Linxiao Yang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Bayesian Learning

Localization Algorithm

Top Venues

IEEE Signal Process. Lett.

Publications

Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. KDD (2024)
Rui Ren, Jingbang Yang, Linxiao Yang, Xinyue Gu, Liang Sun
SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice. ICSE Companion (2024)
Zhiqiang Zhou, Linxiao Yang, Qingsong Wen, Liang Sun
RobustTSVar: A Robust Time Series Variance Estimation Algorithm. ICASSP (2024)
Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. CoRR (2024)
Linxiao Yang, Jingbang Yang, Liang Sun
Efficient Decision Rule List Learning via Unified Sequence Submodular Optimization. KDD (2024)
Rui Ren, Jingbang Yang, Linxiao Yang, Xinyue Gu, Liang Sun
SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice. CoRR (2024)
Linxiao Yang, Rui Ren, Xinyue Gu, Liang Sun
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting. KDD (2023)
Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun
SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events. ICASSP (2023)
Linxiao Yang, Rui Ren, Xinyue Gu, Liang Sun
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting. CoRR (2023)
Qingsong Wen, Linxiao Yang, Liang Sun
Robust Dominant Periodicity Detection for Time Series with Missing Data. ICASSP (2023)
Qingsong Wen, Linxiao Yang, Liang Sun
Robust Dominant Periodicity Detection for Time Series with Missing Data. CoRR (2023)
Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Xinyue Gu, Jin Wang, Qiming Chen, Linxiao Yang, Qingsong Wen, Liang Sun
Energy forecasting with robust, flexible, and explainable machine learning algorithms. AI Mag. 44 (4) (2023)
Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events. CoRR (2023)
Qingsong Wen, Linxiao Yang, Tian Zhou, Liang Sun
Robust Time Series Analysis and Applications: An Industrial Perspective. KDD (2022)
Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun
Netrca: An Effective Network Fault Cause Localization Algorithm. ICASSP (2022)
Fan Yang, Kai He, Linxiao Yang, Hongxia Du, Jingbang Yang, Bo Yang, Liang Sun
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach. CoRR (2022)
Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun
NetRCA: An Effective Network Fault Cause Localization Algorithm. CoRR (2022)
Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. ICASSP (2021)
Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. CoRR (2021)
Fan Yang, Kai He, Linxiao Yang, Hongxia Du, Jingbang Yang, Bo Yang, Liang Sun
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach. NeurIPS (2021)
Jiandong Xie, Jun Fang, Chang Liu, Linxiao Yang
Unsupervised Deep Spectrum Sensing: A Variational Auto-Encoder Based Approach. IEEE Trans. Veh. Technol. 69 (5) (2020)
Xiaoxu Zhang, Li Hao, Pingzhi Fan, Jiaqi Liu, Linxiao Yang
Iterative Reweighed Approach for Multiuser Detection with Multiple Measurement Vector in MTC Communications. VTC Spring (2020)
Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li
Fast Compressed Power Spectrum Estimation: Toward a Practical Solution for Wideband Spectrum Sensing. IEEE Trans. Wirel. Commun. 19 (1) (2020)
Kaihui Liu, Linxiao Yang, Jiandong Xie
Robust Initialization Estimator and its Application in Solving Quadratic Equations. IEEE Access 7 (2019)
Linxiao Yang, Ngai-Man Cheung, Jiaying Li, Jun Fang
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding. ICCV (2019)
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. CoRR (2019)
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. NeurIPS (2019)
Kaihui Liu, Jiayi Wang, Zhengli Xing, Linxiao Yang, Jun Fang
Low-Rank Phase Retrieval via Variational Bayesian Learning. IEEE Access 7 (2019)
Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li
Fast Compressed Power Spectrum Estimation: Towards A Practical Solution for Wideband Spectrum Sensing. CoRR (2019)
Kaihui Liu, Zhengli Xing, Linxiao Yang, Liangtian Wan
Phase Retrieval via a Modified Null Vector Estimator. WCSP (2018)
Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li, Bing Zeng
Fast Low-Rank Bayesian Matrix Completion With Hierarchical Gaussian Prior Models. IEEE Trans. Signal Process. 66 (11) (2018)
Kaihui Liu, Jiayi Wang, Zhengli Xing, Linxiao Yang, Jun Fang
Low-Rank Phase Retrieval via Variational Bayesian Learning. CoRR (2018)
Huiping Duan, Linxiao Yang, Jun Fang, Hongbin Li
Fast Inverse-Free Sparse Bayesian Learning via Relaxed Evidence Lower Bound Maximization. IEEE Signal Process. Lett. 24 (6) (2017)
Zhou Zhou, Jun Fang, Linxiao Yang, Hongbin Li, Zhi Chen, Rick S. Blum
Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems. IEEE J. Sel. Areas Commun. 35 (7) (2017)
Linxiao Yang, Jun Fang, Hong Cheng, Hongbin Li
Sparse Bayesian dictionary learning with a Gaussian hierarchical model. Signal Process. 130 (2017)
Hang Xiao, Zhengli Xing, Linxiao Yang, Jun Fang, Yanlun Wu
Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning. CoRR (2017)
Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li, Bing Zeng
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models. CoRR (2017)
Linxiao Yang, Jun Fang, Hongbin Li
Sparse Bayesian dictionary learning with a Gaussian hierarchical model. ICASSP (2016)
Zhou Zhou, Jun Fang, Linxiao Yang, Hongbin Li, Zhi Chen, Shaoqian Li
Channel Estimation for Millimeter Wave Multiuser MIMO Systems via PARAFAC Decomposition. CoRR (2016)
Zhou Zhou, Jun Fang, Linxiao Yang, Hongbin Li, Zhi Chen, Shaoqian Li
Channel Estimation for Millimeter-Wave Multiuser MIMO Systems via PARAFAC Decomposition. IEEE Trans. Wirel. Commun. 15 (11) (2016)
Linxiao Yang, Jun Fang, Hongbin Li, Bing Zeng
Localized Low-Rank Promoting for Recovery of Block-Sparse Signals With Intrablock Correlation. IEEE Signal Process. Lett. 23 (10) (2016)
Jun Fang, Yanning Shen, Linxiao Yang, Hongbin Li
Adaptive one-bit quantization for compressed sensing. Signal Process. 125 (2016)
Linxiao Yang, Jun Fang, Hongbin Li, Bing Zeng
An Iterative Reweighted Method for Tucker Decomposition of Incomplete Tensors. IEEE Trans. Signal Process. 64 (18) (2016)
Linxiao Yang, Jun Fang, Hong Cheng, Hongbin Li
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model. CoRR (2015)
Linxiao Yang, Jun Fang, Hongbin Li, Bing Zeng
An Iterative Reweighted Method for Tucker Decomposition of Incomplete Multiway Tensors. CoRR (2015)
Jun Fang, Linxiao Yang, Hongbin Li
Spectral Compressed Sensing via CANDECOMP/PARAFAC Decomposition of Incomplete Tensors. CoRR (2015)