| Domain adaptation and autoencoder-based unsupervised speech enhancement Y Li, Y Sun, K Horoshenkov, SM Naqvi IEEE Transactions on Artificial Intelligence 3 (1), 43-52, 2021 | 24 | 2021 |
| U-shaped transformer with frequency-band aware attention for speech enhancement Y Li, Y Sun, W Wang, SM Naqvi IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 1511-1521, 2023 | 17 | 2023 |
| Single‐channel dereverberation and denoising based on lower band trained SA‐LSTMs Y Li, Y Sun, S Mohsen Naqvi IET Signal Processing 14 (10), 774-782, 2020 | 9 | 2020 |
| Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection Y Li, P Angelov, N Suri 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 5 | 2023 |
| Rethinking Self-supervised Learning for Cross-domain Adversarial Sample Recovery Y Li, P Angelov, N Suri 2024 International Joint Conference on Neural Networks (IJCNN), 2024 | 3 | 2024 |
| UNICAD: A unified approach for attack detection, noise reduction and novel class identification AL Pellicer, K Giatgong, Y Li, N Suri, P Angelov arXiv preprint arXiv:2406.16501, 2024 | 3 | 2024 |
| PSD and signal approximation-LSTM based speech enhancement Y Li, Y Sun, SM Naqvi 2019 13th International Conference on Signal Processing and Communication …, 2019 | 3 | 2019 |
| Self-supervised learning and multi-task pre-training based single-channel acoustic denoising Y Li, Y Sun, SM Naqvi 2022 IEEE International Conference on Multisensor Fusion and Integration for …, 2022 | 2 | 2022 |
| Monaural source separation based on sequentially trained LSTMs in real room environments Y Li, Y Sun, SM Naqvi 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 2 | 2019 |
| Skeleton-based action analysis for ADHD diagnosis Y Li, Y Li, R Nair, SM Naqvi arXiv preprint arXiv:2304.09751, 2023 | 1 | 2023 |
| Self-Supervised Learning based Monaural Speech Enhancement with Complex-Cycle-Consistent Y Li, Y Sun, SM Naqvi arXiv preprint arXiv:2112.11142, 2021 | 1 | 2021 |
| Self-Supervised Representation Learning for Adversarial Attack Detection Y Li, P Angelov, N Suri European Conference on Computer Vision (ECCV), 2024 | | 2024 |
| Federated Adversarial Learning for Robust Autonomous Landing Runway Detection Y Li, P Angelov, Z Yu, AL Pellicer, N Suri arXiv preprint arXiv:2406.15925, 2024 | | 2024 |
| PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection A Lopez Pellicer, Y Li, P Angelov IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024 | | 2024 |
| Fuzzy Detectors Against Adversarial Attacks Y Li, P Angelov, N Suri IEEE Symposium Series on Computational Intelligence, 2023 | | 2023 |
| Joint Learning with Shared Latent Space for Self-Supervised Monaural Speech Enhancement Y Li, Y Sun, W Wang, SM Naqvi 2023 Sensor Signal Processing for Defence Conference (SSPD), 2023 | | 2023 |
| Feature Learning and Ensemble Pre-Tasks Based Self-Supervised Speech Denoising and Dereverberation Y Li, SL Li, Y Sun, SM Naqvi arXiv preprint arXiv:2206.04962, 2022 | | 2022 |
| Self-Supervised Learning based Monaural Speech Enhancement with Multi-Task Pre-Training Y Li, Y Sun, SM Naqvi arXiv preprint arXiv:2112.11459, 2021 | | 2021 |
| Sequentially Trained DNNs Based Monaural Source Separation in Real Room Environments Y Li, Y Sun, SM Naqvi 2019 Sensor Signal Processing for Defence Conference (SSPD), 1-5, 2019 | | 2019 |
Syed Mohsen NaqviSchool of Engineering, Newcastle University, United Kingdom在 newcastle.ac.uk 的电子邮件经过验证
