| 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 | 67 | 2019 |
| 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 | 52* | 2020 |
| Adversarial vision challenge W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, M Salathé, ... arXiv preprint arXiv:1808.01976, 2018 | 50 | 2018 |
| 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 | 47 | 2018 |
| 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 | 45* | 2020 |
| 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 | 35 | 2020 |
| 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 | 29* | 2021 |
| 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 | 25 | 2017 |
| Robust building energy load forecasting using physically-based kernel models AK Prakash, S Xu, R Rajagopal, HY Noh Energies 11 (4), 862, 2018 | 24 | 2018 |
| 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 | 23* | 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 | 18 | 2019 |
| 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 | 17 | 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 | 11 | 2019 |
| 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 | 11 | 2017 |
| An indirect traffic monitoring approach using building vibration sensing system S Xu, L Zhang, P Zhang, HY Noh Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD …, 2016 | 9 | 2016 |
| 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 | 8 | 2022 |
| AutoQual: task-oriented structural vibration sensing quality assessment leveraging co-located mobile sensing context Y Zhang, Z Hu, S Xu, S Pan CCF Transactions on Pervasive Computing and Interaction, 2021 | 6 | 2021 |
| ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data. T Yu, S Pan, S Xu, X Chen, M Mirshekari, J Fagert, HY Noh, P Zhang, ... AAAI Workshops, 202-208, 2018 | 6 | 2018 |
| 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, 2022 | 5 | 2022 |
| Vibration-based indoor human sensing quality reinforcement via thompson sampling T Yu, Y Zhang, Z Hu, S Xu, S Pan Proceedings of the First International Workshop on Cyber-Physical-Human …, 2021 | 4 | 2021 |
Hae Young NohAssociate Professor of Civil and Environmental Engineering, Stanford UniversityVerified email at stanford.edu
