| A survey of technologies for building trusted networks L Parthipan, L Chen, D Gérault, Y Li, F Liu, CJP Newton, D Wang 2021 IEEE Globecom Workshops (GC Wkshps), 1-6, 2021 | 1 | 2021 |
| An overview of differentiable particle filters for data-adaptive sequential Bayesian inference X Chen, Y Li Foundations of Data Science, 2023 | 7 | 2023 |
| Augmented sliced Wasserstein distances X Chen, Y Yang, Y Li International Conference on Learning Representations (ICLR), 2022 | 21 | 2022 |
| Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection X Chen, Y Li, Y Yang IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2023 | 2 | 2023 |
| BCCNet: Bayesian classifier combination neural network O Isupova, Y Li, D Kuzin, SJ Roberts, K Willis, S Reece arXiv preprint arXiv:1811.12258, 2018 | 9 | 2018 |
| Bioacoustic detection with wavelet-conditioned convolutional neural networks I Kiskin, D Zilli, Y Li, M Sinka, K Willis, S Roberts Neural Computing and Applications 32, 915-927, 2020 | 72 | 2020 |
| Comparison of microwave breast cancer detection results with breast phantom data and clinical trial data: Varying the number of antennas Y Li, A Santorelli, M Coates 2016 10th European Conference on Antennas and Propagation (EuCAP), 1-5, 2016 | 10 | 2016 |
| Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow X Chen, Y Li European Signal Processing Conference (EUSIPCO), 2022 | 5 | 2022 |
| Cost-sensitive detection with variational autoencoders for environmental acoustic sensing Y Li, I Kiskin, D Zilli, M Sinka, H Chan, K Willis, S Roberts arXiv preprint arXiv:1712.02488, 2017 | 4 | 2017 |
| Cost-sensitive ensemble classifiers for microwave breast cancer detection Y Li, A Santorelli, O Laforest, M Coates 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 23 | 2015 |
| Differentiable Bootstrap Particle Filters for Regime-Switching Models W Li, X Chen, W Wang, V Elvira, Y Li IEEE Statistical Signal Processing (SSP) Workshop, 2023 | 5 | 2023 |
| Differentiable particle filters through conditional normalizing flow X Chen, H Wen, Y Li 2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-6, 2021 | 17 | 2021 |
| DRoT: A Decentralised Root of Trust for Trusted Networks L Parthipan, L Chen, CJP Newton, Y Li, F Liu, D Wang International Conference on Information and Communications Security, 683-701, 2023 | | 2023 |
| End-to-end semi-supervised learning for differentiable particle filters H Wen, X Chen, G Papagiannis, C Hu, Y Li 2021 IEEE International Conference on Robotics and Automation (ICRA), 5825-5831, 2021 | 19 | 2021 |
| Fast mosquito acoustic detection with field cup recordings: an initial investigation Y Li, I Kiskin, M Sinka, D Zilli, H Chan, E Herreros-Moya, ... Workshop on Detection and Classification of Acoustic Scenes and Events …, 2018 | 9 | 2018 |
| Fast Particle Flow Particle Filters via Clustering Y Li, M Coates Information Fusion (FUSION), 2016 19th International Conference on, 2016 | 11 | 2016 |
| Gaussian particle flow implementation of PHD filter L Zhao, J Wang, Y Li, MJ Coates Signal Processing, Sensor/Information Fusion, and Target Recognition XXV …, 2016 | 11 | 2016 |
| HumBug–an acoustic mosquito monitoring tool for use on budget smartphones ME Sinka, D Zilli, Y Li, I Kiskin, D Msaky, J Kihonda, G Mkandawile, ... Methods in ecology and evolution 12 (10), 1848-1859, 2021 | 21 | 2021 |
| HumBugDB: a large-scale acoustic mosquito dataset I Kiskin, M Sinka, AD Cobb, W Rafique, L Wang, D Zilli, B Gutteridge, ... Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks, 2021 | 22 | 2021 |
| Imaging-based classification algorithms on clinical trial data with injected tumour responses Y Li, E Porter, M Coates 2015 9th European Conference on Antennas and Propagation (EuCAP), 1-5, 2015 | 11 | 2015 |
Mark CoatesProfessor of Electrical Engineering, McGill University在 ece.mcgill.ca 的电子邮件经过验证
