| Human motion prediction using semi-adaptable neural networks W Zhao*, Y Cheng*, C Liu, M Tomizuka 2019 American Control Conference (ACC), 4884-4890, 2019 | 78* | 2019 |
| Model-free safe control for zero-violation reinforcement learning W Zhao, T He, C Liu 5th Annual Conference on Robot Learning, 2021 | 72 | 2021 |
| State-wise Safe Reinforcement Learning: A Survey W Zhao, T He, R Chen, T Wei, C Liu IJCAI 2023, 2023 | 43 | 2023 |
| Safety Index Synthesis via Sum-of-Squares Programming W Zhao, T He, T Wei, S Liu, C Liu American Control Conference 2023, 2022 | 26 | 2022 |
| Persistently feasible robust safe control by safety index synthesis and convex semi-infinite programming T Wei, S Kang, W Zhao, C Liu IEEE Control Systems Letters 7, 1213-1218, 2022 | 22 | 2022 |
| Contact-rich trajectory generation in confined environments using iterative convex optimization W Zhao, S He, C Wen, C Liu Dynamic Systems and Control Conference 84287, V002T31A002, 2020 | 19 | 2020 |
| Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models W Zhao, T He, C Liu L4DC 2023, 2022 | 18 | 2022 |
| A hierarchical long short term safety framework for efficient robot manipulation under uncertainty W Zhao*, S He*, C Hu, Y Zhu, C Liu Robotics and Computer-Integrated Manufacturing 82, 102522, 2023 | 17 | 2023 |
| Stochastic variance reduction for deep Q-learning W Zhao, XY Guan, Y Liu, X Zhao, J Peng AAMAS 2019, 2019 | 16 | 2019 |
| Provably safe tolerance estimation for robot arms via sum-of-squares programming W Zhao, S He, C Liu IEEE Control Systems Letters 6, 3439-3444, 2022 | 13 | 2022 |
| AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning T He, W Zhao, C Liu AAAI 2023, 2023 | 12 | 2023 |
| Guard: A safe reinforcement learning benchmark W Zhao, Y Sun, F Li, R Chen, R Liu, T Wei, C Liu Transactions on Machine Learning Research, 2024 | 11 | 2024 |
| Safe adaptation with multiplicative uncertainties using robust safe set algorithm C Noren, W Zhao, C Liu IFAC-PapersOnLine 54 (20), 360-365, 2021 | 11 | 2021 |
| Experimental evaluation of human motion prediction toward safe and efficient human robot collaboration W Zhao, L Sun, C Liu, M Tomizuka 2020 American Control Conference (ACC), 4349-4354, 2020 | 11 | 2020 |
| Data encoding visualization based cognitive emotion recognition with AC-GAN applied for denoising JL Qiu, W Zhao 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive …, 2018 | 11 | 2018 |
| State-wise Constrained Policy Optimization W Zhao, R Chen, Y Sun, F Li, T Wei, C Liu Transactions on Machine Learning Research, 2024 | 8 | 2024 |
| Approximation gradient error variance reduced optimization W Zhao, Y Liu, X Zhao, J Qiu, J Peng Workshop on Reinforcement Learning in Games (RLG) at The Thirty-Third AAAI …, 2019 | 5 | 2019 |
| Generating Multimodal Features for Emotion Classification from Eye Movement Signals. H Jiang, X Guan, WY Zhao, LM Zhao, BL Lu Aust. J. Intell. Inf. Process. Syst. 15 (3), 59-66, 2019 | 5 | 2019 |
| Hybrid Task Constrained Incremental Planner for Robot Manipulators in Confined Environments Y Sun, W Zhao, C Liu 2024 American Control Conference (ACC), 3847-3852, 2024 | 4* | 2024 |
| Learning predictive safety filter via decomposition of robust invariant set Z Li, C Hu, W Zhao, C Liu arXiv preprint arXiv:2311.06769, 2023 | 4 | 2023 |
Changliu LiuAssistant Professor, Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
