Xiangxiang Xu
Xiangxiang Xu
Postdoc, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
342017
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
262019
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
192018
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
182016
Gotcha: a mobile urban sensing system
X Xu, P Zhang, L Zhang
Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems …, 2014
182014
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
162016
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
152019
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
122019
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
112017
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
102020
Maximal Correlation Regression
X Xu, SL Huang
IEEE Access 8, 26591-26601, 2020
72020
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
62020
On the sample complexity of HGR maximal correlation functions
SL Huang, X Xu
2019 IEEE Information Theory Workshop (ITW), 1-5, 2019
52019
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
52018
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
52018
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
42020
The Geometric Structure of Generalized Softmax Learning
X Xu, SL Huang, L Zheng, L Zhang
2018 IEEE Information Theory Workshop (ITW), 1-5, 2018
32018
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
22020
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
22020
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
22019
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