Liang Sun - RankMe

137 papers A* 40A 7Misc 10Journal 68Unranked 11

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
2026	J	`jnl`	Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction. CoRR Peisong Niu, Haifan Zhang, Yang Zhao, Tian Zhou, Ziqing Ma, Wenqiang Shen, Junping Zhao, Huiling Yuan, Liang Sun
2026	J	`jnl`	Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting. CoRR Ziqing Ma, Kai Ying, Xinyue Gu, Tian Zhou, Tianyu Zhu, Haifan Zhang, Peisong Niu, Zheng Wang, Cong Bai, Liang Sun
2026	A*	`conf`	MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting. AAAI Binqing Wu, Weiqi Chen, Shiyu Liu, Zongjiang Shang, Haiou Wang, Liang Sun, Ling Chen
2026	J	`jnl`	Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling. CoRR Weiqi Chen, Wenwei Wang, Qilong Yuan, Lefei Shen, Bingqing Peng, Jiawei Chen, Bo Wu, Liang Sun
2026	J	`jnl`	Target Concept Tuning Improves Extreme Weather Forecasting. CoRR Shijie Ren, Xinyue Gu, Ziheng Peng, Haifan Zhang, Peisong Niu, Bo Wu, Xiting Wang, Liang Sun, Jirong Wen
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`	Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting. CoRR Yifan Hu, Jie Yang, Tian Zhou, Peiyuan Liu, Yujin Tang, Rong Jin, Liang Sun
2025	J	`jnl`	Deciding When to Use a Personalized Model for Load Forecasting. IEEE Trans. Smart Grid Dalin Qin, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Yi Wang
2025	—	`conf`	Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach. KDD (2) Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Rong Jin, Liang Sun
2025	—	`conf`	EMD-Period: Detecting Multi-periodicity in Industrial Cloud Clusters via Time-Frequency Decomposition. KDD (2) Qiming Chen, Yingying Zhang, Qingsong Wen, Liang Sun
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	Misc	`conf`	Less Is More: Embracing Sparsity and Interpolation with Esiformer for Time Series Forecasting. ICASSP Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian
2025	—	`conf`	Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. KDD (2) Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025	J	`jnl`	Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. CoRR Yingtao Luo, Shikai Fang, Binqing Wu, 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	A	`conf`	SolarMAE: A Unified framework for Regional Centralized and Distributed Solar Power Forecasting with Weather Pre-training. CIKM Jin Wang, Bingqing Peng, Wenwei Wang, Yuanjie Hu, Yuejiang Chen, Peisong Niu, Liang Sun
2025	Misc	`conf`	Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series. ICASSP Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin
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`	Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model. KDD (2) Peisong Niu, Ziqing Ma, Tian Zhou, Weiqi Chen, Lefei Shen, Rong Jin, Liang Sun
2025	J	`jnl`	Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model. CoRR Peisong Niu, Ziqing Ma, Tian Zhou, Weiqi Chen, Lefei Shen, Rong Jin, 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	J	`jnl`	Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. CoRR Yifan Zhang, Weiqi Chen, Zhaoyang Zhu, Dalin Qin, Liang Sun, Xue Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin
2024	A	`conf`	Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud. CIKM Chaoli Zhang, Yingying Zhang, Lanshu Peng, Qingsong Wen, Yiyuan Yang, Chong-Jiong Fan, Minqi Jiang, Lunting Fan, Liang Sun
2024	J	`jnl`	Attention as Robust Representation for Time Series Forecasting. CoRR Peisong Niu, Tian Zhou, Xue Wang, Liang Sun, Rong Jin
2024	A*	`conf`	BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. ICML Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, 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	J	`jnl`	Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts. CoRR Dalin Qin, Yehui Li, Weiqi Chen, Zhaoyang Zhu, Qingsong Wen, Liang Sun, Pierre Pinson, Yi Wang
2024	A*	`conf`	Explain Temporal Black-Box Models via Functional Decomposition. ICML Linxiao Yang, Yunze Tong, Xinyue Gu, Liang Sun
2024	J	`jnl`	Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads. IEEE Trans. Smart Grid Nan Lu, Shu Liu, Qingsong Wen, Qiming Chen, Liang Sun, Yi Wang
2024	A*	`conf`	FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. KDD Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin
2024	J	`jnl`	FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. CoRR Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin
2024	J	`jnl`	GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network. CoRR Weiqi Chen, Zhiqiang Zhou, Qingsong Wen, Liang Sun
2024	J	`jnl`	Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting. CoRR Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian
2024	J	`jnl`	Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization. CoRR Yizhen Guo, Tian Zhou, Wanyi Jiang, Bo Wu, Liang Sun, Rong Jin
2024	J	`jnl`	Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting. CoRR Peiyuan Liu, Tian Zhou, Liang Sun, Rong Jin
2024	A*	`conf`	RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. ICLR Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun
2024	J	`jnl`	RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. CoRR Hao Cheng, Qingsong Wen, Yang Liu, 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	Misc	`conf`	Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. ICASSP Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu
2024	J	`jnl`	Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting. CoRR Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin
2024	A	`conf`	Stable Synthetic Control with Anomaly Detection for Causal Inference. SDM Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen
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
2024	A*	`conf`	WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction. IJCAI Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen
2023	A*	`conf`	AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. AAAI Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang
2023	J	`jnl`	AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. CoRR Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang
2023	J	`jnl`	BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition. CoRR Shikai Fang, Qingsong Wen, Shandian Zhe, Liang Sun
2023	J	`jnl`	Benchmarks and Custom Package for Electrical Load Forecasting. CoRR Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Leandro Von Krannichfeldt, Yi Wang
2023	A*	`conf`	DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. KDD Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2023	J	`jnl`	DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. CoRR Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2023	J	`jnl`	DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling. CoRR Pengwei Liu, Wenwei Wang, Bingqing Peng, Binqing Wu, Liang Sun
2023	J	`jnl`	DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model. CoRR Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, 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	J	`jnl`	GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. CoRR Yanjun Zhao, Ziqing Ma, Tian Zhou, Liang Sun, Mengni Ye, Yi Qian
2023	A	`conf`	GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. CIKM Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian
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	A*	`conf`	One Fits All: Power General Time Series Analysis by Pretrained LM. NeurIPS Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
2023	J	`jnl`	One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors. CoRR Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
2023	A*	`conf`	OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. NeurIPS Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. CoRR Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings. IEEE Trans. Smart Grid Dalin Qin, Chenxi Wang, Qingsong Wen, Weiqi Chen, Liang Sun, Yi Wang
2023	J	`jnl`	Power Time Series Forecasting by Pretrained LM. CoRR Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
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`	SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting. CoRR Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin
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
2023	A*	`conf`	Transformers in Time Series: A Survey. IJCAI Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
2023	J	`jnl`	WeatherGNN: Exploiting Complicated Relationships in Numerical Weather Prediction Bias Correction. CoRR Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen
2023	A*	`conf`	eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms. AAAI Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun
2022	A*	`conf`	A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data. AAAI Yan Li, Rui Xia, Chunchen Liu, Liang Sun
2022	A*	`conf`	FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. ICML Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin
2022	J	`jnl`	FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. CoRR Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin
2022	A*	`conf`	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. NeurIPS Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin
2022	J	`jnl`	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. CoRR Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin
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	A*	`conf`	Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting. KDD Weiqi Chen, Wenwei Wang, Bingqing Peng, Qingsong Wen, Tian Zhou, 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
2022	A	`conf`	Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. CIKM Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun
2022	J	`jnl`	Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. CoRR Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun
2022	A*	`conf`	RobustScaler: QoS-Aware Autoscaling for Complex Workloads. ICDE Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang
2022	J	`jnl`	RobustScaler: QoS-Aware Autoscaling for Complex Workloads. CoRR Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang
2022	A	`conf`	TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. CIKM Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2022	J	`jnl`	TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. CoRR Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2022	A*	`conf`	Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. NeurIPS Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
2022	J	`jnl`	Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. CoRR Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
2022	J	`jnl`	Transformers in Time Series: A Survey. CoRR Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
2022	J	`jnl`	TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting. CoRR Tian Zhou, Jianqing Zhu, Xue Wang, Ziqing Ma, Qingsong Wen, Liang Sun, Rong Jin
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`	CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. CIKM Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke
2021	J	`jnl`	CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. CoRR Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke
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
2021	—	`conf`	RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection. SIGMOD Conference Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu
2021	A*	`conf`	Time Series Data Augmentation for Deep Learning: A Survey. IJCAI Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
2021	Misc	`conf`	Two-Stage Framework for Seasonal Time Series Forecasting. ICASSP Qingyang Xu, Qingsong Wen, Liang Sun
2021	J	`jnl`	Two-Stage Framework for Seasonal Time Series Forecasting. CoRR Qingyang Xu, Qingsong Wen, Liang Sun
2020	A*	`conf`	Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns. KDD Qingsong Wen, Zhe Zhang, Yan Li, Liang Sun
2020	Misc	`conf`	On Robust Variance Filtering and Change of Variance Detection. ICASSP Qingsong Wen, Zhengzhi Ma, Liang Sun
2020	J	`jnl`	RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection. CoRR Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu
2020	J	`jnl`	RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. CoRR Jingkun Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu
2020	J	`jnl`	Time Series Data Augmentation for Deep Learning: A Survey. CoRR Qingsong Wen, Liang Sun, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
2019	A*	`conf`	Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. KDD Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin
2019	J	`jnl`	Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. CoRR Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin
2019	A*	`conf`	RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. AAAI Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
2019	A*	`conf`	RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. IJCAI Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan
2019	J	`jnl`	RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. CoRR Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan
2019	A*	`conf`	Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. AAAI Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
2019	J	`jnl`	Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee. CoRR Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
2018	J	`jnl`	RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. CoRR Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
2011	J	`jnl`	Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Liang Sun, Shuiwang Ji, Jieping Ye
2011	—	`—`	Multi-Label Dimensionality Reduction. Liang Sun
2011	—	`conf`	Projection onto A Nonnegative Max-Heap. NIPS Jun Liu, Liang Sun, Jieping Ye
2010	A*	`conf`	A scalable two-stage approach for a class of dimensionality reduction techniques. KDD Liang Sun, Betul Ceran, Jieping Ye
2010	J	`jnl`	Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation. NeuroImage Shuai Huang, Jing Li, Liang Sun, Jieping Ye, Adam Fleisher, Teresa Wu, Kewei Chen, Eric Reiman
2009	A*	`conf`	A least squares formulation for a class of generalized eigenvalue problems in machine learning. ICML Liang Sun, Shuiwang Ji, Jieping Ye
2009	—	`conf`	Efficient Recovery of Jointly Sparse Vectors. NIPS Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye
2009	—	`conf`	Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data. NIPS Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye
2009	A*	`conf`	Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. KDD Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye
2009	A*	`conf`	Multiclass Probabilistic Kernel Discriminant Analysis. IJCAI Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye
2009	A*	`conf`	On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. IJCAI Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye
2008	A*	`conf`	A least squares formulation for canonical correlation analysis. ICML Liang Sun, Shuiwang Ji, Jieping Ye
2008	J	`jnl`	Adaptive diffusion kernel learning from biological networks for protein function prediction. BMC Bioinform. Liang Sun, Shuiwang Ji, Jieping Ye
2008	J	`jnl`	Automated annotation of Bioinform. Shuiwang Ji, Liang Sun, Rong Jin, Sudhir Kumar, Jieping Ye
2008	A*	`conf`	Hypergraph spectral learning for multi-label classification. KDD Liang Sun, Shuiwang Ji, Jieping Ye
2008	—	`conf`	Multi-label Multiple Kernel Learning. NIPS Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye