Spectral Compressed Sensing via CANDECOMP/PARAFAC Decomposition of Incomplete Tensors. - Jun Fang 001; Linxiao Yang; Hongbin Li 001 (CoRR, 2015)

An Iterative Reweighted Method for Tucker Decomposition of Incomplete Multiway Tensors. - Linxiao Yang; Jun Fang 001; Hongbin Li 001; Bing Zeng (CoRR, 2015)

Sparse Bayesian dictionary learning with a Gaussian hierarchical model. - Linxiao Yang; Jun Fang 001; Hongbin Li 001 (ICASSP, 2016)

Adaptive one-bit quantization for compressed sensing. - Jun Fang 001; Yanning Shen; Linxiao Yang; Hongbin Li 001 (Signal Process., 2016)

Localized Low-Rank Promoting for Recovery of Block-Sparse Signals With Intrablock Correlation. - Linxiao Yang; Jun Fang 001; Hongbin Li 001; Bing Zeng (IEEE Signal Process. Lett., 2016)

An Iterative Reweighted Method for Tucker Decomposition of Incomplete Tensors. - Linxiao Yang; Jun Fang 001; Hongbin Li 001; Bing Zeng (IEEE Trans. Signal Process., 2016)

Channel Estimation for Millimeter-Wave Multiuser MIMO Systems via PARAFAC Decomposition. - Zhou Zhou 018; Jun Fang 001; Linxiao Yang; Hongbin Li 001; Zhi Chen 002; Shaoqian Li (IEEE Trans. Wirel. Commun., 2016)

Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning. - Hang Xiao; Zhengli Xing; Linxiao Yang; Jun Fang 001; Yanlun Wu (CoRR, 2017)

Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems. - Zhou Zhou 018; Jun Fang 001; Linxiao Yang; Hongbin Li 001; Zhi Chen 002; Rick S. Blum (IEEE J. Sel. Areas Commun., 2017)

Sparse Bayesian dictionary learning with a Gaussian hierarchical model. - Linxiao Yang; Jun Fang 001; Hong Cheng 002; Hongbin Li 001 (Signal Process., 2017)

Fast Inverse-Free Sparse Bayesian Learning via Relaxed Evidence Lower Bound Maximization. - Huiping Duan; Linxiao Yang; Jun Fang 001; Hongbin Li 001 (IEEE Signal Process. Lett., 2017)

Phase Retrieval via a Modified Null Vector Estimator. - Kaihui Liu; Zhengli Xing; Linxiao Yang; Liangtian Wan (WCSP, 2018)

Fast Low-Rank Bayesian Matrix Completion With Hierarchical Gaussian Prior Models. - Linxiao Yang; Jun Fang 001; Huiping Duan; Hongbin Li 001; Bing Zeng (IEEE Trans. Signal Process., 2018)

Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding. - Linxiao Yang; Ngai-Man Cheung; Jiaying Li 001; Jun Fang 001 (ICCV, 2019)

Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. - Ngoc-Trung Tran; Viet-Hung Tran; Ngoc-Bao Nguyen; Linxiao Yang; Ngai-Man Cheung (NeurIPS, 2019)

Low-Rank Phase Retrieval via Variational Bayesian Learning. - Kaihui Liu; Jiayi Wang; Zhengli Xing; Linxiao Yang; Jun Fang 001 (IEEE Access, 2019)

Robust Initialization Estimator and its Application in Solving Quadratic Equations. - Kaihui Liu; Linxiao Yang; Jiandong Xie (IEEE Access, 2019)

Fast Compressed Power Spectrum Estimation: Towards A Practical Solution for Wideband Spectrum Sensing. - Linxiao Yang; Jun Fang 001; Huiping Duan; Hongbin Li 001 (CoRR, 2019)

Iterative Reweighed Approach for Multiuser Detection with Multiple Measurement Vector in MTC Communications. - Xiaoxu Zhang; Li Hao; Pingzhi Fan; Jiaqi Liu; Linxiao Yang (VTC Spring, 2020)

Unsupervised Deep Spectrum Sensing: A Variational Auto-Encoder Based Approach. - Jiandong Xie; Jun Fang 001; Chang Liu 003; Linxiao Yang (IEEE Trans. Veh. Technol., 2020)

Fast Compressed Power Spectrum Estimation: Toward a Practical Solution for Wideband Spectrum Sensing. - Linxiao Yang; Jun Fang 001; Huiping Duan; Hongbin Li 001 (IEEE Trans. Wirel. Commun., 2020)

A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. - Linxiao Yang; Qingsong Wen; Bo Yang 045; Liang Sun 001 (ICASSP, 2021)

Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach. - Fan Yang 094; Kai He; Linxiao Yang; Hongxia Du; Jingbang Yang; Bo Yang 045; Liang Sun 001 (NeurIPS, 2021)

Netrca: An Effective Network Fault Cause Localization Algorithm. - Chaoli Zhang 001; Zhiqiang Zhou; Yingying Zhang; Linxiao Yang; Kai He; Qingsong Wen; Liang Sun 001 (ICASSP, 2022)

Robust Time Series Analysis and Applications: An Industrial Perspective. - Qingsong Wen; Linxiao Yang; Tian Zhou 004; Liang Sun 001 (KDD, 2022)

SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events. - Hengbo Liu; Ziqing Ma; Linxiao Yang; Tian Zhou 004; Rui Xia; Yi Wang 022; Qingsong Wen; Liang Sun 001 (ICASSP, 2023)

Robust Dominant Periodicity Detection for Time Series with Missing Data. - Qingsong Wen; Linxiao Yang; Liang Sun 001 (ICASSP, 2023)

Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting. - Linxiao Yang; Rui Ren; Xinyue Gu; Liang Sun 001 (KDD, 2023)

Energy forecasting with robust, flexible, and explainable machine learning algorithms. - Zhaoyang Zhu; Weiqi Chen; Rui Xia; Tian Zhou 004; Peisong Niu; Bingqing Peng; Wenwei Wang; Hengbo Liu; Ziqing Ma; Xinyue Gu; Jin Wang; Qiming Chen; et al. (AI Mag., 2023)

RobustTSVar: A Robust Time Series Variance Estimation Algorithm. - Zhiqiang Zhou; Linxiao Yang; Qingsong Wen; Liang Sun 001 (ICASSP, 2024)

Explain Temporal Black-Box Models via Functional Decomposition. - Linxiao Yang; Yunze Tong; Xinyue Gu; Liang Sun 001 (ICML, 2024)

SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice. - Rui Ren; Jingbang Yang; Linxiao Yang; Xinyue Gu; Liang Sun 001 (ICSE Companion, 2024)

SLIM: a Scalable and Interpretable Light-weight Fault Localization Algorithm for Imbalanced Data in Microservice. - Rui Ren; Jingbang Yang; Linxiao Yang; Xinyue Gu; Liang Sun 001 (ASE, 2024)

Efficient Decision Rule List Learning via Unified Sequence Submodular Optimization. - Linxiao Yang; Jingbang Yang; Liang Sun 001 (KDD, 2024)

CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. - Jiehui Zhou; Linxiao Yang; Xingyu Liu 003; Xinyue Gu; Liang Sun 001; Wei Chen 001 (KDD, 2024)

Task-oriented Time Series Imputation Evaluation via Generalized Representers. - Zhixian Wang; Linxiao Yang; Liang Sun 001; Qingsong Wen; Yi Wang 022 (NeurIPS, 2024)

Integrated Influence: Data Attribution with Baseline. - Linxiao Yang; Xinyu Gu; Liang Sun 001 (CoRR, 2025)

TriForecaster: A Mixture of Experts Framework for Multi-Region Electric Load Forecasting with Tri-dimensional Specialization. - Zhaoyang Zhu; Zhipeng Zeng; Qiming Chen; Linxiao Yang; Peiyuan Liu; Weiqi Chen; Liang Sun 001 (CoRR, 2025)