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20152022
most citedIntelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning

97 citations · 457 across the 50 of their papers we have counts for

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Showing cs.LGShow all

23 papers · 1 filter

cs.LG20222 cited

A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection

Congxi Xiao, Jingbo Zhou, Jizhou Huang +4

Urban villages (UVs) refer to the underdeveloped informal settlement falling behind the rapid urbanization in a city. Since there are high levels of social inequality and social ri…

cs.LG20222 cited

Feature Forgetting in Continual Representation Learning

Xiao Zhang, Dejing Dou, Ji Wu

In continual and lifelong learning, good representation learning can help increase performance and reduce sample complexity when learning new tasks. There is evidence that represen…

cs.LG202122 cited

SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing

Kafeng Wang, Haoyi Xiong, Jie Zhang +3

The operation and management of intelligent transportation systems (ITS), such as traffic monitoring, relies on real-time data aggregation of vehicular traffic information, includi…

cs.LG2021

AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow

Haiyan Jiang, Haoyi Xiong, Dongrui Wu +2

Principal component analysis (PCA) has been widely used as an effective technique for feature extraction and dimension reduction. In the High Dimension Low Sample Size (HDLSS) sett…

cs.LG2021

Exploring the Common Principal Subspace of Deep Features in Neural Networks

Haoran Liu, Haoyi Xiong, Yaqing Wang +3

We find that different Deep Neural Networks (DNNs) trained with the same dataset share a common principal subspace in latent spaces, no matter in which architectures (e.g., Convolu…

cs.LG202111 cited

GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction

Shuangli Li, Jingbo Zhou, Tong Xu +2

Recently many efforts have been devoted to applying graph neural networks (GNNs) to molecular property prediction which is a fundamental task for computational drug and material di…