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Linxiao Yang
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2020 – today
- 2024
- [c18]Zhiqiang Zhou, Linxiao Yang, Qingsong Wen, Liang Sun:
RobustTSVar: A Robust Time Series Variance Estimation Algorithm. ICASSP 2024: 161-165 - [c17]Linxiao Yang, Yunze Tong, Xinyue Gu, Liang Sun:
Explain Temporal Black-Box Models via Functional Decomposition. ICML 2024 - [c16]Rui Ren
, Jingbang Yang
SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice. ICSE Companion 2024: 328-330 - [c15]Rui Ren, Jingbang Yang, Linxiao Yang, Xinyue Gu, Liang Sun:
SLIM: a Scalable and Interpretable Light-weight Fault Localization Algorithm for Imbalanced Data in Microservice. ASE 2024: 27-39 - [c14]Linxiao Yang
Efficient Decision Rule List Learning via Unified Sequence Submodular Optimization. KDD 2024: 3758-3769 - [c13]Jiehui Zhou
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. KDD 2024: 4619-4630 - [i18]Rui Ren, Jingbang Yang, Linxiao Yang, Xinyue Gu, Liang Sun:
SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice. CoRR abs/2405.20848 (2024) - [i17]Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen:
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. CoRR abs/2407.01004 (2024) - [i16]Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang:
Task-oriented Time Series Imputation Evaluation via Generalized Representers. CoRR abs/2410.06652 (2024) - 2023
- [j13]Zhaoyang Zhu
Energy forecasting with robust, flexible, and explainable machine learning algorithms. AI Mag. 44(4): 377-393 (2023) - [c12]Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou
SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events. ICASSP 2023: 1-5 - [c11]Qingsong Wen
Robust Dominant Periodicity Detection for Time Series with Missing Data. ICASSP 2023: 1-5 - [c10]Linxiao Yang
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting. KDD 2023: 5393-5403 - [i15]Qingsong Wen
Robust Dominant Periodicity Detection for Time Series with Missing Data. CoRR abs/2303.03553 (2023) - [i14]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 abs/2306.08299 (2023) - [i13]Linxiao Yang, Rui Ren, Xinyue Gu, Liang Sun:
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting. CoRR abs/2310.15662 (2023) - 2022
- [c9]Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang
Netrca: An Effective Network Fault Cause Localization Algorithm. ICASSP 2022: 9316-9320 - [c8]Qingsong Wen
Robust Time Series Analysis and Applications: An Industrial Perspective. KDD 2022: 4836-4837 - [i12]Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun:
NetRCA: An Effective Network Fault Cause Localization Algorithm. CoRR abs/2202.11269 (2022) - [i11]Fan Yang, Kai He, Linxiao Yang
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach. CoRR abs/2206.03718 (2022) - 2021
- [c7]Linxiao Yang
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. ICASSP 2021: 5085-5089 - [c6]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: 27890-27902 - [i10]Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun:
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. CoRR abs/2109.08800 (2021) - 2020
- [j12]Jiandong Xie
Unsupervised Deep Spectrum Sensing: A Variational Auto-Encoder Based Approach. IEEE Trans. Veh. Technol. 69(5): 5307-5319 (2020) - [j11]Linxiao Yang
Fast Compressed Power Spectrum Estimation: Toward a Practical Solution for Wideband Spectrum Sensing. IEEE Trans. Wirel. Commun. 19(1): 520-532 (2020) - [c5]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: 1-5
2010 – 2019
- 2019
- [j10]Kaihui Liu
Low-Rank Phase Retrieval via Variational Bayesian Learning. IEEE Access 7: 5642-5648 (2019) - [j9]Kaihui Liu
Robust Initialization Estimator and its Application in Solving Quadratic Equations. IEEE Access 7: 62433-62442 (2019) - [c4]Linxiao Yang
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding. ICCV 2019: 6439-6448 - [c3]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: 13232-13243 - [i9]Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li:
Fast Compressed Power Spectrum Estimation: Towards A Practical Solution for Wideband Spectrum Sensing. CoRR abs/1903.09918 (2019) - [i8]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 abs/1911.06997 (2019) - 2018
- [j8]Linxiao Yang
Fast Low-Rank Bayesian Matrix Completion With Hierarchical Gaussian Prior Models. IEEE Trans. Signal Process. 66(11): 2804-2817 (2018) - [c2]Kaihui Liu
Phase Retrieval via a Modified Null Vector Estimator. WCSP 2018: 1-6 - [i7]Kaihui Liu, Jiayi Wang, Zhengli Xing, Linxiao Yang, Jun Fang:
Low-Rank Phase Retrieval via Variational Bayesian Learning. CoRR abs/1811.01574 (2018) - 2017
- [j7]Zhou Zhou, Jun Fang, Linxiao Yang
Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems. IEEE J. Sel. Areas Commun. 35(7): 1524-1538 (2017) - [j6]Linxiao Yang
Sparse Bayesian dictionary learning with a Gaussian hierarchical model. Signal Process. 130: 93-104 (2017) - [j5]Huiping Duan, Linxiao Yang
Fast Inverse-Free Sparse Bayesian Learning via Relaxed Evidence Lower Bound Maximization. IEEE Signal Process. Lett. 24(6): 774-778 (2017) - [i6]Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li, Bing Zeng:
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models. CoRR abs/1708.02455 (2017) - [i5]Hang Xiao, Zhengli Xing, Linxiao Yang, Jun Fang, Yanlun Wu:
Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning. CoRR abs/1711.01790 (2017) - 2016
- [j4]Jun Fang, Yanning Shen
Adaptive one-bit quantization for compressed sensing. Signal Process. 125: 145-155 (2016) - [j3]Linxiao Yang
Localized Low-Rank Promoting for Recovery of Block-Sparse Signals With Intrablock Correlation. IEEE Signal Process. Lett. 23(10): 1399-1403 (2016) - [j2]Linxiao Yang
An Iterative Reweighted Method for Tucker Decomposition of Incomplete Tensors. IEEE Trans. Signal Process. 64(18): 4817-4829 (2016) - [j1]Zhou Zhou, Jun Fang
Channel Estimation for Millimeter-Wave Multiuser MIMO Systems via PARAFAC Decomposition. IEEE Trans. Wirel. Commun. 15(11): 7501-7516 (2016) - [c1]Linxiao Yang
Sparse Bayesian dictionary learning with a Gaussian hierarchical model. ICASSP 2016: 2564-2568 - [i4]Zhou Zhou, Jun Fang, Linxiao Yang, Hongbin Li, Zhi Chen, Shaoqian Li:
Channel Estimation for Millimeter Wave Multiuser MIMO Systems via PARAFAC Decomposition. CoRR abs/1602.07955 (2016) - 2015
- [i3]Linxiao Yang, Jun Fang, Hong Cheng, Hongbin Li:
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model. CoRR abs/1503.02144 (2015) - [i2]Linxiao Yang, Jun Fang, Hongbin Li, Bing Zeng:
An Iterative Reweighted Method for Tucker Decomposition of Incomplete Multiway Tensors. CoRR abs/1511.04695 (2015) - [i1]Jun Fang, Linxiao Yang, Hongbin Li:
Spectral Compressed Sensing via CANDECOMP/PARAFAC Decomposition of Incomplete Tensors. CoRR abs/1512.03224 (2015)
Coauthor Index
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