| Radio-frequency tomography for passive indoor multitarget tracking S Nannuru, Y Li, Y Zeng, M Coates, B Yang IEEE Transactions on Mobile Computing 12 (12), 2322-2333, 2012 | 154 | 2012 |
| Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements X Chen, A Edelstein, Y Li, M Coates, M Rabbat, A Men Proceedings of the 10th ACM/IEEE International Conference on Information …, 2011 | 149 | 2011 |
| Sequential Monte Carlo radio-frequency tomographic tracking Y Li, X Chen, M Coates, B Yang 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 70 | 2011 |
| Particle filtering with invertible particle flow Y Li, M Coates IEEE Transactions on Signal Processing 65 (15), 4102-4116, 2017 | 68 | 2017 |
| 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 | 65 | 2020 |
| Microwave Breast Cancer Detection via Cost-sensitive Ensemble Classifiers: Phantom and Patient Investigation Yunpeng Li, Emily Porter, Adam Santorelli, Milica Popović, Mark Coates Biomedical Signal Processing and Control 31, 366-376, 2017 | 63 | 2017 |
| Multi-target device-free tracking using radio frequency tomography S Nannuru, Y Li, M Coates, B Yang 2011 Seventh International Conference on Intelligent Sensors, Sensor …, 2011 | 43 | 2011 |
| 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 |
| Mosquito detection with low-cost smartphones: data acquisition for malaria research Y Li, D Zilli, H Chan, I Kiskin, M Sinka, S Roberts, K Willis arXiv preprint arXiv:1711.06346, 2017 | 22 | 2017 |
| 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 | 18 | 2021 |
| Particle flow superpositional GLMB filter AA Saucan, Y Li, M Coates Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI …, 2017 | 18 | 2017 |
| Microwave breast cancer detection using time-frequency representations H Song, Y Li, A Men Medical & biological engineering & computing 56, 571-582, 2018 | 17 | 2018 |
| Invertible particle-flow-based sequential MCMC with extension to Gaussian mixture noise models Y Li, S Pal, MJ Coates IEEE Transactions on Signal Processing 67 (9), 2499-2512, 2019 | 16 | 2019 |
| Particle flow for particle filtering Y Li, L Zhao, M Coates 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 16 | 2016 |
| Imitation learning with sinkhorn distances G Papagiannis, Y Li European Conference on Machine Learning and Principles and Practice of …, 2022 | 15 | 2022 |
| Augmented sliced Wasserstein distances X Chen, Y Yang, Y Li International Conference on Learning Representations (ICLR), 2022 | 15 | 2022 |
| 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 | 15 | 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 | 14 | 2021 |
| Investigation of classification algorithms for a prototype microwave breast cancer monitor A Santorelli, Y Li, E Porter, M Popović, M Coates The 8th European Conference on Antennas and Propagation (EuCAP 2014), 320-324, 2014 | 14 | 2014 |
| 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 | 12 | 2021 |
Mark CoatesProfessor of Electrical Engineering, McGill UniversityVerified email at ece.mcgill.ca
