Changliu Liu
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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
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
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
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
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
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
Speed profile planning in dynamic environments via temporal optimization
C Liu, W Zhan, M Tomizuka
2017 IEEE Intelligent Vehicles Symposium (IV), 154-159, 2017
Algorithmic safety measures for intelligent industrial co-robots
C Liu, M Tomizuka
2016 IEEE International Conference on Robotics and Automation (ICRA), 3095-3102, 2016
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
Control in a safe set: Addressing safety in human-robot interactions
C Liu, M Tomizuka
2014 ASME Dynamic Systems and Control Conference, 2014
Human motion prediction using semi-adaptable neural networks
Y Cheng, W Zhao, C Liu, M Tomizuka
2019 American Control Conference (ACC), 4884-4890, 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
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
Model-free safe control for zero-violation reinforcement learning
W Zhao, T He, C Liu
5th Annual Conference on Robot Learning, 2021
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
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
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
Convex feasible set algorithm for constrained trajectory smoothing
C Liu, CY Lin, Y Wang, M Tomizuka
2017 American Control Conference (ACC), 4177-4182, 2017
Human motion prediction using adaptable recurrent neural networks and inverse kinematics
R Liu, C Liu
IEEE Control Systems Letters 5 (5), 1651-1656, 2020
Enabling safe freeway driving for automated vehicles
C Liu, M Tomizuka
2016 American Control Conference (ACC), 3461-3467, 2016
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