| Fingerprint liveness detection using CNN features of random sample patches E Park, W Kim, Q Li, J Kim, H Kim 2016 International Conference of the Biometrics Special Interest Group …, 2016 | 51 | 2016 |
| Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework Q Li, R Heusdens, MG Christensen IEEE Transactions on Signal Processing 68, 5983 - 5996, 2020 | 49 | 2020 |
| Privacy-preserving distributed average consensus based on additive secret sharing Q Li, I Cascudo, MG Christensen 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 41 | 2019 |
| Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms Q Li, JS Gundersen, R Heusdens, MG Christensen IEEE Transactions on Information Forensics and Security, 2021 | 35 | 2021 |
| A privacy-preserving asynchronous averaging algorithm based on shamir’s secret sharing Q Li, MG Christensen 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 28 | 2019 |
| Convex optimisation-based privacy-preserving distributed average consensus in wireless sensor networks Q Li, R Heusdens, MG Christensen ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 23 | 2020 |
| Privacy-preserving distributed graph filtering Q Li, M Coutino, G Leus, MG Christensen 2020 28th European Signal Processing Conference (EUSIPCO), 2155-2159, 2021 | 15 | 2021 |
| Communication efficient privacy-preserving distributed optimization using adaptive differential quantization Q Li, R Heusdens, MG Christensen Signal Processing, 2022 | 12 | 2022 |
| Privacy-preserving distributed expectation maximization for gaussian mixture model using subspace perturbation Q Li, JS Gundersen, K Tjell, R Wisniewski, MG Christensen ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 10 | 2022 |
| Convex optimization-based privacy-preserving distributed least squares via subspace perturbation Q Li, R Heusdens, MG Christensen 2020 28th European Signal Processing Conference (EUSIPCO), 2110-2114, 2021 | 9 | 2021 |
| Fingerprint liveness detection using CNN features of random sample patches: Liveness detection using CNN features E Park, W Kim, Q Li, H Kim, J Kim 15th International Conference of the Biometrics Special Interest Group …, 2016 | 8 | 2016 |
| On the privacy effect of data enhancement via the lens of memorization X Li, Q Li, Z Hu, X Hu IEEE Transactions on Information Forensics and Security, 2024 | 7 | 2024 |
| Adaptive differentially quantized subspace perturbation (ADQSP): A unified framework for privacy-preserving distributed average consensus Q Li, JS Gundersen, M Lopuhaä-Zwakenberg, R Heusdens IEEE Transactions on Information Forensics and Security, 2023 | 7 | 2023 |
| Multi-feature based score fusion method for fingerprint recognition accuracy boosting Q Li, C Jin, W Kim, J Kim, S Li, H Kim 2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016 | 6 | 2016 |
| Multi-feature score fusion for fingerprint recognition based on neighbor minutiae boost Q Li, VH Nguyen, J Liu, H Kim IEIE Transactions on Smart Processing & Computing 6 (6), 387-400, 2017 | 5 | 2017 |
| Fingerprint liveness detection and visualization using convolutional neural networks feature W Kim, Q Li, E Park, J Kim, H Kim Journal of the Korea Institute of Information Security & Cryptology 26 (5 …, 2016 | 4 | 2016 |
| Two for the price of one: communication efficient and privacy-preserving distributed average consensus using quantization Q Li, M Lopuhaä-Zwakenberg, R Heusdens, MG Christensen 2022 30th European Signal Processing Conference (EUSIPCO), 2166-2170, 2022 | 2 | 2022 |
| Fingerprint liveness detection using patch-based convolutional neural networks E Park, W Kim, Q Li, J Kim, H Kim Journal of the Korea Institute of Information Security & Cryptology 27 (1 …, 2017 | 2 | 2017 |
| Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization W Yu, Q Li, M Lopuhaä-Zwakenberg, MG Christensen, R Heusdens arXiv preprint arXiv:2407.09324, 2024 | 1 | 2024 |
| Privacy-Preserving Distributed Optimisation using Stochastic PDMM SO Jordan, Q Li, R Heusdens ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
Mads Græsbøll ChristensenProfessor, Dept. of Electronic Systems, Aalborg UniversityVerified email at es.aau.dk
