| 3DVerifier: efficient robustness verification for 3D point cloud models R Mu, W Ruan, LS Marcolino, Q Ni Machine Learning, 1-28, 2022 | 13 | 2022 |
| A Cubic RBF Neural Network based Auto-regressive Model for Moisture Control of the Starting and Finishing Stages of Cut-Tobacco Rolling Dryer H. Peng, Y. Gu, D. Wang, L. Li, W. Ruan, J. Wei, and Y. Xiao CN Patent CN Patent 103610227 B, 2015 | | 2015 |
| A Gaussian RBF Neutral Network based Auto-Regressive Model for Positioning Control of Magnetic Levitation Ball H Peng, Y Qin, W Ruan, J Gao CN Patent CN Patent 104793645 B, 2017 | | 2017 |
| A modeling and control approach to magnetic levitation system based on state-dependent ARX model Y Qin, H Peng, W Ruan, J Wu, J Gao Journal of Process Control 24 (1), 93-112, 2014 | 101 | 2014 |
| A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability X Huang, D Kroening, W Ruan, J Sharp, Y Sun, E Thamo, M Wu, X Yi Computer Science Review 37, 100270, 2020 | 524 | 2020 |
| AdaCare: Explainable clinical health status representation learning via scale-adaptive feature extraction and recalibration L Ma, J Gao, Y Wang, C Zhang, J Wang, W Ruan, W Tang, X Gao, X Ma AAAI-2020 34 (01), 825-832, 2020 | 104 | 2020 |
| Adversarial detection: Attacking object detection in real time H Wu, S Yunas, S Rowlands, W Ruan, J Wahlström 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | 2 | 2023 |
| Adversarial driving: Attacking end-to-end autonomous driving systems H Wu, W Ruan arXiv preprint arXiv:2103.09151, 2021 | 25* | 2021 |
| Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications W Ruan, X Yi, X Huang CIKM-2021, 4866-4869, 2021 | 18 | 2021 |
| An intelligent stochastic optimization approach for stochastic order allocation problems with high-dimensional order uncertainties Z Zhang, C Guo, W Ruan, W Wang, P Zhou Computers & Industrial Engineering 167, 108008, 2022 | 5 | 2022 |
| Assurance of Machine Learning Lifecycle X Huang, G Jin, W Ruan Machine Learning Safety, 245-256, 2023 | | 2023 |
| AudioGest: enabling fine-grained hand gesture detection by decoding echo signal W Ruan, QZ Sheng, L Yang, T Gu, P Xu, L Shangguan UbiComp-2016, 474-485, 2016 | 152 | 2016 |
| Bridging formal methods and machine learning with global optimisation X Huang, W Ruan, Q Tang, X Zhao ICFEM-2022, 1-19, 2022 | 11 | 2022 |
| CertifyCMARL: Certified policy smoothing for cooperative multi-agent reinforcement learning R Mu, W Ruan, LS Marcolino, G Jin, Q Ni Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15046 …, 2023 | 10 | 2023 |
| Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength L Yao, QZ Sheng, X Li, T Gu, M Tan, X Wang, S Wang, W Ruan IEEE Transactions on Mobile Computing, 2018 | 117 | 2018 |
| ConCare: Personalized clinical feature embedding via capturing the healthcare context L Ma, C Zhang, Y Wang, W Ruan, J Wang, W Tang, X Ma, X Gao, J Gao AAAI-2020 34 (01), 833-840, 2020 | 122 | 2020 |
| Concolic Testing for Deep Neural Networks. arXiv 2018 Y Sun, M Wu, W Ruan, X Huang, M Kwiatkowska, D Kroening arXiv preprint arXiv:1805.00089, 0 | 2 | |
| CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis L Ma, X Ma, J Gao, C Zhang, Z Yu, X Jiao, W Ruan, Y Wang, W Tang, ... arXiv preprint arXiv:2007.08848, 2020 | 4 | 2020 |
| Cubic-RBF-ARX modeling and model-based optimal setting control in head and tail stages of cut tobacco drying process F Zhou, H Peng, W Ruan, D Wang, M Liu, Y Gu, L Li Neural Computing and Applications 30 (4), 1039–1053, 2018 | 30 | 2018 |
| DEAT: Gradient-guided dynamic efficient adversarial training F Wang, Y Zhang, Y Zheng, W Ruan arXiv preprint arXiv:2103.03076, 2021 | 2* | 2021 |
