A deep autoencoder model for pollution map recovery with mobile sensing networks R Ma, N Liu, X Xu, Y Wang, HY Noh, P Zhang, L Zhang Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 19 | 2019 |
A hybrid air pollution reconstruction by adaptive interpolation method M Wu, J Huang, N Liu, R Ma, Y Wang, L Zhang Proceedings of the 16th ACM conference on embedded networked sensor systems …, 2018 | 17 | 2018 |
Fine-grained air pollution inference with mobile sensing systems: A weather-related deep autoencoder model R Ma, N Liu, X Xu, Y Wang, HY Noh, P Zhang, L Zhang Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 14 | 2020 |
Inferring fine-grained air pollution map via a spatiotemporal super-resolution scheme N Liu, R Ma, Y Wang, L Zhang Adjunct Proceedings of the 2019 ACM international joint conference on …, 2019 | 13 | 2019 |
MAIC: metalearning-based adaptive in-field calibration for IoT air quality monitoring system N Liu, Z Wu, G Li, X Liu, Y Wang, L Zhang IEEE Internet of Things Journal 9 (17), 15928-15941, 2022 | 8 | 2022 |
A Variational Bayesian Blind Calibration Approach for Air Quality Sensor Deployments G Li, Z Wu, N Liu, X Liu, Y Wang, L Zhang IEEE Sensors Journal 23 (7), 7129-7141, 2022 | 5 | 2022 |
Caen: A hierarchically attentive evolution network for item-attribute-change-aware recommendation in the growing e-commerce environment R Ma, N Liu, J Yuan, H Yang, J Zhang Proceedings of the 16th ACM Conference on Recommender Systems, 278-287, 2022 | 5 | 2022 |
Enhancing the data learning with physical knowledge in fine-grained air pollution inference R Ma, N Liu, X Xu, Y Wang, HY Noh, P Zhang, L Zhang IEEE Access 8, 88372-88384, 2020 | 4 | 2020 |
Learning Adaptive Probabilistic Models for Uncertainty-Aware Air Pollution Prediction Z Wu, N Liu, G Li, X Liu, Y Wang, L Zhang IEEE Access 11, 24971-24985, 2023 | 3 | 2023 |
A variational bayesian approach for fast adaptive air pollution prediction Z Wu, N Liu, G Li, X Liu, Y Wang, L Zhang 2021 IEEE International Conference on Big Data (Big Data), 1748-1756, 2021 | 3 | 2021 |
Enhanced Air Quality Inference via Multi-View Learning With Mobile Sensing Memory N Liu, X Liu, PT Lin, Y Wang, L Zhang IEEE Access 10, 36616-36628, 2022 | 2 | 2022 |
Blind calibration by maximizing correlation G Li, Z Wu, N Liu, X Liu, Y Wang, L Zhang Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021 | 2 | 2021 |
Enhanced air quality inference with mobile sensing attention mechanism N Liu, Y Wang, J Huang, R Ma, L Zhang Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 418-419, 2019 | 2 | 2019 |
Meta-Learning-Based Spatial-Temporal Adaption for Coldstart Air Pollution Prediction Z Wu, N Liu, G Li, X Liu, Y Wang, L Zhang International Journal of Intelligent Systems 2023, 2023 | 1 | 2023 |
Mobile user identification across domains based on the stacking method in ensemble learning X Chen, N Liu, J Liu, Y Wang 2021 IEEE 6th International Conference on Computer and Communication Systems …, 2021 | 1 | 2021 |
Understanding air pollution patterns in city based on minute-level event detection J Huang, N Liu, R Ma, X Liu, Y Wang, L Zhang Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 448-449, 2019 | | 2019 |