| Regime Learning for Differentiable Particle Filters JJ Brady, Y Luo, W Wang, V Elvira, Y Li International Conference on Information Fusion, 2024 | | 2024 |
| Revisiting semi-supervised training objectives for differentiable particle filters J Li, JJ Brady, X Chen, Y Li IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024 | | 2024 |
| Normalising Flow-based Differentiable Particle Filters X Chen, Y Li arXiv preprint arXiv:2403.01499, 2024 | 1 | 2024 |
| An overview of differentiable particle filters for data-adaptive sequential Bayesian inference X Chen, Y Li Foundations of Data Science, 2023 | 7 | 2023 |
| Learning Differentiable Particle Filter on the Fly J Li, X Chen, Y Li Asilomar Conference on Signals, Systems and Computers, 2023 | 1 | 2023 |
| 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 |
| Particle Flow Gaussian Sum Particle Filter K Comandur, Y Li, S Nannuru IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2023 | 1 | 2023 |
| 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 |
| 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 |
| Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow X Chen, Y Li European Signal Processing Conference (EUSIPCO), 2022 | 5 | 2022 |
| Imitation learning with sinkhorn distances G Papagiannis, Y Li European Conference on Machine Learning and Principles and Practice of …, 2022 | 20 | 2022 |
| Particle Flow Gaussian Particle Filter K Comandur, Y Li, S Nannuru International Conference on Information Fusion (FUSION), 2022 | 2 | 2022 |
| Augmented sliced Wasserstein distances X Chen, Y Yang, Y Li International Conference on Learning Representations (ICLR), 2022 | 21 | 2022 |
| Towards unsupervised sketch-based image retrieval C Hu, Y Yang, Y Li, TM Hospedales, YZ Song British Machine Vision Conference (BMVC), 2022 | 6 | 2022 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Index tracking with differentiable asset selection Y Zheng, Y Li, Q Xu, T Hospedales, Y Yang Proceedings of the First ACM International Conference on AI in Finance, 1-8, 2020 | | 2020 |
Mark CoatesProfessor of Electrical Engineering, McGill University在 ece.mcgill.ca 的电子邮件经过验证
