| Outlier-robust iterative extended kalman filtering Y Tao, SST Yau IEEE Signal Processing Letters, 2023 | 8 | 2023 |
| Graphene quantum dots with improved fluorescence activity via machine learning: Implications for fluorescence monitoring Q Zhang, Y Tao, B Tang, J Yang, H Liang, B Wang, J Wang, X Jiang, L Ji, ... ACS Applied Nano Materials 5 (2), 2728-2737, 2022 | 8 | 2022 |
| Recurrent neural networks are universal approximators with stochastic inputs X Chen, Y Tao, W Xu, SST Yau IEEE Transactions on Neural Networks and Learning Systems, 2022 | 6 | 2022 |
| Size‐controllable Eu‐MOFs through machine learning technology: application for high sensitive ions and small‐molecular identification Q Zhang, H Liang, Y Tao, J Yang, B Tang, R Li, Y Ma, L Ji, X Jiang, S Li Small Methods 6 (6), 2200208, 2022 | 5 | 2022 |
| Optimal transportation particle filter for linear filtering systems with correlated noises J Kang, X Chen, Y Tao, SST Yau IEEE Transactions on Aerospace and Electronic Systems 58 (6), 5190-5203, 2022 | 5 | 2022 |
| Neural projection filter: Learning unknown dynamics driven by noisy observations Y Tao, J Kang, SST Yau IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
| Enhanced aggregation-induced emission activity of metal–organic frameworks by using machine learning technology Q Zhang, Y Tao, B Tang, J Zhou, H Wang, J Wang, Y Gao, J Yang, L Ji, ... ACS Sustainable Chemistry & Engineering 10 (26), 8464-8473, 2022 | 2 | 2022 |
| Maximum Correntropy Ensemble Kalman Filter Y Tao, J Kang, SST Yau 2023 62nd IEEE Conference on Decision and Control (CDC), 8659-8664, 2023 | 1 | 2023 |
| Evolution is All You Need in Promoter Design and Optimization R Ren, H Yu, J Teng, S Mao, Z Bian, Y Tao, SST Yau bioRxiv, 2023.11. 18.567645, 2023 | | 2023 |
| Double Deep Q-Learning in Opponent Modeling Y Tao, J Doe arXiv preprint arXiv:2211.15384, 2022 | | 2022 |
Jiayi KangPhD Candidate, Department of Mathematical Sciences, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
