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Qunwei Li
Qunwei Li
Ant Group
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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
2382017
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
902017
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
562014
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
562013
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
392019
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
282012
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
222017
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
222017
Robust decentralized learning using ADMM with unreliable agents
Q Li, B Kailkhura, R Goldhahn, P Ray, PK Varshney
IEEE Transactions on Signal Processing 70, 2743-2757, 2022
202022
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
172020
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data
Q Li, B Kailkhura, R Anirudh, J Zhang, Y Zhou, Y Liang, TYJ Han, ...
SIAM Journal on Mathematics of Data Science 3 (4), 1197-1222, 2021
14*2021
A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization
Z Chen, Z Hu, Q Li, Z Wang, Y Zhou
Transactions on Machine Learning Research, 2023
13*2023
Decision Tree Design for Classification in Crowdsourcing Systems
B Geng, Q Li, PK Varshney
2018 Asilomar Conference on Signals, Systems, and Computers, 2018
132018
Does Confidence Reporting from the Crowd Benefit Crowdsourcing Performance?
Q Li, PK Varshney
SocialSens 2017, 2017
132017
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
122022
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
122017
Learning dynamic user interest sequence in knowledge graphs for click-through rate prediction
Y Li, X Guo, W Lin, M Zhong, Q Li, Z Liu, W Zhong, Z Zhu
IEEE Transactions on Knowledge and Data Engineering 35 (1), 647-657, 2021
112021
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
112016
Human decision making with bounded rationality
B Geng, Q Li, PK Varshney
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
82022
Denoising Time Cycle Modeling for Recommendation
S Xie, Q Li, W Xu, K Shen, S Chen, W Zhong
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
62022
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