| Algorithms for verifying deep neural networks C Liu, T Arnon, C Lazarus, C Strong, C Barrett, MJ Kochenderfer Foundations and Trends in Optimization 4, 244-404, 2021 | 485 | 2021 |
| Social interactions for autonomous driving: A review and perspectives W Wang, L Wang, C Zhang, C Liu, L Sun Foundations and Trends® in Robotics 10 (3-4), 198-376, 2022 | 145 | 2022 |
| Distributed conflict resolution for connected autonomous vehicles C Liu, CW Lin, S Shiraishi, M Tomizuka IEEE Transactions on Intelligent Vehicles 3 (1), 18-29, 2017 | 136 | 2017 |
| The convex feasible set algorithm for real time optimization in motion planning C Liu, CY Lin, M Tomizuka SIAM Journal on Control and optimization 56 (4), 2712-2733, 2018 | 135 | 2018 |
| The second international verification of neural networks competition (vnn-comp 2021): Summary and results S Bak, C Liu, T Johnson arXiv preprint arXiv:2109.00498, 2021 | 124 | 2021 |
| A non-conservatively defensive strategy for urban autonomous driving W Zhan, C Liu, CY Chan, M Tomizuka 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 121 | 2016 |
| Speed profile planning in dynamic environments via temporal optimization C Liu, W Zhan, M Tomizuka 2017 IEEE Intelligent Vehicles Symposium (IV), 154-159, 2017 | 107* | 2017 |
| Towards efficient human-robot collaboration with robust plan recognition and trajectory prediction Y Cheng, L Sun, C Liu, M Tomizuka IEEE Robotics and Automation Letters 5 (2), 2602-2609, 2020 | 99 | 2020 |
| First three years of the international verification of neural networks competition (VNN-COMP) C Brix, MN Müller, S Bak, TT Johnson, C Liu International Journal on Software Tools for Technology Transfer 25 (3), 329-339, 2023 | 89 | 2023 |
| Control in a safe set: Addressing safety in human-robot interactions C Liu, M Tomizuka 2014 ASME Dynamic Systems and Control Conference, 2014 | 88 | 2014 |
| Algorithmic safety measures for intelligent industrial co-robots C Liu, M Tomizuka 2016 IEEE International Conference on Robotics and Automation (ICRA), 3095-3102, 2016 | 85 | 2016 |
| Model-free safe control for zero-violation reinforcement learning W Zhao, T He, C Liu 5th Annual Conference on Robot Learning, 2021 | 79 | 2021 |
| Human motion prediction using semi-adaptable neural networks Y Cheng, W Zhao, C Liu, M Tomizuka 2019 American Control Conference (ACC), 4884-4890, 2019 | 79* | 2019 |
| Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving W Zhan, J Chen, CY Chan, C Liu, M Tomizuka 2017 IEEE Intelligent Vehicles Symposium (IV), 632-639, 2017 | 79 | 2017 |
| The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results. MN Müller, C Brix, S Bak, C Liu, TT Johnson arXiv preprint arXiv:2212.10376, 2022 | 75 | 2022 |
| Simulating emergent properties of human driving behavior using multi-agent reward augmented imitation learning RP Bhattacharyya, DJ Phillips, C Liu, JK Gupta, K Driggs-Campbell, ... 2019 International Conference on Robotics and Automation (ICRA), 789-795, 2019 | 71 | 2019 |
| Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions T Wei, C Liu 2019 IEEE 58th Conference on Decision and Control (CDC), 238-243, 2019 | 60 | 2019 |
| Convex feasible set algorithm for constrained trajectory smoothing C Liu, CY Lin, Y Wang, M Tomizuka 2017 American Control Conference (ACC), 4177-4182, 2017 | 54 | 2017 |
| State-wise safe reinforcement learning: A survey W Zhao, T He, R Chen, T Wei, C Liu IJCAI, 2023 | 52 | 2023 |
| Safe control under input limits with neural control barrier functions S Liu, C Liu, J Dolan Conference on Robot Learning, 1970-1980, 2022 | 51* | 2022 |
Masayoshi TomizukaMechaniccal Engineering, University of California在 me.berkeley.edu 的电子邮件经过验证