Multi-agent deep reinforcement learning for large-scale traffic signal control T Chu, J Wang, L Codecą, Z Li IEEE Transactions on Intelligent Transportation Systems 21 (3), 1086-1095, 2019 | 486 | 2019 |
Distributed state estimation of sensor-network systems subject to Markovian channel switching with application to a chemical process X Yin, Z Li, L Zhang, M Han IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (6), 864-874, 2016 | 91 | 2016 |
Robust control of networked systems with variable communication capabilities and application to a semi-active suspension system X Yin, L Zhang, Y Zhu, C Wang, Z Li IEEE/ASME Transactions on Mechatronics 21 (4), 2097-2107, 2016 | 80 | 2016 |
Road risk modeling and cloud-aided safety-based route planning Z Li, I Kolmanovsky, E Atkins, J Lu, DP Filev, J Michelini IEEE transactions on cybernetics 46 (11), 2473-2483, 2015 | 72 | 2015 |
Visual-manual distraction detection using driving performance indicators with naturalistic driving data Z Li, S Bao, IV Kolmanovsky, X Yin IEEE Transactions on Intelligent Transportation Systems 19 (8), 2528-2535, 2017 | 69 | 2017 |
Road disturbance estimation and cloud-aided comfort-based route planning Z Li, IV Kolmanovsky, EM Atkins, J Lu, DP Filev, Y Bai IEEE transactions on cybernetics 47 (11), 3879-3891, 2016 | 66 | 2016 |
Infinite-step opacity and K-step opacity of stochastic discrete-event systems X Yin, Z Li, W Wang, S Li Automatica 99, 266-274, 2019 | 56 | 2019 |
Decentralized fault prognosis of discrete event systems with guaranteed performance bound X Yin, Z Li Automatica 69, 375-379, 2016 | 54 | 2016 |
Reliable decentralized fault prognosis of discrete-event systems X Yin, Z Li IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (11), 1598-1603, 2015 | 48 | 2015 |
Cloud aided semi-active suspension control Z Li, I Kolmanovsky, E Atkins, J Lu, D Filev, J Michelini 2014 IEEE Symposium on Computational Intelligence in Vehicles and …, 2014 | 48 | 2014 |
Safe reinforcement learning: Learning with supervision using a constraint-admissible set Z Li, U Kalabić, T Chu 2018 Annual American Control Conference (ACC), 6390-6395, 2018 | 46 | 2018 |
Robust platoon control in mixed traffic flow based on tube model predictive control S Feng, Z Song, Z Li, Y Zhang, L Li IEEE Transactions on Intelligent Vehicles 6 (4), 711-722, 2021 | 44 | 2021 |
A new clustering algorithm for processing GPS-based road anomaly reports with a mahalanobis distance Z Li, DP Filev, I Kolmanovsky, E Atkins, J Lu IEEE Transactions on Intelligent Transportation Systems 18 (7), 1980-1988, 2016 | 42 | 2016 |
Deep learning-based apple detection using a suppression mask R-CNN P Chu, Z Li, K Lammers, R Lu, X Liu Pattern Recognition Letters 147, 206-211, 2021 | 41 | 2021 |
Decentralized fault prognosis of discrete-event systems using state-estimate-based protocols X Yin, Z Li IEEE transactions on cybernetics 49 (4), 1302-1313, 2018 | 34 | 2018 |
Autonomous driving using safe reinforcement learning by incorporating a regret-based human lane-changing decision model D Chen, L Jiang, Y Wang, Z Li 2020 American Control Conference (ACC), 4355-4361, 2020 | 32 | 2020 |
Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems D Chen, Y Lu, Z Li, S Young Computers and Electronics in Agriculture 198, 107091, 2022 | 30 | 2022 |
Robust fault diagnosis of stochastic discrete event systems X Yin, J Chen, Z Li, S Li IEEE Transactions on Automatic Control 64 (10), 4237-4244, 2019 | 28 | 2019 |
System design and control of an apple harvesting robot K Zhang, K Lammers, P Chu, Z Li, R Lu Mechatronics 79, 102644, 2021 | 27 | 2021 |
Powernet: Multi-agent deep reinforcement learning for scalable powergrid control D Chen, K Chen, Z Li, T Chu, R Yao, F Qiu, K Lin IEEE Transactions on Power Systems 37 (2), 1007-1017, 2021 | 26 | 2021 |