Xu Zhang

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All published works
Action Title Year Authors
+ PDF Chat Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering 2024 Xu Zhang
Yuheng Jia
Mofei Song
Ran Wang
+ PDF Chat Extraction of Maternal and fetal ECG in a non-invasive way from abdominal ECG recordings using modified Progressive FastICA Peel-off 2024 Yao Li
Xuanyu Luo
Haowen Zhao
Jiawen Cui
Yangfan She
Dongfang Li
Lai Jiang
Xu Zhang
+ PDF Chat Online Decomposition of Surface Electromyogram Into Individual Motor Unit Activities Using Progressive FastICA Peel-Off 2023 Haowen Zhao
Xu Zhang
Maoqi Chen
Ping Zhou
+ Surveillance Face Anti-spoofing 2023 Hao Fang
Ajian Liu
Jun Wan
SĂ©rgio Escalera
Chenxu Zhao
Xu Zhang
Stan Z. Li
Zhen Lei
+ Online Decomposition of Surface Electromyogram into Individual Motor Unit Activities Using Progressive FastICA Peel-off 2023 Haowen Zhao
Xu Zhang
Maoqi Chen
Ping Zhou
+ Dynamically generated states from the $ηK^*\bar{K}^*$, $πK^*\bar{K}^*$, and $K K^*\bar{K}^*$ systems within the faddeev fixed-center approximation 2023 Qing-Hua Shen
Xu Zhang
Xiang Liu
Ju-Jun Xie
+ PDF Chat A Two-Step Backward Compatible Fullband Speech Enhancement System 2022 Xu Zhang
Lianwu Chen
Xiguang Zheng
Xinlei Ren
Chen Zhang
Liang Guo
Bing Yu
+ A two-step backward compatible fullband speech enhancement system 2022 Xu Zhang
Lianwu Chen
Xiguang Zheng
Xinlei Ren
Chen Zhang
Liang Guo
Bing Yu
+ PDF Chat MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG 2021 Jing Zhang
Liang Deng
Aiping Liu
Min Gao
Xiang Chen
Xu Zhang
Xun Chen
+ MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG 2020 Jing Zhang
Liang Deng
Aiping Liu
Min Gao
Xiang Chen
Xu Zhang
Xun Chen
+ PDF Chat Compressive Multidimensional Harmonic Retrieval with Prior Knowledge 2019 Yinchuan Li
Xu Zhang
Zegang Ding
Xiaodong Wang
+ A Practical Marine Wireless Sensor Network Monitoring System Based on LoRa and MQTT 2019 Ao Huang
Mengxing Huang
Zhen-tang Shao
Xu Zhang
Di Wu
Chunjie Cao
+ Covariance Matrix Estimation from Correlated Sub-Gaussian Samples 2019 Xu Zhang
Wei Cui
Yulong Liu
+ PDF Chat Efficient classification using parallel and scalable compressed model and its application on intrusion detection 2014 Tieming Chen
Xu Zhang
Shichao Jin
Okhee Kim
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices 2019 Saeed Saadatnejad
Mohammadhosein Oveisi
Matin Hashemi
2
+ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation 2014 Kyunghyun Cho
Bart van Merriënboer
Çaǧlar GĂŒlçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
2
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
2
+ PDF Chat Impact of the tick-size on financial returns and correlations 2010 Michael C. MĂŒnnix
Rudi SchÀfer
Thomas Guhr
1
+ Combinatorial theory of the free product with amalgamation and operator-valued free probability theory 1998 Roland Speicher
1
+ PDF Chat Group symmetry and covariance regularization 2012 Parikshit Shah
Venkat Chandrasekaran
1
+ Über den zusammenhang der extremen von harmonischen funktionen mit ihren koeffizienten und ĂŒber den picard-landau’schen satz 1911 Constantin CarathĂ©odory
Leopold Fejér
1
+ PDF Chat Applying free random variables to random matrix analysis of financial data. Part I: The Gaussian case 2010 Z. Burda
Andrzej Jarosz
Maciej A. Nowak
J. Jurkiewicz
GĂĄbor Papp
IsmaĂŻl Zahed
1
+ PDF Chat Atomic Norm Denoising With Applications to Line Spectral Estimation 2013 Badri Narayan Bhaskar
Gongguo Tang
Benjamin Recht
1
+ Sampling convex bodies: a random matrix approach 2006 Guillaume Aubrun
1
+ Latent outlier detection and the low precision problem 2013 Fei Wang
Sanjay Chawla
Didi Surian
1
+ High-Resolution Alignment of Sampled Waveforms 1984 Kevin C. McGill
Leslie J. Dorfman
1
+ PDF Chat How Close is the Sample Covariance Matrix to the Actual Covariance Matrix? 2011 Roman Vershynin
1
+ PDF Chat Random weighted projections, random quadratic forms and random eigenvectors 2014 Van Vu
Ke Wang
1
+ PDF Chat Super-Resolution from Noisy Data 2013 Emmanuel J. CandĂšs
Carlos Fernandez‐Granda
1
+ PDF Chat Fast and robust fixed-point algorithms for independent component analysis 1999 Aapo HyvÀrinen
1
+ PDF Chat The family of mapreduce and large-scale data processing systems 2013 Sherif Sakr
Anna Liu
Ayman G. Fayoumi
1
+ PDF Chat An overview of the estimation of large covariance and precision matrices 2016 Jianqing Fan
Yuan Liao
Han Liu
1
+ Efron–Stein inequalities for random matrices 2016 Daniel Paulin
Lester Mackey
Joel A. Tropp
1
+ Concentration inequalities and moment bounds for sample covariance operators 2016 Vladimir Koltchinskii
Karim Lounici
1
+ PDF Chat Super-Resolution Delay-Doppler Estimation for OFDM Passive Radar 2017 Le Zheng
Xiaodong Wang
1
+ PDF Chat Compressed Sensing Off the Grid 2013 Gongguo Tang
Badri Narayan Bhaskar
Parikshit Shah
Benjamin Recht
1
+ PDF Chat Adaptive Interference Removal for Uncoordinated Radar/Communication Coexistence 2017 Le Zheng
Marco Lops
Xiaodong Wang
1
+ Deep Voice 3: 2000-Speaker Neural Text-to-Speech 2017 Wei Ping
Kainan Peng
Andrew Gibiansky
Sercan Ö. Arık
Ajay Kannan
Sharan Narang
Jonathan Raiman
J. J. Miller
1
+ High-Dimensional Probability: An Introduction with Applications in Data Science 2018 Roman Vershynin
1
+ Applying Free Random Variables to Random Matrix Analysis of Financial Data 2006 Z. Burda
Andrzej Jarosz
J. Jurkiewicz
Maciej A. Nowak
GĂĄbor Papp
IsmaĂŻl Zahed
1
+ PDF Chat Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems 2019 Boyi Liu
Lujia Wang
Ming Liu
1
+ PDF Chat Covariance Matrix Estimation From Linearly-Correlated Gaussian Samples 2019 Wei Cui
Xu Zhang
Yulong Liu
1
+ Multi-dimensional Spectral Super-Resolution with Prior Knowledge via Frequency-Selective Vandermonde Decomposition and ADMM 2019 Yinchuan Li
Xiaodong Wang
Zegang Ding
1
+ PDF Chat Vandermonde Decomposition of Multilevel Toeplitz Matrices With Application to Multidimensional Super-Resolution 2016 Zai Yang
Lihua Xie
Petre Stoica
1
+ PDF Chat A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement 2018 Jean-Marc Valin
1
+ PDF Chat Exact Joint Sparse Frequency Recovery via Optimization Methods 2016 Zai Yang
Lihua Xie
1
+ PDF Chat Spectral Super-Resolution With Prior Knowledge 2015 Kumar Vijay Mishra
Myung Cho
Anton Kruger
Weiyu Xu
1
+ PDF Chat Towards a Mathematical Theory of Super‐resolution 2013 Emmanuel J. Candùs
Carlos Fernandez‐Granda
1
+ PDF Chat Frequency-selective Vandermonde decomposition of Toeplitz matrices with applications 2017 Zai Yang
Lihua Xie
1
+ PDF Chat Introduction to the non-asymptotic analysis of random matrices 2012 Roman Vershynin
1
+ PDF Chat Multi-Target Position and Velocity Estimation Using OFDM Communication Signals 2019 Yinchuan Li
Xiaodong Wang
Zegang Ding
1
+ Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL 2020 Nils Strodthoff
Patrick Wagner
Tobias Schaeffter
Wojciech Samek
1
+ HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis 2020 Jiawei Chen
Xu Tan
Jian Luan
Tao Qin
Tie‐Yan Liu
1
+ PDF Chat Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL 2020 Nils Strodthoff
Patrick Wagner
Tobias Schaeffter
Wojciech Samek
1
+ PDF Chat Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression 2020 Nils L. Westhausen
Bernd T. Meyer
1
+ PDF Chat A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech 2020 Jean-Marc Valin
Umut Isik
Neerad Phansalkar
Ritwik Giri
Karim Helwani
Arvindh Krishnaswamy
1
+ Covariance estimation for distributions with ${2+\varepsilon}$ moments 2013 Nikhil Srivastava
Roman Vershynin
1
+ PDF Chat Quantitative estimates of the convergence of the empirical covariance matrix in log-concave ensembles 2009 RadosƂaw Adamczak
Alexander E. Litvak
Alain Pajor
Nicole Tomczak-Jaegermann
1
+ Compound Wishart Matrices and Noisy Covariance Matrices: Risk Underestimation 2013 Beno it Collins
David McDonald
Nadia Saad
1
+ PDF Chat ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network 2021 Andong Li
Wenzhe Liu
Xiaoxue Luo
Chengshi Zheng
Xiaodong Li
1
+ PDF Chat ICASSP 2021 Deep Noise Suppression Challenge 2021 Chandan K. Reddy
Harishchandra Dubey
Vishak Gopal
Ross Cutler
Sebastian Braun
Hannes Gamper
Robert Aichner
Sriram Srinivasan
1
+ PDF Chat INTERSPEECH 2021 Deep Noise Suppression Challenge 2021 Chandan K. Reddy
Harishchandra Dubey
Kazuhito Koishida
Arun Asokan Nair
Vishak Gopal
Ross Cutler
Sebastian Braun
Hannes Gamper
Robert Aichner
Sriram Srinivasan
1
+ PDF Chat A Simultaneous Denoising and Dereverberation Framework with Target Decoupling 2021 Andong Li
Wenzhe Liu
Xiaoxue Luo
Guochen Yu
Chengshi Zheng
Xiaodong Li
1
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
1