Author

Sandeep Kumar

Indian Institute of Technology Delhi - Cited by 336 - Optimization - Machine Learning - Graphical Models - Signal Processing

Biography

Dr. Sandeep Kumar is an Associate professor in the department of laboratory science and biotechnology, Kaohsiung medical university, Taiwan, located in china. His study interests major on Urology, Chemotherapy, Urolithiasis, Surgery, Urodynamics and Bladder Cancer. In recent years, he has studied Men’s Health. Currently , Dr. Sandeep Kumar is the author/editors/reviewer in several international journals. He published 10 articles in many journals and the articles are informative and got good citations.
Title
Cited by
Year
A Unified Framework for Structured Graph Learning via Spectral Constraints
S Kumar, J Ying, JV Cardoso, DP PalomarJournal of Machine Learning Research (JMLR) 21 (22), 1-60, 2020202
78
2020
Asynchronous Optimization over Heterogeneous Networks via Consensus ADMM
S Kumar, R Jain, K RajawatIEEE Transactions on Signal and Information Processing over Networks 3 (1 …, 2017201
52
2017
Structured Graph Learning via Laplacian Spectral Constraints
S Kumar, J Ying, JVM Cardoso, D PalomarAdvances in Neural Information Processing System (NeurIPS 2019), 2019201
48
2019
Parameter Estimation of Heavy-Tailed AR Model with Missing Data via Stochastic EM
J Liu, S Kumar, DP PlaomarIEEE Transactions on Signal Processing 67 (8), 2159-2172, 2019201
41
2019
Optimization Algorithms on Graph Laplacian Estimation via ADMM and MM
L Zhao, Y Wang, S Kumar, DP PalomarIEEE Transactions on Signal Processing 67 (16), 4231 - 4244, 2019201
33
2019
Cooperative Localization of Mobile Networks via Velocity-Assisted Multidimensional Scaling
Sandeep Kumar, Raju Kumar, and Ketan RajawatIEEE Transactions on Signal Processing 64 (7), 1744--1758, 201628201
28
2016
Student’s t VAR Modeling with Missing Data via Stochastic EM and Gibbs Sampling
R Zhou, J Liu, S Kumar, DP PalomarIEEE Transactions on Signal Processing, 2020202
14
2020
Stochastic Multidimensional Scaling
K Rajawat, S KumarIEEE Transactions on Signal and Information Processing over Networks, 2017201
13
2017
Majorization-Minimization on the Stiefel Manifold with Application to Robust Sparse PCA
A Berloy, S Kumar, S Ying, D PalomarIEEE Transactions on Signal Processing, 2021202
11
2021
Parameter Estimation of Heavy-Tailed AR(P) Model from Incomplete Data
J Liu, S Kumar, DP PlaomarEuropean Signal Processing Conference, 2019, 2019201
5
2019
Distributed interference alignment for MIMO cellular network via consensus ADMM
S Kumar, K Rajawat2016 IEEE Global Conference on Signal and Information Processing, 2016201
4
2016
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I
S Kumar, K Rajawat, DP PlaomarArxiv https://arxiv.org/abs/1907.08969, 2019201
3
2019
Parameter Estimation of Heavy-Tailed Random Walk Model from Incomplete Data
J Liu, S Kumar, DP PlaomarICASSP, 018, 01801
2
2018
Velocity-assisted multidimensional scaling
S Kumar, K Rajawat205 IEEE 6th International Workshop on Signal Processing Advances in …, 20520
1
2015
Robust graph neural networks using weighted graph laplacian
B Runwal, S KumararXiv preprint arXiv:2208.0853, 2022202
1
2022
Bipartite Structured Gaussian Graphical Modelling via Adjacency Spectral Priors
S Kumar, J Ying, VDM Cardoso, Jose, D PalomarIEEE Asilomar Conference on Signals, Systems & Computers, 20920
1
2019
Robustifying GNN Via Weighted Laplacian
B Runwal, S Kumar2022 IEEE International Conference on Signal Processing and Communications …, 2022202
1
2022

Referred From: https://scholar.google.co.in/citations?user=lycMMW8AAAAJ&hl=en

Cited by
Citations 336
h-index 9
i10-index 9
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