Linxiao Yang - RankMe

58 papers A* 12Misc 6Journal 36Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates. CoRR Linxiao Yang, Xue Jiang, Gezheng Xu, Tian Zhou, Min Yang, Zhaoyang Zhu, Linyuan Geng, Zhipeng Zeng, Qiming Chen, Xinyue Gu, Rong Jin, Liang Sun
2025	A*	`conf`	A Non-isotropic Time Series Diffusion Model with Moving Average Transitions. ICML Chenxi Wang, Linxiao Yang, Zhixian Wang, Liang Sun, Yi Wang
2025	J	`jnl`	Integrated Influence: Data Attribution with Baseline. CoRR Linxiao Yang, Xinyu Gu, Liang Sun
2025	A*	`conf`	Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting. IJCAI Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun
2025	J	`jnl`	ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting. CoRR Ziheng Peng, Shijie Ren, Xinyue Gu, Linxiao Yang, Xiting Wang, Liang Sun
2025	J	`jnl`	SolarBoost: Distributed Photovoltaic Power Forecasting Amid Time-varying Grid Capacity. CoRR Linyuan Geng, Linxiao Yang, Xinyue Gu, Liang Sun
2025	J	`jnl`	TriForecaster: A Mixture of Experts Framework for Multi-Region Electric Load Forecasting with Tri-dimensional Specialization. CoRR Zhaoyang Zhu, Zhipeng Zeng, Qiming Chen, Linxiao Yang, Peiyuan Liu, Weiqi Chen, Liang Sun
2025	—	`conf`	When Interpretability Meets Generalization: Delta-GAM for Robust Extrapolation in Out-of-Distribution Settings. KDD (2) Linxiao Yang, Wenwei Wang, Qiming Chen, Zhipeng Zeng, Liang Sun
2024	A*	`conf`	CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. KDD Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen
2024	J	`jnl`	CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. CoRR Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen
2024	A*	`conf`	Efficient Decision Rule List Learning via Unified Sequence Submodular Optimization. KDD Linxiao Yang, Jingbang Yang, Liang Sun
2024	A*	`conf`	Explain Temporal Black-Box Models via Functional Decomposition. ICML Linxiao Yang, Yunze Tong, Xinyue Gu, Liang Sun
2024	Misc	`conf`	RobustTSVar: A Robust Time Series Variance Estimation Algorithm. ICASSP Zhiqiang Zhou, Linxiao Yang, Qingsong Wen, Liang Sun
2024	—	`conf`	SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice. ICSE Companion Rui Ren, Jingbang Yang, Linxiao Yang, Xinyue Gu, Liang Sun
2024	J	`jnl`	SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice. CoRR Rui Ren, Jingbang Yang, Linxiao Yang, Xinyue Gu, Liang Sun
2024	A*	`conf`	SLIM: a Scalable and Interpretable Light-weight Fault Localization Algorithm for Imbalanced Data in Microservice. ASE Rui Ren, Jingbang Yang, Linxiao Yang, Xinyue Gu, Liang Sun
2024	A*	`conf`	Task-oriented Time Series Imputation Evaluation via Generalized Representers. NeurIPS Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang
2024	J	`jnl`	Task-oriented Time Series Imputation Evaluation via Generalized Representers. CoRR Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang
2023	J	`jnl`	Energy forecasting with robust, flexible, and explainable machine learning algorithms. AI Mag. 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
2023	A*	`conf`	Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting. KDD Linxiao Yang, Rui Ren, Xinyue Gu, Liang Sun
2023	J	`jnl`	Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting. CoRR Linxiao Yang, Rui Ren, Xinyue Gu, Liang Sun
2023	Misc	`conf`	Robust Dominant Periodicity Detection for Time Series with Missing Data. ICASSP Qingsong Wen, Linxiao Yang, Liang Sun
2023	J	`jnl`	Robust Dominant Periodicity Detection for Time Series with Missing Data. CoRR Qingsong Wen, Linxiao Yang, Liang Sun
2023	Misc	`conf`	SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events. ICASSP Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun
2023	J	`jnl`	SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events. CoRR Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun
2022	J	`jnl`	Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach. CoRR Fan Yang, Kai He, Linxiao Yang, Hongxia Du, Jingbang Yang, Bo Yang, Liang Sun
2022	J	`jnl`	NetRCA: An Effective Network Fault Cause Localization Algorithm. CoRR Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun
2022	Misc	`conf`	Netrca: An Effective Network Fault Cause Localization Algorithm. ICASSP Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun
2022	A*	`conf`	Robust Time Series Analysis and Applications: An Industrial Perspective. KDD Qingsong Wen, Linxiao Yang, Tian Zhou, Liang Sun
2021	Misc	`conf`	A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. ICASSP Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun
2021	J	`jnl`	A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. CoRR Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun
2021	A*	`conf`	Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach. NeurIPS Fan Yang, Kai He, Linxiao Yang, Hongxia Du, Jingbang Yang, Bo Yang, Liang Sun
2020	J	`jnl`	Fast Compressed Power Spectrum Estimation: Toward a Practical Solution for Wideband Spectrum Sensing. IEEE Trans. Wirel. Commun. Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li
2020	—	`conf`	Iterative Reweighed Approach for Multiuser Detection with Multiple Measurement Vector in MTC Communications. VTC Spring Xiaoxu Zhang, Li Hao, Pingzhi Fan, Jiaqi Liu, Linxiao Yang
2020	J	`jnl`	Unsupervised Deep Spectrum Sensing: A Variational Auto-Encoder Based Approach. IEEE Trans. Veh. Technol. Jiandong Xie, Jun Fang, Chang Liu, Linxiao Yang
2019	A*	`conf`	Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding. ICCV Linxiao Yang, Ngai-Man Cheung, Jiaying Li, Jun Fang
2019	J	`jnl`	Fast Compressed Power Spectrum Estimation: Towards A Practical Solution for Wideband Spectrum Sensing. CoRR Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li
2019	J	`jnl`	Low-Rank Phase Retrieval via Variational Bayesian Learning. IEEE Access Kaihui Liu, Jiayi Wang, Zhengli Xing, Linxiao Yang, Jun Fang
2019	J	`jnl`	Robust Initialization Estimator and its Application in Solving Quadratic Equations. IEEE Access Kaihui Liu, Linxiao Yang, Jiandong Xie
2019	A*	`conf`	Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. NeurIPS Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung
2019	J	`jnl`	Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. CoRR Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung
2018	J	`jnl`	Fast Low-Rank Bayesian Matrix Completion With Hierarchical Gaussian Prior Models. IEEE Trans. Signal Process. Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li, Bing Zeng
2018	J	`jnl`	Low-Rank Phase Retrieval via Variational Bayesian Learning. CoRR Kaihui Liu, Jiayi Wang, Zhengli Xing, Linxiao Yang, Jun Fang
2018	—	`conf`	Phase Retrieval via a Modified Null Vector Estimator. WCSP Kaihui Liu, Zhengli Xing, Linxiao Yang, Liangtian Wan
2017	J	`jnl`	Fast Inverse-Free Sparse Bayesian Learning via Relaxed Evidence Lower Bound Maximization. IEEE Signal Process. Lett. Huiping Duan, Linxiao Yang, Jun Fang, Hongbin Li
2017	J	`jnl`	Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models. CoRR Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li, Bing Zeng
2017	J	`jnl`	Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems. IEEE J. Sel. Areas Commun. Zhou Zhou, Jun Fang, Linxiao Yang, Hongbin Li, Zhi Chen, Rick S. Blum
2017	J	`jnl`	Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning. CoRR Hang Xiao, Zhengli Xing, Linxiao Yang, Jun Fang, Yanlun Wu
2017	J	`jnl`	Sparse Bayesian dictionary learning with a Gaussian hierarchical model. Signal Process. Linxiao Yang, Jun Fang, Hong Cheng, Hongbin Li
2016	J	`jnl`	Adaptive one-bit quantization for compressed sensing. Signal Process. Jun Fang, Yanning Shen, Linxiao Yang, Hongbin Li
2016	J	`jnl`	An Iterative Reweighted Method for Tucker Decomposition of Incomplete Tensors. IEEE Trans. Signal Process. Linxiao Yang, Jun Fang, Hongbin Li, Bing Zeng
2016	J	`jnl`	Channel Estimation for Millimeter Wave Multiuser MIMO Systems via PARAFAC Decomposition. CoRR Zhou Zhou, Jun Fang, Linxiao Yang, Hongbin Li, Zhi Chen, Shaoqian Li
2016	J	`jnl`	Channel Estimation for Millimeter-Wave Multiuser MIMO Systems via PARAFAC Decomposition. IEEE Trans. Wirel. Commun. Zhou Zhou, Jun Fang, Linxiao Yang, Hongbin Li, Zhi Chen, Shaoqian Li
2016	J	`jnl`	Localized Low-Rank Promoting for Recovery of Block-Sparse Signals With Intrablock Correlation. IEEE Signal Process. Lett. Linxiao Yang, Jun Fang, Hongbin Li, Bing Zeng
2016	Misc	`conf`	Sparse Bayesian dictionary learning with a Gaussian hierarchical model. ICASSP Linxiao Yang, Jun Fang, Hongbin Li
2015	J	`jnl`	An Iterative Reweighted Method for Tucker Decomposition of Incomplete Multiway Tensors. CoRR Linxiao Yang, Jun Fang, Hongbin Li, Bing Zeng
2015	J	`jnl`	Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model. CoRR Linxiao Yang, Jun Fang, Hong Cheng, Hongbin Li
2015	J	`jnl`	Spectral Compressed Sensing via CANDECOMP/PARAFAC Decomposition of Incomplete Tensors. CoRR Jun Fang, Linxiao Yang, Hongbin Li