| Output reachable set estimation and verification for multilayer neural networks W Xiang, HD Tran, TT Johnson IEEE transactions on neural networks and learning systems, 1-7, 2018 | 363 | 2018 |
| NNV: A Tool for the Verification of Deep Neural Networks and Learning-enabled Cyber-Physical Systems Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez, Patrick Musau, Luan ... International Conference on Computer Aided Verification, 2020 | 316* | 2020 |
| Star-Based Reachability Analysis of Deep Neural Networks HD Tran, DM Lopez, P Musau, X Yang, LV Nguyen, W Xiang, TT Johnson International Symposium on Formal Methods, 670-686, 2019 | 213 | 2019 |
| Verification of Deep Convolutional Neural Networks Using ImageStars HD Tran, S Bak, W Xiang, TT Johnson International Conference on Computer Aided Verification, 18-42, 2020 | 151 | 2020 |
| Improved geometric path enumeration for verifying relu neural networks S Bak, HD Tran, K Hobbs, TT Johnson Computer Aided Verification: 32nd International Conference, CAV 2020, Los …, 2020 | 147 | 2020 |
| Safety Verification of Cyber-Physical Systems with Reinforcement Learning Control HD Tran, F Cai, ML Diego, P Musau, TT Johnson, X Koutsoukos ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-22, 2019 | 147 | 2019 |
| Reachable set computation and safety verification for neural networks with ReLU activations W Xiang, HD Tran, TT Johnson arXiv preprint arXiv:1712.08163, 2017 | 133 | 2017 |
| Reachable set estimation for neural network control systems: A simulation-guided approach W Xiang, HD Tran, X Yang, TT Johnson IEEE Transactions on Neural Networks and Learning Systems 32 (5), 1821-1830, 2020 | 91 | 2020 |
| Reachable set estimation and safety verification for piecewise linear systems with neural network controllers W Xiang, HD Tran, JA Rosenfeld, TT Johnson 2018 Annual American Control Conference (ACC), 1574-1579, 2018 | 80 | 2018 |
| Output reachable set estimation for switched linear systems and its application in safety verification W Xiang, HD Tran, TT Johnson IEEE Transactions on Automatic Control 62 (10), 5380-5387, 2017 | 78 | 2017 |
| Robust exponential stability and disturbance attenuation for discrete-time switched systems under arbitrary switching W Xiang, HD Tran, TT Johnson IEEE Transactions on Automatic Control 63 (5), 1450-1456, 2017 | 67 | 2017 |
| Parallelizable reachability analysis algorithms for feed-forward neural networks HD Tran, P Musau, DM Lopez, X Yang, LV Nguyen, W Xiang, TT Johnson 2019 IEEE/ACM 7th International Conference on Formal Methods in Software …, 2019 | 62 | 2019 |
| Numerical verification of affine systems with up to a billion dimensions S Bak, HD Tran, TT Johnson Proceedings of the 22nd ACM International Conference on Hybrid Systems …, 2019 | 57 | 2019 |
| Robustness verification of semantic segmentation neural networks using relaxed reachability HD Tran, N Pal, P Musau, DM Lopez, N Hamilton, X Yang, S Bak, ... Computer Aided Verification: 33rd International Conference, CAV 2021 …, 2021 | 45 | 2021 |
| Virtual prototyping for distributed control of a fault-tolerant modular multilevel inverter for photovoltaics LV Nguyen, HD Tran, TT Johnson IEEE Transactions on Energy Conversion 29 (4), 841-850, 2014 | 44 | 2014 |
| A normalized PID controller in networked control systems with varying time delays HD Tran, ZH Guan, XK Dang, XM Cheng, FS Yuan ISA transactions 52 (5), 592-599, 2013 | 40 | 2013 |
| NNV 2.0: The Neural Network Verification Tool DM Lopez, SW Choi, HD Tran, TT Johnson International Conference on Computer Aided Verification, 397-412, 2023 | 36 | 2023 |
| Neural network repair with reachability analysis X Yang, T Yamaguchi, HD Tran, B Hoxha, TT Johnson, D Prokhorov International Conference on Formal Modeling and Analysis of Timed Systems …, 2022 | 36 | 2022 |
| ARCH-COMP20 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants TT Johnson, D Manzanas Lopez, P Musau, HD Tran, E Botoeva, ... EPiC Series in Computing 74, 2020 | 36 | 2020 |
| Verification approaches for learning-enabled autonomous cyber–physical systems HD Tran, W Xiang, TT Johnson IEEE Design & Test 39 (1), 24-34, 2020 | 33 | 2020 |
Taylor T JohnsonAssociate Professor, Computer Science, Vanderbilt UniversityVerified email at vanderbilt.edu