| EV charging behaviour analysis and modelling based on mobile crowdsensing data T Yang, X Xu, Q Guo, L Zhang, H Sun IET Generation, Transmission & Distribution 11 (7), 1683-1691, 2017 | 29 | 2017 |
| Gotcha II: Deployment of a Vehicle-based Environmental Sensing System X Xu, X Chen, X Liu, HY Noh, P Zhang, L Zhang Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD …, 2016 | 15 | 2016 |
| Gotcha: a mobile urban sensing system X Xu, P Zhang, L Zhang Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems …, 2014 | 15 | 2014 |
| An efficient approach to informative feature extraction from multimodal data L Wang, J Wu, SL Huang, L Zheng, X Xu, L Zhang, J Huang Proceedings of the AAAI Conference on Artificial Intelligence 33, 5281-5288, 2019 | 14 | 2019 |
| HAP: Fine-Grained Dynamic Air Pollution Map Reconstruction by Hybrid Adaptive Particle Filter X Chen, X Xu, X Liu, HY Noh, L Zhang, P Zhang Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD …, 2016 | 14 | 2016 |
| Delay Effect in Mobile Sensing System for Urban Air Pollution Monitoring X Liu, X Chen, X Xu, E Mai, HY Noh, P Zhang, L Zhang Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 73, 2017 | 11 | 2017 |
| 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 | 10 | 2019 |
| PGA: Physics Guided and Adaptive Approach for Mobile Fine-Grained Air Pollution Estimation X Chen, X Xu, X Liu, S Pan, J He, HY Noh, L Zhang, P Zhang Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 10 | 2018 |
| An information-theoretic approach to unsupervised feature selection for high-dimensional data SL Huang, X Xu, L Zheng IEEE Journal on Selected Areas in Information Theory, 2020 | 8 | 2020 |
| An information theoretic interpretation to deep neural networks SL Huang, X Xu, L Zheng, GW Wornell 2019 IEEE International Symposium on Information Theory (ISIT), 1984-1988, 2019 | 6 | 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 | 4 | 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 | 4 | 2018 |
| On the Sample Complexity of HGR Maximal Correlation Functions SL Huang, X Xu arXiv preprint arXiv:1907.00393, 2019 | 3 | 2019 |
| Maximal Correlation Regression X Xu, SL Huang IEEE Access 8, 26591-26601, 2020 | 1 | 2020 |
| On the Asymptotic Sample Complexity of HGR Maximal Correlation Functions in Semi-supervised Learning X Xu, SL Huang 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 1 | 2019 |
| Maximal Correlation Embedding Network for Multilabel Learning with Missing Labels L Li, Y Li, X Xu, SL Huang, L Zhang 2019 IEEE International Conference on Multimedia and Expo (ICME), 393-398, 2019 | 1 | 2019 |
| On the robustness of noisy ace algorithm and multi-layer residual learning SL Huang, X Xu 2019 IEEE International Symposium on Information Theory (ISIT), 2474-2478, 2019 | 1 | 2019 |
| Individualized Calibration of Industrial-Grade Gas Sensors in Air Quality Sensing System X Liu, X Xu, X Chen, E Mai, HY Noh, P Zhang, L Zhang Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 74, 2017 | 1 | 2017 |
| 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, 2020 | | 2020 |
| A local characterization for Wyner common information SL Huang, X Xu, L Zheng, GW Wornell 2020 IEEE International Symposium on Information Theory (ISIT), 2252-2257, 2020 | | 2020 |
Lin ZhangTsinghua UniversityVerified email at mail.tsinghua.edu.cn
