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Qunwei Li
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Year
Robust AN-Aided Beamforming and Power Splitting Design for Secure MISO Cognitive Radio With SWIPT
F Zhou, Z Li, J Cheng, Q Li, J Si
IEEE Transactions on Wireless Communications 16 (4), 2450 - 2464, 2017
2052017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
Q Li, Y Zhou, Y Liang, PK Varshney
The 34th International Conference on Machine Learning (ICML 2017), 2017
742017
A Novel Sequential Spectrum Sensing Method in Cognitive Radio Using Suprathreshold Stochastic Resonance
Q Li, Z Li
IEEE Transactions on Vehicular Technology 63 (4), 1717-1725, 2014
512014
A novel sequential spectrum sensing method in cognitive radio using suprathreshold stochastic resonance
Q Li, Z Li, J Si, R Gao
2013 IEEE Global Communications Conference (GLOBECOM), 1143-1148, 2013
512013
A novel spectrum sensing method in cognitive radio based on suprathreshold stochastic resonance
Q Li, Z Li, J Shen, R Gao
2012 IEEE International Conference on Communications (ICC), 4426-4430, 2012
262012
K-medoids Clustering of Data Sequences with Composite Distributions
T Wang, Q Li, DJ Bucci, Y Liang, B Chen, PK Varshney
IEEE Transactions on Signal Processing 67 (8), 2093-2106, 2019
242019
Multi-object Classification via Crowdsourcing with a Reject Option
Q Li, A Vempaty, LR Varshney, PK Varshney
IEEE Transactions on Signal Processing 65 (4), 1068-1081, 2017
202017
Resource Allocation and Outage Analysis for An Adaptive Cognitive Two-Way Relay Network
Q Li, PK Varshney
IEEE Transactions on Wireless Communications 16 (7), 4727-4737, 2017
202017
Robust decentralized learning using ADMM with unreliable agents
Q Li, B Kailkhura, R Goldhahn, P Ray, PK Varshney
IEEE Transactions on Signal Processing, 2022
132022
Decision Tree Design for Classification in Crowdsourcing Systems
B Geng, Q Li, PK Varshney
2018 Asilomar Conference on Signals, Systems, and Computers, 2018
112018
Does Confidence Reporting from the Crowd Benefit Crowdsourcing Performance?
Q Li, PK Varshney
SocialSens 2017, 2017
102017
Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models
Q Li, B Kailkhura, JJ Thiagarajan, Z Zhang, PK Varshney
Journal of Machine Learning Research 55, 27-37, 2016
102016
Prospect theory based crowdsourcing for classification in the presence of spammers
B Geng, Q Li, PK Varshney
IEEE Transactions on Signal Processing 68, 4083-4093, 2020
82020
Quickest change detection in anonymous heterogeneous sensor networks
Z Sun, S Zou, R Zhang, Q Li
IEEE Transactions on Signal Processing 70, 1041-1055, 2022
62022
MR-GAN: Manifold Regularized Generative Adversarial Networks
Q Li, B Kailkhura, R Anirudh, Y Zhou, Y Liang, PK Varshney
arxiv.org/pdf/1811.10427.pdf, 2018
62018
Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers
Q Li, PK Varshney
ICASSP 2018, 2018
62018
Robust federated learning using admm in the presence of data falsifying byzantines
Q Li, B Kailkhura, R Goldhahn, P Ray, PK Varshney
arXiv preprint arXiv:1710.05241, 2017
62017
A Spectrum Sensing Method and Performance Analysis Based on Stochastic Resonance Under Low SNR
R Gao, L Zan, L Wu, Q Li, P Qi
Acta Electronica Sinica 41 (9), 1672--1679, 2013
52013
On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning
S Bulusu, Q Li, PK Varshney
GlobalSIP 2019, 2019
32019
Escaping saddle points in nonconvex minimax optimization via cubic-regularized gradient descent-ascent
Z Chen, Q Li, Y Zhou
arXiv preprint arXiv:2110.07098, 2021
22021
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