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ORCIDXiangxiang Xu 0001
Person information
- unicode name: 徐祥祥
- affiliation: Tsinghua University, Beijing, China
Other persons with the same name
- Xiangxiang Xu — disambiguation page
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2020 – today
- 2024
[j11]Xiangxiang Xu, Lizhong Zheng:
Neural Feature Learning in Function Space. J. Mach. Learn. Res. 25: 142:1-142:76 (2024)- [c33]Xiangxiang Xu, Lizhong Zheng:
Dependence Induced Representations. Allerton 2024: 1-8 - [c32]Jongha Jon Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell:
Operator SVD with Neural Networks via Nested Low-Rank Approximation. ICML 2024 - [c31]Chaoyu Zhang
, Shanghao Shi, Ning Wang, Xiangxiang Xu, Shaoyu Li, Lizhong Zheng, Randy C. Marchany, Mark Gardner, Y. Thomas Hou, Wenjing Lou:
Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning. MobiHoc 2024: 251-260 - [i9]Jongha Jon Ryu, Xiangxiang Xu, H. S. Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell:
Operator SVD with Neural Networks via Nested Low-Rank Approximation. CoRR abs/2402.03655 (2024) - 2023
- [j10]Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang:
On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing. Entropy 25(10): 1434 (2023) - [c30]Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng:
Robust Transfer Learning Based on Minimax Principle. Allerton 2023: 1-7 - [c29]Xiangxiang Xu, Lizhong Zheng:
Sequential Dependence Decomposition and Feature Learning. Allerton 2023: 1-8 - [c28]Xiangxiang Xu, Lizhong Zheng, Ishank Agrawal:
Neural Feature Learning for Engineering Problems. Allerton 2023: 1-8 - [c27]Xiangxiang Xu, Lizhong Zheng:
Kernel Subspace and Feature Extraction. ISIT 2023: 1032-1037 - [i8]Xiangxiang Xu, Lizhong Zheng:
Kernel Subspace and Feature Extraction. CoRR abs/2301.01410 (2023) - [i7]Xiangxiang Xu, Lizhong Zheng:
A Geometric Framework for Neural Feature Learning. CoRR abs/2309.10140 (2023) - 2022
- [j9]Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Gregory W. Wornell:
An Information Theoretic Interpretation to Deep Neural Networks. Entropy 24(1): 135 (2022) - [j8]Xiangxiang Xu, Shao-Lun Huang:
On Distributed Learning With Constant Communication Bits. IEEE J. Sel. Areas Inf. Theory 3(1): 125-134 (2022) - [j7]Xinlei Chen, Susu Xu, Xinyu Liu, Xiangxiang Xu, Hae Young Noh, Lin Zhang, Pei Zhang:
Adaptive Hybrid Model-Enabled Sensing System (HMSS) for Mobile Fine-Grained Air Pollution Estimation. IEEE Trans. Mob. Comput. 21(6): 1927-1944 (2022) - [c26]Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang:
On Sample Complexity of Learning Shared Representations: The Asymptotic Regime. Allerton 2022: 1-8 - [c25]Xiangxiang Xu, Lizhong Zheng:
Multivariate Feature Extraction. Allerton 2022: 1-8 - [c24]Ziyan Zheng, Xinyi Tong, Xinchun Yu, Xiangxiang Xu, Shao-Lun Huang:
Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference. ICC 2022: 2609-2614 - 2021
- [j6]Shao-Lun Huang, Xiangxiang Xu:
On the Sample Complexity of HGR Maximal Correlation Functions for Large Datasets. IEEE Trans. Inf. Theory 67(3): 1951-1980 (2021) - [c23]Mingyang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Dual Feature Distributional Regularization for Defending Against Adversarial Attacks. ICONIP (6) 2021: 377-386 - [c22]Xiangxiang Xu, Shao-Lun Huang:
An Information Theoretic Framework for Distributed Learning Algorithms. ISIT 2021: 314-319 - [c21]Xiangxiang Xu, Shao-Lun Huang:
On Distributed Hypothesis Testing with Constant-Bit Communication Constraints. ITW 2021: 1-6 - [c20]Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng:
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning. NeurIPS 2021: 26103-26116 - [i6]Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Maximum Likelihood Estimation for Multimodal Learning with Missing Modality. CoRR abs/2108.10513 (2021) - [i5]Xiangxiang Xu, Shao-Lun Huang:
On Distributed Learning with Constant Communication Bits. CoRR abs/2109.06388 (2021) - 2020
- [j5]Xiangxiang Xu, Shao-Lun Huang:
Maximal Correlation Regression. IEEE Access 8: 26591-26601 (2020) - [j4]Rui Ma, Ning Liu, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang:
Enhancing the Data Learning With Physical Knowledge in Fine-Grained Air Pollution Inference. IEEE Access 8: 88372-88384 (2020) - [j3]Xiangxiang Xu, Shao-Lun Huang:
On the Optimal Tradeoff Between Computational Efficiency and Generalizability of Oja's Algorithm. IEEE Access 8: 102616-102628 (2020) - [j2]Rui Ma, Ning Liu, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang:
Fine-Grained Air Pollution Inference with Mobile Sensing Systems: A Weather-Related Deep Autoencoder Model. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 52:1-52:21 (2020) - [j1]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng:
An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory 1(1): 157-166 (2020) - [c19]Xiangxiang Xu, Weida Wang, Shao-Lun Huang:
On the Sample Complexity of Estimating Small Singular Modes. ISIT 2020: 1189-1194 - [c18]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell:
A Local Characterization for Wyner Common Information. ISIT 2020: 2252-2257
2010 – 2019
- 2019
- [c17]Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. AAAI 2019: 5281-5288 - [c16]Xiangxiang Xu, Shao-Lun Huang:
On the Asymptotic Sample Complexity of HGR Maximal Correlation Functions in Semi-supervised Learning. Allerton 2019: 879-886 - [c15]Rui Ma, Ning Liu, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang:
A deep autoencoder model for pollution map recovery with mobile sensing networks. UbiComp/ISWC Adjunct 2019: 577-583 - [c14]Lu Li, Yang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Maximal Correlation Embedding Network for Multilabel Learning with Missing Labels. ICME 2019: 393-398 - [c13]Lu Li, Yang Li, Xiangxiang Xu, Lin Zhang:
A maximal correlation embedding method for multilabel human context recognition: poster abstract. IPSN 2019: 305-306 - [c12]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell:
An Information Theoretic Interpretation to Deep Neural Networks. ISIT 2019: 1984-1988 - [c11]Shao-Lun Huang, Xiangxiang Xu:
On the Robustness of Noisy ACE Algorithm and Multi-Layer Residual Learning. ISIT 2019: 2474-2478 - [c10]Shao-Lun Huang, Xiangxiang Xu:
On The Sample Complexity of HGR Maximal Correlation Functions. ITW 2019: 1-5 - [i4]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell:
An Information Theoretic Interpretation to Deep Neural Networks. CoRR abs/1905.06600 (2019) - [i3]Shao-Lun Huang, Xiangxiang Xu:
On the Sample Complexity of HGR Maximal Correlation Functions. CoRR abs/1907.00393 (2019) - [i2]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng:
An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. CoRR abs/1910.03196 (2019) - 2018
- [c9]Rui Ma, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang:
Guiding the Data Learning Process with Physical Model in Air Pollution Inference. IEEE BigData 2018: 4475-4483 - [c8]Xinlei Chen, Xiangxiang Xu, Xinyu Liu, Shijia Pan, Jiayou He, Hae Young Noh, Lin Zhang, Pei Zhang:
PGA: Physics Guided and Adaptive Approach for Mobile Fine-Grained Air Pollution Estimation. UbiComp/ISWC Adjunct 2018: 1321-1330 - [c7]Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Lin Zhang:
The Geometric Structure of Generalized Softmax Learning. ITW 2018: 1-5 - [c6]Rui Ma, Xiangxiang Xu, Hae Young Noh, Pei Zhang, Lin Zhang:
Generative Model Based Fine-Grained Air Pollution Inference for Mobile Sensing Systems. SenSys 2018: 426-427 - [i1]Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. CoRR abs/1811.08979 (2018) - 2017
- [c5]Xinyu Liu, Xinlei Chen, Xiangxiang Xu, Enhan Mai, Hae Young Noh, Pei Zhang, Lin Zhang:
Delay Effect in Mobile Sensing System for Urban Air Pollution Monitoring. SenSys 2017: 73:1-73:2 - [c4]Xinyu Liu, Xiangxiang Xu, Xinlei Chen, Enhan Mai, Hae Young Noh, Pei Zhang, Lin Zhang:
Individualized Calibration of Industrial-Grade Gas Sensors in Air Quality Sensing System. SenSys 2017: 74:1-74:2 - 2016
- [c3]Xinlei Chen, Xiangxiang Xu, Xinyu Liu, Hae Young Noh, Lin Zhang, Pei Zhang:
HAP: Fine-Grained Dynamic Air Pollution Map Reconstruction by Hybrid Adaptive Particle Filter: Poster Abstract. SenSys 2016: 336-337 - [c2]Xiangxiang Xu, Xinlei Chen, Xinyu Liu, Hae Young Noh, Pei Zhang, Lin Zhang:
Gotcha II: Deployment of a Vehicle-based Environmental Sensing System: Poster Abstract. SenSys 2016: 376-377 - 2014
- [c1]Xiangxiang Xu, Pei Zhang, Lin Zhang:
Gotcha: a mobile urban sensing system. SenSys 2014: 316-317
Coauthor Index
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