Xiangxiang Xu - RankMe

56 papers A* 3A 1B 10Misc 6Journal 22Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Contrastive Predictive Coding Done Right for Mutual Information Estimation. CoRR Jongha Jon Ryu, Pavan Yeddanapudi, Xiangxiang Xu, Gregory W. Wornell
2024	—	`conf`	Dependence Induced Representations. Allerton Xiangxiang Xu, Lizhong Zheng
2024	J	`jnl`	Dependence Induced Representations. CoRR Xiangxiang Xu, Lizhong Zheng
2024	B	`conf`	Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning. MobiHoc Chaoyu Zhang, Shanghao Shi, Ning Wang, Xiangxiang Xu, Shaoyu Li, Lizhong Zheng, Randy C. Marchany, Mark Gardner, Y. Thomas Hou, Wenjing Lou
2024	—	`conf`	Multiuser Detection With Neural Feature Learning. MILCOM Xiangxiang Xu, Lizhong Zheng
2024	J	`jnl`	Neural Feature Learning in Function Space. J. Mach. Learn. Res. Xiangxiang Xu, Lizhong Zheng
2024	A*	`conf`	Operator SVD with Neural Networks via Nested Low-Rank Approximation. ICML Jongha Jon Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell
2024	J	`jnl`	Operator SVD with Neural Networks via Nested Low-Rank Approximation. CoRR Jongha Jon Ryu, Xiangxiang Xu, H. S. Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell
2023	J	`jnl`	A Geometric Framework for Neural Feature Learning. CoRR Xiangxiang Xu, Lizhong Zheng
2023	B	`conf`	Kernel Subspace and Feature Extraction. ISIT Xiangxiang Xu, Lizhong Zheng
2023	J	`jnl`	Kernel Subspace and Feature Extraction. CoRR Xiangxiang Xu, Lizhong Zheng
2023	—	`conf`	Neural Feature Learning for Engineering Problems. Allerton Xiangxiang Xu, Lizhong Zheng, Ishank Agrawal
2023	J	`jnl`	On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing. Entropy Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang
2023	—	`conf`	Robust Transfer Learning Based on Minimax Principle. Allerton Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
2023	—	`conf`	Sequential Dependence Decomposition and Feature Learning. Allerton Xiangxiang Xu, Lizhong Zheng
2022	J	`jnl`	Adaptive Hybrid Model-Enabled Sensing System (HMSS) for Mobile Fine-Grained Air Pollution Estimation. IEEE Trans. Mob. Comput. Xinlei Chen, Susu Xu, Xinyu Liu, Xiangxiang Xu, Hae Young Noh, Lin Zhang, Pei Zhang
2022	J	`jnl`	An Information Theoretic Interpretation to Deep Neural Networks. Entropy Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Gregory W. Wornell
2022	—	`conf`	Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference. ICC Ziyan Zheng, Xinyi Tong, Xinchun Yu, Xiangxiang Xu, Shao-Lun Huang
2022	—	`conf`	Multivariate Feature Extraction. Allerton Xiangxiang Xu, Lizhong Zheng
2022	J	`jnl`	On Distributed Learning With Constant Communication Bits. IEEE J. Sel. Areas Inf. Theory Xiangxiang Xu, Shao-Lun Huang
2022	—	`conf`	On Sample Complexity of Learning Shared Representations: The Asymptotic Regime. Allerton Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang
2021	A*	`conf`	A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning. NeurIPS Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
2021	B	`conf`	An Information Theoretic Framework for Distributed Learning Algorithms. ISIT Xiangxiang Xu, Shao-Lun Huang
2021	—	`conf`	Dual Feature Distributional Regularization for Defending Against Adversarial Attacks. ICONIP (6) Mingyang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang
2021	J	`jnl`	Maximum Likelihood Estimation for Multimodal Learning with Missing Modality. CoRR Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang
2021	B	`conf`	On Distributed Hypothesis Testing with Constant-Bit Communication Constraints. ITW Xiangxiang Xu, Shao-Lun Huang
2021	J	`jnl`	On Distributed Learning with Constant Communication Bits. CoRR Xiangxiang Xu, Shao-Lun Huang
2021	J	`jnl`	On the Sample Complexity of HGR Maximal Correlation Functions for Large Datasets. IEEE Trans. Inf. Theory Shao-Lun Huang, Xiangxiang Xu
2020	B	`conf`	A Local Characterization for Wyner Common Information. ISIT Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
2020	J	`jnl`	An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng
2020	J	`jnl`	Enhancing the Data Learning With Physical Knowledge in Fine-Grained Air Pollution Inference. IEEE Access Rui Ma, Ning Liu, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang
2020	J	`jnl`	Fine-Grained Air Pollution Inference with Mobile Sensing Systems: A Weather-Related Deep Autoencoder Model. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Rui Ma, Ning Liu, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang
2020	J	`jnl`	Maximal Correlation Regression. IEEE Access Xiangxiang Xu, Shao-Lun Huang
2020	J	`jnl`	On the Optimal Tradeoff Between Computational Efficiency and Generalizability of Oja's Algorithm. IEEE Access Xiangxiang Xu, Shao-Lun Huang
2020	B	`conf`	On the Sample Complexity of Estimating Small Singular Modes. ISIT Xiangxiang Xu, Weida Wang, Shao-Lun Huang
2019	—	`conf`	A deep autoencoder model for pollution map recovery with mobile sensing networks. UbiComp/ISWC Adjunct Rui Ma, Ning Liu, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang
2019	—	`conf`	A maximal correlation embedding method for multilabel human context recognition: poster abstract. IPSN Lu Li, Yang Li, Xiangxiang Xu, Lin Zhang
2019	A*	`conf`	An Efficient Approach to Informative Feature Extraction from Multimodal Data. AAAI Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
2019	B	`conf`	An Information Theoretic Interpretation to Deep Neural Networks. ISIT Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
2019	J	`jnl`	An Information Theoretic Interpretation to Deep Neural Networks. CoRR Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
2019	J	`jnl`	An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. CoRR Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng
2019	A	`conf`	Maximal Correlation Embedding Network for Multilabel Learning with Missing Labels. ICME Lu Li, Yang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang
2019	B	`conf`	On The Sample Complexity of HGR Maximal Correlation Functions. ITW Shao-Lun Huang, Xiangxiang Xu
2019	—	`conf`	On the Asymptotic Sample Complexity of HGR Maximal Correlation Functions in Semi-supervised Learning. Allerton Xiangxiang Xu, Shao-Lun Huang
2019	B	`conf`	On the Robustness of Noisy ACE Algorithm and Multi-Layer Residual Learning. ISIT Shao-Lun Huang, Xiangxiang Xu
2019	J	`jnl`	On the Sample Complexity of HGR Maximal Correlation Functions. CoRR Shao-Lun Huang, Xiangxiang Xu
2018	J	`jnl`	An Efficient Approach to Informative Feature Extraction from Multimodal Data. CoRR Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
2018	Misc	`conf`	Generative Model Based Fine-Grained Air Pollution Inference for Mobile Sensing Systems. SenSys Rui Ma, Xiangxiang Xu, Hae Young Noh, Pei Zhang, Lin Zhang
2018	—	`conf`	Guiding the Data Learning Process with Physical Model in Air Pollution Inference. IEEE BigData Rui Ma, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, Lin Zhang
2018	—	`conf`	PGA: Physics Guided and Adaptive Approach for Mobile Fine-Grained Air Pollution Estimation. UbiComp/ISWC Adjunct Xinlei Chen, Xiangxiang Xu, Xinyu Liu, Shijia Pan, Jiayou He, Hae Young Noh, Lin Zhang, Pei Zhang
2018	B	`conf`	The Geometric Structure of Generalized Softmax Learning. ITW Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Lin Zhang
2017	Misc	`conf`	Delay Effect in Mobile Sensing System for Urban Air Pollution Monitoring. SenSys Xinyu Liu, Xinlei Chen, Xiangxiang Xu, Enhan Mai, Hae Young Noh, Pei Zhang, Lin Zhang
2017	Misc	`conf`	Individualized Calibration of Industrial-Grade Gas Sensors in Air Quality Sensing System. SenSys Xinyu Liu, Xiangxiang Xu, Xinlei Chen, Enhan Mai, Hae Young Noh, Pei Zhang, Lin Zhang
2016	Misc	`conf`	Gotcha II: Deployment of a Vehicle-based Environmental Sensing System: Poster Abstract. SenSys Xiangxiang Xu, Xinlei Chen, Xinyu Liu, Hae Young Noh, Pei Zhang, Lin Zhang
2016	Misc	`conf`	HAP: Fine-Grained Dynamic Air Pollution Map Reconstruction by Hybrid Adaptive Particle Filter: Poster Abstract. SenSys Xinlei Chen, Xiangxiang Xu, Xinyu Liu, Hae Young Noh, Lin Zhang, Pei Zhang
2014	Misc	`conf`	Gotcha: a mobile urban sensing system. SenSys Xiangxiang Xu, Pei Zhang, Lin Zhang