| Finding critical scenarios for automated driving systems: A systematic mapping study X Zhang, J Tao, K Tan, M Törngren, JMG Sanchez, MR Ramli, X Tao, ... IEEE Transactions on Software Engineering 49 (3), 991-1026, 2022 | 93* | 2022 |
| Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning Q Ji, S Fu, K Tan, ST Muralidharan, K Lagrelius, D Danelia, ... Robotics and Computer-Integrated Manufacturing 78, 102382, 2022 | 22 | 2022 |
| A contactless measuring method of skin temperature based on the skin sensitivity index and deep learning X Cheng, B Yang, K Tan, E Isaksson, L Li, A Hedman, T Olofsson, H Li Applied Sciences 9 (7), 1375, 2019 | 21 | 2019 |
| Critical scenario identification for realistic testing of autonomous driving systems Q Song, K Tan, P Runeson, S Persson Software Quality Journal 31 (2), 441-469, 2023 | 17 | 2023 |
| Edge computing for cyber-physical systems: A systematic mapping study emphasizing trustworthiness JMG Sánchez, N Jörgensen, M Törngren, R Inam, A Berezovskyi, L Feng, ... ACM Transactions on Cyber-Physical Systems (TCPS) 6 (3), 1-28, 2022 | 17 | 2022 |
| An industrial workbench for test scenario identification for autonomous driving software Q Song, K Tan, P Runeson, S Persson 2021 IEEE International Conference on Artificial Intelligence Testing …, 2021 | 8 | 2021 |
| Decentralized convex optimization for joint task offloading and resource allocation of vehicular edge computing systems K Tan, L Feng, G Dán, M Törngren IEEE Transactions on Vehicular Technology 71 (12), 13226-13241, 2022 | 7 | 2022 |
| Shape estimation of a 3D printed soft sensor using multi-hypothesis extended Kalman filter K Tan, Q Ji, L Feng, M Törngren IEEE Robotics and Automation Letters 7 (3), 8383-8390, 2022 | 6 | 2022 |
| A model-based deep reinforcement learning approach to the nonblocking coordination of modular supervisors of discrete event systems J Yang, K Tan, L Feng, Z Li Information Sciences 630, 305-321, 2023 | 5 | 2023 |
| Edge-enabled adaptive shape estimation of 3d printed soft actuators with gaussian processes and unscented kalman filters K Tan, Q Ji, L Feng, M Törngren IEEE Transactions on Industrial Electronics, 2023 | 2 | 2023 |
| A Low-Complexity and High-Performance Energy Management Strategy of a Hybrid Electric Vehicle by Model Approximation T Liu, W Zhu, K Tan, M Liu, L Feng 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 2 | 2022 |
| Finding critical scenarios for automated driving systems: The data extraction form X Zhang, J Tao, K Tan, M Törngren, JM Gaspar Sánchez, MR Ramli, T Xin, ... | 2 | 2021 |
| Building verification database and extracting critical scenarios for self-driving car testing on virtual platform K Tan | 2 | 2019 |
| Reducing the learning time of reinforcement learning for the supervisory control of discrete event systems J Yang, K Tan, L Feng, AM El-Sherbeeny, Z Li IEEE Access, 2023 | 1 | 2023 |
| Computationally Efficient Energy Management for a Parallel Hybrid Electric Vehicle Using Adaptive Dynamic Programming T Liu, K Tan, W Zhu, L Feng IEEE Transactions on Intelligent Vehicles, 2023 | 1 | 2023 |
| Collaborative Collision Avoidance of Connected Vehicles Using ADMM with PI-Regulated Lagrangian Multipliers K Tan, L Feng, M Törngren 2023 IEEE 19th International Conference on Automation Science and …, 2023 | | 2023 |
| Optimal and Adaptive Engine Switch Control for a Parallel Hybrid Electric Vehicle Using a Computationally Efficient Actor-Critic Method T Liu, K Tan, W Zhu, L Feng 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2023 | | 2023 |
