| 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 | 232 | 2017 |
| 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 | 85 | 2017 |
| 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 | 57 | 2014 |
| 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 | 57 | 2013 |
| 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 | 33 | 2019 |
| 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 | 27 | 2012 |
| 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 | 22 | 2017 |
| 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 | 21 | 2017 |
| Robust decentralized learning using ADMM with unreliable agents Q Li, B Kailkhura, R Goldhahn, P Ray, PK Varshney IEEE Transactions on Signal Processing, 2022 | 19 | 2022 |
| 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 | 15 | 2020 |
| Decision Tree Design for Classification in Crowdsourcing Systems B Geng, Q Li, PK Varshney 2018 Asilomar Conference on Signals, Systems, and Computers, 2018 | 14 | 2018 |
| Does Confidence Reporting from the Crowd Benefit Crowdsourcing Performance? Q Li, PK Varshney SocialSens 2017, 2017 | 13 | 2017 |
| 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 | 11* | 2023 |
| 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 | 11* | 2021 |
| 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 | 11 | 2017 |
| 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 | 11 | 2016 |
| 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 | 10 | 2022 |
| 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 | 8 | 2021 |
| Human decision making with bounded rationality B Geng, Q Li, PK Varshney ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
| Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers Q Li, PK Varshney ICASSP 2018, 2018 | 6 | 2018 |
Pramod VarshneyDistinguished Professor of EECS, Syracuse UniversityVerified email at syr.edu
