| Reducing Indoor Levels of “Outdoor PM2.5” in Urban China: Impact on Mortalities J Xiang, CJ Weschler, Q Wang, L Zhang, J Mo, R Ma, J Zhang, Y Zhang Environmental science & technology 53 (6), 3119-3127, 2019 | 91 | 2019 |
| Breathing-rate adjusted population exposure to ozone and its oxidation products in 333 cities in China M Yao, CJ Weschler, B Zhao, L Zhang, R Ma Environment international 138, 105617, 2020 | 34 | 2020 |
| 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 | 20 | 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 | 16 | 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 |
| Guiding the data learning process with physical model in air pollution inference R Ma, X Xu, Y Wang, HY Noh, P Zhang, L Zhang 2018 IEEE International Conference on Big Data (Big Data), 4475-4483, 2018 | 10 | 2018 |
| Generative model based fine-grained air pollution inference for mobile sensing systems R Ma, X Xu, HY Noh, P Zhang, L Zhang Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems …, 2018 | 10 | 2018 |
| RCH: Robust calibration based on historical data for low-cost air quality sensor deployments G Li, R Ma, X Liu, Y Wang, L Zhang Adjunct Proceedings of the 2020 ACM International Joint Conference on …, 2020 | 8 | 2020 |
| 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 | 6 | 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 |
| 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 |
| PiMi: two-month indoor/outdoor PM2.5 concentrations along with behavior labels through large-scale participatory sensing R Ma, L Zhang Proceedings of the First Workshop on Data Acquisition to Analysis, 1-2, 2018 | 1 | 2018 |
| Finding What Users Look for by Attribute-Aware Personalized Item Comparison in Relevant Recommendation R Ma, D Sun, J Xu, J Yuan, J Zhang Companion Proceedings of the ACM on Web Conference 2024, 549-552, 2024 | | 2024 |
| 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 |
| Tightening Standards for Indoor Levels of PM2. 5: A Promising Approach for Reducing PM2. 5 Associated Mortalities in Urban China J Xiang, CJ Weschler, Q Wang, L Zhang, J Mo, R Ma, J Zhang, Y Zhang ISEE Conference Abstracts 2018 (1), 2018 | | 2018 |
Ning LiuElectronic Engineering, Tsinghua University, China在 mails.tsinghua.edu.cn 的电子邮件经过验证
