activity
20192025
most citedFrom Distributed Machine Learning to Federated Learning: A Survey

359 citations · 635 across the 21 of their papers we have counts for

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2023★ 18 cited

Spatial Heterophily Aware Graph Neural Networks

Congxi Xiao, Jingbo Zhou, Jizhou Huang +2

Graph Neural Networks (GNNs) have been broadly applied in many urban applications upon formulating a city as an urban graph whose nodes are urban objects like regions or points of…

cs.LG2022★ 2 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.LG2022★ 25 cited

DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps

Jizhou Huang, Zhengjie Huang, Xiaomin Fang +5

Estimated time of arrival (ETA) prediction, also known as travel time estimation, is a fundamental task for a wide range of intelligent transportation applications, such as navigat…

cs.LG2021★ 2 cited

Adversarial Neural Trip Recommendation

Linlang Jiang, Jingbo Zhou, Tong Xu +4

Trip recommender system, which targets at recommending a trip consisting of several ordered Points of Interest (POIs), has long been treated as an important application for many lo…

cs.LG2020★ 1 cited

C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak

Congxi Xiao, Jingbo Zhou, Jizhou Huang +4

The novel coronavirus disease (COVID-19) has crushed daily routines and is still rampaging through the world. Existing solution for nonpharmaceutical interventions usually needs to…