| Robust deep reinforcement learning through adversarial loss T Oikarinen, W Zhang, A Megretski, L Daniel, TW Weng Advances in Neural Information Processing Systems 34, 26156-26167, 2021 | 104 | 2021 |
| Finger-palm synergistic soft gripper for dynamic capture via energy harvesting and dissipation Y Zhang, W Zhang, P Gao, X Zhong, W Pu Nature Communications 13 (1), 7700, 2022 | 28 | 2022 |
| Bioinspired soft robotic fingers with sequential motion based on tendon-driven mechanisms Y Zhang, W Zhang, J Yang, W Pu Soft Robotics 9 (3), 531-541, 2022 | 20 | 2022 |
| Flash temperature and anti-wear tribofilm growth mechanisms by asperity contact in top-ring/liner conjunction of IC engines W Pu, Q Zhang, W Zhang, S Ren, Z Chen, T Tian Tribology International 146, 106186, 2020 | 19 | 2020 |
| Experimental and numerical investigation on H2/CO formation and their effects on combustion characteristics in a natural gas SI engine C Liu, Z Wang, H Song, Y Qi, Y Li, F Li, W Zhang, X He Energy 143, 597-605, 2018 | 13 | 2018 |
| One step closer to unbiased aleatoric uncertainty estimation W Zhang, ZM Ma, S Das, TWL Weng, A Megretski, L Daniel, LM Nguyen Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16857 …, 2024 | 6 | 2024 |
| ConCerNet: a contrastive learning based framework for automated conservation law discovery and trustworthy dynamical system prediction W Zhang, TW Weng, S Das, A Megretski, L Daniel, LM Nguyen International Conference on Machine Learning, 41694-41714, 2023 | 6* | 2023 |
| Modeling internal combustion engine three-piece oil control ring coupling reduced order oil transport based on neural network W Zhang Massachusetts Institute of Technology, 2020 | 6 | 2020 |
| Modeling the Three Piece Oil Control Ring Dynamics and Oil Transport in Internal Combustion Engines W Zhang, S Ahling, T Tian SAE Technical Paper, 2021 | 4 | 2021 |
| Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks A Baez, W Zhang, Z Ma, S Das, LM Nguyen, L Daniel arXiv preprint arXiv:2410.17445, 2024 | 1 | 2024 |
| Neural network-based dynamical system modeling for contrastively learned conservation laws LM Nguyen, W Zhang, S Das, A Megretski, L Daniel US Patent App. 18/225,050, 2025 | | 2025 |
| Multivariable time-series feature extraction LM Nguyen, W Zhang, S Das, A Megretski, L Daniel US Patent App. 18/160,737, 2024 | | 2024 |
| Providing trained reinforcement learning systems LM Nguyen, W Zhang, S Das, A Megretski, L Daniel US Patent App. 18/079,123, 2024 | | 2024 |
| Certification-based robust training by refining decision boundary LM Nguyen, W Zhang, S Das, PY Chen, A Megretski, L Daniel US Patent App. 17/933,473, 2024 | | 2024 |
| Fast Convergence for Unstable Reinforcement Learning Problems by Logarithmic Mapping W Zhang, LM Nguyen, S Das, A Megretski, L Daniel, TW Weng Decision Awareness in Reinforcement Learning Workshop at the 39th …, 2022 | | 2022 |
| On the Fast Convergence of Unstable Reinforcement Learning Problems W Zhang, LM Nguyen, S Das, A Megretski, L Daniel, TW Weng | | |
| Tactics on Refining Decision Boundary for Improving Certification-based Robust Training W Zhang, LM Nguyen, S Das, PY Chen, S Liu, A Megretski, L Daniel, ... | | |
