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07/18/2023
3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving
For the SLAM system in robotics and autonomous driving, the accuracy of ...
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11/12/2021
GraSSNet: Graph Soft Sensing Neural Networks
In the era of big data, data-driven based classification has become an e...
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10/14/2021
Integrated Path Planning and Tracking Control of Marine Current Turbine in Uncertain Ocean Environments
This paper presents an integrated path planning and tracking control of ...
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08/12/2021
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting
Ocean current, fluid mechanics, and many other spatio-temporal physical ...
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08/11/2021
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
Spatio-temporal forecasting is of great importance in a wide range of dy...
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09/21/2020
Evolutionary Architecture Search for Graph Neural Networks
Automated machine learning (AutoML) has seen a resurgence in interest wi...
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08/04/2020
Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting
According to the National Academies, a weekly forecast of velocity, vert...
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12/26/2019
Multi-Label Graph Convolutional Network Representation Learning
Knowledge representation of graph-based systems is fundamental across ma...
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12/26/2019