Xiangxiang Xu

According to our database, Xiangxiang Xu authored at least 44 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Neural Feature Learning in Function Space.

Xiangxiang Xu, Lizhong Zheng

J. Mach. Learn. Res., 2024

Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning.

Chaoyu Zhang, Shanghao Shi, Ning Wang, Xiangxiang Xu, Shaoyu Li, Lizhong Zheng, Randy C. Marchany, Mark Gardner, Y. Thomas Hou, Wenjing Lou

Proceedings of the Twenty-fifth International Symposium on Theory, 2024

Operator SVD with Neural Networks via Nested Low-Rank Approximation.

Jongha Jon Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing.

Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang

Entropy, October, 2023

A Geometric Framework for Neural Feature Learning.

Xiangxiang Xu, Lizhong Zheng

CoRR, 2023

Kernel Subspace and Feature Extraction.

Xiangxiang Xu, Lizhong Zheng

Proceedings of the IEEE International Symposium on Information Theory, 2023

Neural Feature Learning for Engineering Problems.

Xiangxiang Xu, Lizhong Zheng, Ishank Agrawal

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

Sequential Dependence Decomposition and Feature Learning.

Xiangxiang Xu, Lizhong Zheng

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

Robust Transfer Learning Based on Minimax Principle.

Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Adaptive Hybrid Model-Enabled Sensing System (HMSS) for Mobile Fine-Grained Air Pollution Estimation.

Xinlei Chen, Susu Xu, Xinyu Liu, Xiangxiang Xu, Hae Young Noh, Lin Zhang, Pei Zhang

IEEE Trans. Mob. Comput., 2022

On Distributed Learning With Constant Communication Bits.

Xiangxiang Xu, Shao-Lun Huang

IEEE J. Sel. Areas Inf. Theory, 2022

An Information Theoretic Interpretation to Deep Neural Networks.

Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Gregory W. Wornell

Entropy, 2022

Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference.

Ziyan Zheng, Xinyi Tong, Xinchun Yu, Xiangxiang Xu, Shao-Lun Huang

Proceedings of the IEEE International Conference on Communications, 2022

Multivariate Feature Extraction.

Xiangxiang Xu, Lizhong Zheng

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

On Sample Complexity of Learning Shared Representations: The Asymptotic Regime.

Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

On the Sample Complexity of HGR Maximal Correlation Functions for Large Datasets.

Shao-Lun Huang, Xiangxiang Xu

IEEE Trans. Inf. Theory, 2021

Maximum Likelihood Estimation for Multimodal Learning with Missing Modality.

Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang

CoRR, 2021

A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning.

Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Distributed Hypothesis Testing with Constant-Bit Communication Constraints.

Xiangxiang Xu, Shao-Lun Huang

Proceedings of the IEEE Information Theory Workshop, 2021

An Information Theoretic Framework for Distributed Learning Algorithms.

Xiangxiang Xu, Shao-Lun Huang

Proceedings of the IEEE International Symposium on Information Theory, 2021

Dual Feature Distributional Regularization for Defending Against Adversarial Attacks.

Mingyang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data.

Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng

IEEE J. Sel. Areas Inf. Theory, 2020

Fine-Grained Air Pollution Inference with Mobile Sensing Systems: A Weather-Related Deep Autoencoder Model.

Rui Ma, Ning Liu, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

On the Optimal Tradeoff Between Computational Efficiency and Generalizability of Oja's Algorithm.

Xiangxiang Xu, Shao-Lun Huang

IEEE Access, 2020

Maximal Correlation Regression.

Xiangxiang Xu, Shao-Lun Huang

IEEE Access, 2020

Enhancing the Data Learning With Physical Knowledge in Fine-Grained Air Pollution Inference.

Rui Ma, Ning Liu, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang

IEEE Access, 2020

A Local Characterization for Wyner Common Information.

Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell

Proceedings of the IEEE International Symposium on Information Theory, 2020

On the Sample Complexity of Estimating Small Singular Modes.

Xiangxiang Xu, Weida Wang, Shao-Lun Huang

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

On The Sample Complexity of HGR Maximal Correlation Functions.

Shao-Lun Huang, Xiangxiang Xu

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

On the Robustness of Noisy ACE Algorithm and Multi-Layer Residual Learning.

Shao-Lun Huang, Xiangxiang Xu

Proceedings of the IEEE International Symposium on Information Theory, 2019

A maximal correlation embedding method for multilabel human context recognition: poster abstract.

Lu Li, Yang Li, Xiangxiang Xu, Lin Zhang

Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

Maximal Correlation Embedding Network for Multilabel Learning with Missing Labels.

Lu Li, Yang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A deep autoencoder model for pollution map recovery with mobile sensing networks.

Rui Ma, Ning Liu, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

On the Asymptotic Sample Complexity of HGR Maximal Correlation Functions in Semi-supervised Learning.

Xiangxiang Xu, Shao-Lun Huang

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

An Efficient Approach to Informative Feature Extraction from Multimodal Data.

Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Generative Model Based Fine-Grained Air Pollution Inference for Mobile Sensing Systems.

Rui Ma, Xiangxiang Xu, Hae Young Noh, Pei Zhang, Lin Zhang

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

The Geometric Structure of Generalized Softmax Learning.

Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Lin Zhang

Proceedings of the IEEE Information Theory Workshop, 2018

PGA: Physics Guided and Adaptive Approach for Mobile Fine-Grained Air Pollution Estimation.

Xinlei Chen, Xiangxiang Xu, Xinyu Liu, Shijia Pan, Jiayou He, Hae Young Noh, Lin Zhang, Pei Zhang

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Guiding the Data Learning Process with Physical Model in Air Pollution Inference.

Rui Ma, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Individualized Calibration of Industrial-Grade Gas Sensors in Air Quality Sensing System.

Xinyu Liu, Xiangxiang Xu, Xinlei Chen, Enhan Mai, Hae Young Noh, Pei Zhang, Lin Zhang

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

Delay Effect in Mobile Sensing System for Urban Air Pollution Monitoring.

Xinyu Liu, Xinlei Chen, Xiangxiang Xu, Enhan Mai, Hae Young Noh, Pei Zhang, Lin Zhang

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

2016

Gotcha II: Deployment of a Vehicle-based Environmental Sensing System: Poster Abstract.

Xiangxiang Xu, Xinlei Chen, Xinyu Liu, Hae Young Noh, Pei Zhang, Lin Zhang

Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016

HAP: Fine-Grained Dynamic Air Pollution Map Reconstruction by Hybrid Adaptive Particle Filter: Poster Abstract.

Xinlei Chen, Xiangxiang Xu, Xinyu Liu, Hae Young Noh, Lin Zhang, Pei Zhang

Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016

2014

Gotcha: a mobile urban sensing system.

Xiangxiang Xu, Pei Zhang, Lin Zhang

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, 2014