Dakshak Keerthi chandra - Google Scholar

Get my own profile

Cited by

	All	Since 2019
Citations	36	35
h-index	4	4
i10-index	2	2

0

10

5

20182019202020212022202320241 4 3 7 9 9 3

Public access

1 article

1 article

available

not available

Based on funding mandates

Co-authors

Yanjie FuAssociate Professor, School of Computing and AI, Arizona State UniversityVerified email at asu.edu
Jennifer LeopoldVerified email at mst.edu
Pengyang WangAssistant Professor, University of MacauVerified email at um.edu.mo
Dan (Linda) LinProfessor of Computer Science, Director of I-Privacy Lab, Vanderbilt UniversityVerified email at vanderbilt.edu
Kunpeng LiuAssistant Professor, Portland State UniversityVerified email at pdx.edu

Dakshak Keerthi chandra

Dakshak Keerthi chandra

Missouri University of Science and Technology

Verified email at mst.edu

Representation learning unsupervised learning spatio-temporal Time Series Network Embedding


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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

The system can't perform the operation now. Try again later.

Articles 1–6