132 citations · 234 across the 10 of their papers we have counts for
10 papers
City-scale synthetic individual-level vehicle trip data
Guilong Li, Yixian Chen, Yimin Wang +3
Trip data that records each vehicle's trip activity on the road network describes the operation of urban traffic from the individual perspective, and it is extremely valuable for t…
Urban Vehicle Mobility Characteristic Mining and Trip Generation Based on Knowledge Graph
Guilong Li, Yixian Chen, Jun Xie +2
The operation of urban transportation produces massive traffic data, which contains abundant information and is of great significance for the study of intelligent transportation sy…
Potential destination discovery for low predictability individuals based on knowledge graph
Guilong Li, Yixian Chen, Qionghua Liao +1
Travelers may travel to locations they have never visited, which we call potential destinations of them. Especially under a very limited observation, travelers tend to show random…
City-Scale Holographic Traffic Flow Data based on Vehicular Trajectory Resampling
Yimin Wang, Yixian Chen, Guilong Li +3
Despite abundant accessible traffic data, researches on traffic flow estimation and optimization still face the dilemma of detailedness and integrity in the measurement. A dataset…
Probabilistic Outlier Detection and Generation
Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen +1
A new method for outlier detection and generation is introduced by lifting data into the space of probability distributions which are not analytically expressible, but from which s…
Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation
Xinyu Chen, Yixian Chen, Nicolas Saunier +1
Missing value problem in spatiotemporal traffic data has long been a challenging topic, in particular for large-scale and high-dimensional data with complex missing mechanisms and…
MGA: Momentum Gradient Attack on Network
Jinyin Chen, Yixian Chen, Haibin Zheng +4
The adversarial attack methods based on gradient information can adequately find the perturbations, that is, the combinations of rewired links, thereby reducing the effectiveness o…
Multiscale Evolutionary Perturbation Attack on Community Detection
Jinyin Chen, Yixian Chen, Lihong Chen +2
Community detection, aiming to group nodes based on their connections, plays an important role in network analysis, since communities, treated as meta-nodes, allow us to create a l…
GA Based Q-Attack on Community Detection
Jinyin Chen, Lihong Chen, Yixian Chen +4
Community detection plays an important role in social networks, since it can help to naturally divide the network into smaller parts so as to simplify network analysis. However, on…
Fast Gradient Attack on Network Embedding
Jinyin Chen, Yangyang Wu, Xuanheng Xu +3
Network embedding maps a network into a low-dimensional Euclidean space, and thus facilitate many network analysis tasks, such as node classification, link prediction and community…