| Modeling, analysis and control of networked evolutionary games D Cheng, F He, H Qi, T Xu IEEE Transactions on Automatic Control 60 (9), 2402-2415, 2015 | 347 | 2015 |
| Evolutionarily stable strategy of networked evolutionary games D Cheng, T Xu, H Qi IEEE Transactions on Neural Networks and Learning Systems 25 (7), 1335-1345, 2013 | 100 | 2013 |
| Predicting chronic disease hospitalizations from electronic health records: an interpretable classification approach TS Brisimi, T Xu, T Wang, W Dai, WG Adams, IC Paschalidis Proceedings of the IEEE 106 (4), 690-707, 2018 | 98 | 2018 |
| Receding horizon based feedback optimization for mix-valued logical networks D Cheng, Y Zhao, T Xu IEEE Transactions on Automatic Control 60 (12), 3362-3366, 2015 | 61 | 2015 |
| Early prediction of level-of-care requirements in patients with COVID-19 B Hao, S Sotudian, T Wang, T Xu, Y Hu, A Gaitanidis, K Breen, ... Elife 9, e60519, 2020 | 60 | 2020 |
| Semi-tensor product approach to networked evolutionary games D Cheng, H Qi, F He, T Xu, H Dong Control Theory and Technology 12 (2), 198-214, 2014 | 40 | 2014 |
| Predicting diabetes-related hospitalizations based on electronic health records TS Brisimi, T Xu, T Wang, W Dai, IC Paschalidis Statistical methods in medical research 28 (12), 3667-3682, 2019 | 31 | 2019 |
| Application of STP to cooperative games D Cheng, T Xu 2013 10th IEEE International Conference on Control and Automation (ICCA …, 2013 | 14 | 2013 |
| On dynamics and Nash equilibriums of networked games D Cheng, T Xu, F He, H Qi IEEE/CAA Journal of Automatica Sinica 1 (1), 10-18, 2014 | 13 | 2014 |
| A joint sparse clustering and classification approach with applications to hospitalization prediction T Xu, TS Brisimi, T Wang, W Dai, IC Paschalidis 2016 IEEE 55th conference on decision and control (CDC), 4566-4571, 2016 | 12 | 2016 |
| On networked non-cooperative games—A semi-tensor product approach D Cheng, F He, T Xu 2013 9th Asian Control Conference (ASCC), 1-6, 2013 | 9 | 2013 |
| Informative predictors of pregnancy after first IVF cycle using eIVF practice highway electronic health records T Xu, A de Figueiredo Veiga, KC Hammer, IC Paschalidis, ... Scientific Reports 12 (1), 839, 2022 | 8 | 2022 |
| On networked evolutionary games part 2: Dynamics and control D Cheng, F He, T Xu IFAC Proceedings Volumes 47 (3), 281-286, 2014 | 6 | 2014 |
| Learning models for writing better doctor prescriptions T Xu, IC Paschalidis 2019 18th European Control Conference (ECC), 2454-2459, 2019 | 5 | 2019 |
| Learning parameterized prescription policies and disease progression dynamics using Markov decision processes H Zhu, T Xu, IC Paschalidis 2019 American Control Conference (ACC), 3438-3443, 2019 | 4 | 2019 |
| Learning parametric policies and transition probability models of markov decision processes from data T Xu, H Zhu, IC Paschalidis European journal of control 57, 68-75, 2021 | 3 | 2021 |
| Personalized Email Marketing Strategy: A Reinforcement Learning Approach L Zhang, T Xu, J He, Z Yan, R Brooks International Journal of Economics and Management Engineering 17 (3), 167-174, 2023 | 2 | 2023 |
| Receding horizon-based feedback optimization for mix-valued logical networks: the imperfect information case T Xu, D Cheng Proceedings of the 32nd Chinese Control Conference, 2147-2152, 2013 | 2 | 2013 |
