens' ...
research
∙
11/16/2017
