| iLOCuS: Incentivizing vehicle mobility to optimize sensing distribution in crowd sensing S Xu, X Chen, X Pi, C Joe-Wong, P Zhang, HY Noh IEEE Transactions on Mobile Computing, 2019 | 115 | 2019 |
| PAS: Prediction-based actuation system for city-scale ridesharing vehicular mobile crowdsensing X Chen, S Xu, J Han, H Fu, X Pi, C Joe-Wong, Y Li, L Zhang, HY Noh, ... IEEE Internet of Things Journal 7 (5), 3719-3734, 2020 | 83 | 2020 |
| ASC: Actuation system for city-wide crowdsensing with ride-sharing vehicular platform X Chen, S Xu, H Fu, C Joe-Wong, L Zhang, HY Noh, P Zhang Proceedings of the Fourth Workshop on International Science of Smart City …, 2019 | 76* | 2019 |
| Medal: Accurate and robust deep active learning for medical image analysis A Smailagic, P Costa, HY Noh, D Walawalkar, K Khandelwal, A Galdran, ... 2018 17th IEEE international conference on machine learning and applications …, 2018 | 73 | 2018 |
| Adversarial vision challenge W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, M Salathé, ... arXiv preprint arXiv:1808.01976, 2018 | 66 | 2018 |
| PhyMDAN: Physics-informed knowledge transfer between buildings for seismic damage diagnosis through adversarial learning S Xu, HY Noh Mechanical Systems and Signal Processing 151, 107374, 2021 | 64 | 2021 |
| Adaptive hybrid model-enabled sensing system (HMSS) for mobile fine-grained air pollution estimation X Chen, S Xu, X Liu, X Xu, HY Noh, L Zhang, P Zhang IEEE Transactions on Mobile Computing 21 (6), 1927-1944, 2020 | 61 | 2020 |
| TCACNet: Temporal and channel attention convolutional network for motor imagery classification of EEG-based BCI X Liu, R Shi, Q Hui, S Xu, S Wang, R Na, Y Sun, W Ding, D Zheng, ... Information Processing & Management 59 (5), 103001, 2022 | 45 | 2022 |
| O‐MedAL: Online active deep learning for medical image analysis A Smailagic, P Costa, A Gaudio, K Khandelwal, M Mirshekari, J Fagert, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (4 …, 2020 | 45 | 2020 |
| Neural network quantization with ai model efficiency toolkit (aimet) S Siddegowda, M Fournarakis, M Nagel, T Blankevoort, C Patel, ... arXiv preprint arXiv:2201.08442, 2022 | 34 | 2022 |
| Medal: Accurate and robust deep active learning for medical image analysis A Smailagic, P Costa, HY Noh, D Walawalkar, K Khandelwal, A Galdran, ... 2018 17th IEEE international conference on machine learning and applications …, 2018 | 32* | 2018 |
| Robust building energy load forecasting using physically-based kernel models AK Prakash, S Xu, R Rajagopal, HY Noh Energies 11 (4), 862, 2018 | 32 | 2018 |
| Vehicle dispatching for sensing coverage optimization in mobile crowdsensing systems S Xu, X Chen, X Pi, C Joe-Wong, P Zhang, HY Noh 2019 18th ACM/IEEE International Conference on Information Processing in …, 2019 | 26 | 2019 |
| Collaboratively adaptive vibration sensing system for high-fidelity monitoring of structural responses induced by pedestrians S Pan, S Xu, M Mirshekari, P Zhang, HY Noh Frontiers in Built Environment 3, 28, 2017 | 26 | 2017 |
| Seismic multi-hazard and impact estimation via causal inference from satellite imagery S Xu, J Dimasaka, DJ Wald, HY Noh Nature Communications 13 (7793), 2022 | 25 | 2022 |
| HierMUD: Hierarchical multi-task unsupervised domain adaptation between bridges for drive-by damage diagnosis J Liu, S Xu, M Bergés, HY Noh Structural Health Monitoring, 2023 | 24 | 2023 |
| Stackelberg GAN: Towards provable minimax equilibrium via multi-generator architectures H Zhang, S Xu, J Jiao, P Xie, R Salakhutdinov, EP Xing arXiv preprint arXiv:1811.08010, 2018 | 21 | 2018 |
| Incentivizing vehicular crowdsensing system for large scale smart city applications S Xu, X Chen, X Pi, C Joe-Wong, P Zhang, HY Noh Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2019 | 15 | 2019 |
| SOScheduler: Toward Proactive and Adaptive Wildfire Suppression via Multi-UAV Collaborative Scheduling X Chen, Z Xiao, Y Cheng, CC Hsia, H Wang, J Xu, S Xu, F Dang, ... IEEE Internet of Things Journal, 2024 | 12 | 2024 |
| An information-theoretic approach for indirect train traffic monitoring using building vibration S Xu, L Zhang, P Zhang, HY Noh Frontiers in Built Environment 3, 22, 2017 | 12 | 2017 |
Hae Young NohAssociate Professor of Civil and Environmental Engineering, Stanford UniversityVerified email at stanford.edu
