| 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 | 73 | 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 | 65 | 2020 |
| 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 | 60 | 2018 |
| 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 | 59 | 2017 |
| An Information Theoretic Interpretation to Deep Neural Networks X Xu, SL Huang, L Zheng, GW Wornell Entropy 24 (1), 135, 2022 | 48 | 2022 |
| 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 | 38 | 2016 |
| A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning X Tong, X Xu, SL Huang, L Zheng Advances in Neural Information Processing Systems 34, 26103-26116, 2021 | 37 | 2021 |
| 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 | 34 | 2016 |
| Maximal Correlation Regression X Xu, SL Huang IEEE Access 8, 26591-26601, 2020 | 32 | 2020 |
| 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 1 (1), 157-166, 2020 | 30 | 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 | 22 | 2019 |
| On the Sample Complexity of HGR Maximal Correlation Functions for Large Datasets SL Huang, X Xu IEEE Transactions on Information Theory 67 (3), 1951-1980, 2020 | 21* | 2020 |
| 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 | 21 | 2017 |
| 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 | 19 | 2020 |
| Gotcha: a mobile urban sensing system X Xu, P Zhang, L Zhang Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems …, 2014 | 19 | 2014 |
| Maximum Likelihood Estimation for Multimodal Learning with Missing Modality F Ma, X Xu, SL Huang, L Zhang arXiv preprint arXiv:2108.10513, 2021 | 17 | 2021 |
| Neural Feature Learning in Function Space X Xu, L Zheng Journal of Machine Learning Research 25 (142), 1-76, 2024 | 12* | 2024 |
| 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 | 12 | 2017 |
| 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 |
Shao-Lun HuangTBSI, Tsinghua UniversityПідтверджена електронна адреса в sz.tsinghua.edu.cn