activity
20192021
most citedSALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition

22 citations · 62 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SI2021

TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation

Ling Chen, Da Wang, Dandan Lyu +2

Evolving temporal networks serve as the abstractions of many real-life dynamic systems, e.g., social network and e-commerce. The purpose of temporal network embedding is to map eac…

cs.LG2021

Multi-Relation Aware Temporal Interaction Network Embedding

Ling Chen, Shanshan Yu, Dandan Lyu +1

Temporal interaction networks are formed in many fields, e.g., e-commerce, online education, and social network service. Temporal interaction network embedding can effectively mine…

cs.MM2021★ 1 cited

Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos

Ling Chen, Dandan Lyu, Shanshan Yu +1

Geo-tagged photo based tourist attraction recommendation can discover users' travel preferences from their taken photos, so as to recommend suitable tourist attractions to them. Ho…

eess.SP2021★ 22 cited

SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition

Ling Chen, Yi Zhang, Shenghuan Miao +4

Unsupervised user adaptation aligns the feature distributions of the data from training users and the new user, so a well-trained wearable human activity recognition (WHAR) model c…

cs.LG2021★ 22 cited

HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method

Ling Chen, Jiahui Xu, Binqing Wu +4

Accurately forecasting air quality is critical to protecting general public from lung and heart diseases. This is a challenging task due to the complicated interactions among disti…

cs.LG2020★ 2 cited

Relational State-Space Model for Stochastic Multi-Object Systems

Fan Yang, Ling Chen, Fan Zhou +2

Real-world dynamical systems often consist of multiple stochastic subsystems that interact with each other. Modeling and forecasting the behavior of such dynamics are generally not…