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12/26/2022
Fewer is More: Efficient Object Detection in Large Aerial Images
Current mainstream object detection methods for large aerial images usua...
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11/06/2022
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning
A fundamental question in any peer-to-peer ride-sharing system is how to...
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03/20/2021
RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree
Identity recognition plays an important role in ensuring security in our...
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04/02/2020
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation
Contextual multi-armed bandit (MAB) achieves cutting-edge performance on...
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09/17/2019
Weak Edge Identification Nets for Ocean Front Detection
The ocean front has an important impact in many areas, it is meaningful ...
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07/12/2019
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation
Reinforcement learning aims at searching the best policy model for decis...
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11/06/2018
NeuralDrop: DNN-based Simulation of Small-Scale Liquid Flows on Solids
Small-scale liquid flows on solid surfaces provide convincing details in...
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04/27/2017
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression
Genome-wide association studies (GWAS) have achieved great success in th...
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08/19/2016