Dakshak Keerthi chandra

20182019202020212022202320241 4 3 7 9 9 3

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Yanjie FuAssociate Professor, School of Computing and AI, Arizona State UniversityEmail verificata su asu.edu
Jennifer LeopoldEmail verificata su mst.edu
Pengyang WangAssistant Professor, University of MacauEmail verificata su um.edu.mo
Dan (Linda) LinProfessor of Computer Science, Director of I-Privacy Lab, Vanderbilt UniversityEmail verificata su vanderbilt.edu
Kunpeng LiuAssistant Professor, Portland State UniversityEmail verificata su pdx.edu

Dakshak Keerthi chandra

Email verificata su mst.edu


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks DK Chandra, P Wang, J Leopold, Y Fu Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019	14	2019
RIPA: Real-time image privacy alert system DK Chandra, W Chowgule, Y Fu, D Lin 2018 IEEE 4th International Conference on Collaboration and Internet …, 2018	11	2018
Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding D Keerthi Chandra, P Wang, J Leopold, Y Fu Proceedings of the 29th ACM International Conference on Information …, 2020	5	2020
How unbalanced are bicycle dynamics? Demand-supply shortage detection with spatiotemporal tensor factorization in station-less bike systems DK Chandra, K Liu, Y Fu SDM 18, 18th, 2018	4	2018
NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data DK Chandra, J Leopold, Y Fu 2021 IEEE International Conference on Big Data (Big Data), 2884-2893, 2021	2	2021
Representation learning on heterogeneous spatiotemporal networks DK Chandra Missouri University of Science and Technology, 2022		2022

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