| Resampling Methods for Particle Filtering: Classification, implementation, and strategies T Li, M Bolic, PM Djuric IEEE Signal Processing Magazine 32 (3), 70-86, 2015 | 757 | 2015 |
| Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches T Li, S Sun, TP Sattar, JM Corchado Expert Systems with Applications 41 (8), 3944-3954, 2014 | 328 | 2014 |
| A survey of recent advances in particle filters and remaining challenges for multitarget tracking X Wang, T Li, S Sun, JM Corchado Sensors 17 (12), 2707, 2017 | 190 | 2017 |
| Deterministic resampling: unbiased sampling to avoid sample impoverishment in particle filters T Li, TP Sattar, S Sun Signal Processing 92 (7), 1637-1645, 2012 | 188 | 2012 |
| Second-Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion: Application to Multi-sensor Target Tracking T Li, H Fan, J García, JM Corchado Information Fusion 51, 233-243, 2019 | 170 | 2019 |
| A particle dyeing approach for track continuity for the SMC-PHD filter T Li, S Sun, JM Corchado, MF Siyau 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 166 | 2014 |
| Partial consensus and conservative fusion of Gaussian mixtures for distributed PHD fusion T Li, JM Corchado, S Sun IEEE Transactions on Aerospace and Electronic Systems 55 (5), 2150-2163, 2019 | 158 | 2019 |
| Algorithm design for parallel implementation of the SMC-PHD filter T Li, S Sun, M Bolić, JM Corchado Signal Processing 119, 115-127, 2016 | 157 | 2016 |
| On Arithmetic Average Fusion and Its Application for Distributed Multi-Bernoulli Multitarget Tracking T Li, X Wang, Y Liang, Q Pan IEEE Transactions on Signal Processing 68 (1), 2883-2896, 2020 | 130 | 2020 |
| Joint Smoothing and Tracking Based on Continuous-Time Target Trajectory Function Fitting T Li, H Chen, S Sun, JM Corchado IEEE Transactions on Automation Science and Engineering 16 (3), 1476-1483, 2019 | 121 | 2019 |
| Random finite set-based Bayesian filters using magnitude-adaptive target birth intensity T Li, S Sun, JM Corchado, MF Siyau 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 112 | 2014 |
| Adapting sample size in particle filters through KLD-resampling T Li, S Sun, TP Sattar Electronics Letters 49 (12), 740 – 742, 2013 | 100 | 2013 |
| Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond T Li, J Su, W Liu, JM Corchado Frontiers of Information Technology & Electronic Engineering 18 (12), 1913-1939, 2017 | 97 | 2017 |
| A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters T Li, F Hlawatsch Information Fusion 73, 111-124, 2021 | 93 | 2021 |
| Resampling methods for particle filtering: identical distribution, a new method and comparable study T Li, G Villarrubia, S Sun, JM Corchado, B Javier Frontiers of Information Technology & Electronic Engineering 16 (11), 969-984, 2015 | 89 | 2015 |
| Recent advances in multisensor multitarget tracking using random finite set K Da, T Li, Y Zhu, H Fan, Q Fu Frontiers of Information Technology & Electronic Engineering 22 (1), 5-24, 2021 | 79 | 2021 |
| Particle Filtering: Theory, Approach, and Application for Multitarget Tracking T Li, S Sun, H Fan Acta Automatica Sinica 41 (12), 1981-2002, 2015 | 79* | 2015 |
| Kullback-Leibler averaging for multitarget density fusion K Da, T Li, Y Zhu, H Fan, Q Fu Distributed Computing and Artificial Intelligence, 16th International …, 2020 | 72 | 2020 |
| Effectiveness of Bayesian filters: An information fusion perspective T Li, JM Corchado, J Bajo, S Sun, JFD Paz Information Sciences 329, 670-689, 2016 | 72 | 2016 |
| Local Diffusion based Distributed SMC-PHD Filtering Using Sensors with Limited Sensing Range T Li, V Elvira, H Fan, JM Corchado IEEE Sensors Journal 19 (4), 1580 - 1589, 2019 | 70 | 2019 |
Hongqi FanProfessor, IEEE senior memberVerified email at tsinghua.org.cn
