A least squares formulation for canonical correlation analysis. - Liang Sun 001; Shuiwang Ji; Jieping Ye (ICML, 2008)

Hypergraph spectral learning for multi-label classification. - Liang Sun 001; Shuiwang Ji; Jieping Ye (KDD, 2008)

Multi-label Multiple Kernel Learning. - Shuiwang Ji; Liang Sun 001; Rong Jin 001; Jieping Ye (NIPS, 2008)

Automated annotation of Drosophila gene expression patterns using a controlled vocabulary. - Shuiwang Ji; Liang Sun 001; Rong Jin 001; Sudhir Kumar 001; Jieping Ye (Bioinform., 2008)

Adaptive diffusion kernel learning from biological networks for protein function prediction. - Liang Sun 001; Shuiwang Ji; Jieping Ye (BMC Bioinform., 2008)

A least squares formulation for a class of generalized eigenvalue problems in machine learning. - Liang Sun 001; Shuiwang Ji; Jieping Ye (ICML, 2009)

On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. - Liang Sun 001; Shuiwang Ji; Shipeng Yu; Jieping Ye (IJCAI, 2009)

Multiclass Probabilistic Kernel Discriminant Analysis. - Zheng Zhao 002; Liang Sun 001; Shipeng Yu; Huan Liu 001; Jieping Ye (IJCAI, 2009)

Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. - Liang Sun 001; Rinkal Patel; Jun Liu 003; Kewei Chen 001; Teresa Wu; Jing Li 016; Eric Reiman; Jieping Ye (KDD, 2009)

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data. - Shuai Huang 001; Jing Li 016; Liang Sun 001; Jun Liu 003; Teresa Wu; Kewei Chen 001; Adam Fleisher; Eric Reiman; Jieping Ye (NIPS, 2009)

Efficient Recovery of Jointly Sparse Vectors. - Liang Sun 001; Jun Liu 003; Jianhui Chen; Jieping Ye (NIPS, 2009)

A scalable two-stage approach for a class of dimensionality reduction techniques. - Liang Sun 001; Betul Ceran; Jieping Ye (KDD, 2010)

Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation. - Shuai Huang 001; Jing Li 016; Liang Sun 001; Jieping Ye; Adam Fleisher; Teresa Wu; Kewei Chen 001; Eric Reiman (NeuroImage, 2010)

Projection onto A Nonnegative Max-Heap. - Jun Liu 003; Liang Sun 001; Jieping Ye (NIPS, 2011)

Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis. - Liang Sun 001; Shuiwang Ji; Jieping Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Multi-Label Dimensionality Reduction. - Liang Sun 001 (2011)

Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. - Ming Lin 002; Shuang Qiu; Jieping Ye; Xiaomin Song; Qi Qian 001; Liang Sun 001; Shenghuo Zhu; Rong Jin 001 (AAAI, 2019)

RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. - Qingsong Wen; Jingkun Gao; Xiaomin Song; Liang Sun 001; Huan Xu 001; Shenghuo Zhu (AAAI, 2019)

RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. - Qingsong Wen; Jingkun Gao; Xiaomin Song; Liang Sun 001; Jian Tan (IJCAI, 2019)

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. - Ming Lin 002; Xiaomin Song; Qi Qian 001; Hao Li 030; Liang Sun 001; Shenghuo Zhu; Rong Jin 001 (KDD, 2019)

On Robust Variance Filtering and Change of Variance Detection. - Qingsong Wen; Zhengzhi Ma; Liang Sun 001 (ICASSP, 2020)

Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns. - Qingsong Wen; Zhe Zhang; Yan Li 052; Liang Sun 001 (KDD, 2020)

RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection. - Qingsong Wen; Kai He; Liang Sun 001; Yingying Zhang; Min Ke; Huan Xu 001 (CoRR, 2020)

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. - Jingkun Gao; Xiaomin Song; Qingsong Wen; Pichao Wang; Liang Sun 001; Huan Xu 001 (CoRR, 2020)

Time Series Data Augmentation for Deep Learning: A Survey. - Qingsong Wen; Liang Sun 001; Xiaomin Song; Jingkun Gao; Xue Wang 010; Huan Xu 001 (CoRR, 2020)

CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. - Yingying Zhang; Zhengxiong Guan; Huajie Qian; Leili Xu; Hengbo Liu; Qingsong Wen; Liang Sun 001; Junwei Jiang; Lunting Fan; Min Ke (CIKM, 2021)

Two-Stage Framework for Seasonal Time Series Forecasting. - Qingyang Xu; Qingsong Wen; Liang Sun 001 (ICASSP, 2021)

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

Time Series Data Augmentation for Deep Learning: A Survey. - Qingsong Wen; Liang Sun 001; Fan Yang 094; Xiaomin Song; Jingkun Gao; Xue Wang 010; Huan Xu 001 (IJCAI, 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)

RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection. - Qingsong Wen; Kai He; Liang Sun 001; Yingying Zhang; Min Ke; Huan Xu 001 (SIGMOD Conference, 2021)

A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data. - Yan Li 052; Rui Xia; Chunchen Liu; Liang Sun 001 (AAAI, 2022)

Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. - Xiaomin Song; Qingsong Wen; Yan Li 052; Liang Sun 001 (CIKM, 2022)

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. - Chaoli Zhang 001; Tian Zhou 004; Qingsong Wen; Liang Sun 001 (CIKM, 2022)

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)

RobustScaler: QoS-Aware Autoscaling for Complex Workloads. - Huajie Qian; Qingsong Wen; Liang Sun 001; Jing Gu; Qiulin Niu; Zhimin Tang (ICDE, 2022)

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. - Tian Zhou 004; Ziqing Ma; Qingsong Wen; Xue Wang 010; Liang Sun 001; Rong Jin 001 (ICML, 2022)

Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting. - Weiqi Chen; Wenwei Wang; Bingqing Peng; Qingsong Wen; Tian Zhou 004; Liang Sun 001 (KDD, 2022)

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

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. - Chenxiao Yang; Qitian Wu; Qingsong Wen; Zhiqiang Zhou; Liang Sun 001; Junchi Yan (NeurIPS, 2022)

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. - Tian Zhou 004; Ziqing Ma; Xue Wang 010; Qingsong Wen; Liang Sun 001; Tao Yao; Wotao Yin; Rong Jin 001 (NeurIPS, 2022)

TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting. - Tian Zhou 004; Jianqing Zhu; Xue Wang 010; Ziqing Ma; Qingsong Wen; Liang Sun 001; Rong Jin 001 (CoRR, 2022)

AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. - Zhiqiang Zhou; Chaoli Zhang 001; Lingna Ma; Jing Gu; Huajie Qian; Qingsong Wen; Liang Sun 001; Peng Li; Zhimin Tang (AAAI, 2023)

eForecaster: Unifying Electricity 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; Qingsong Wen; Liang Sun 001 (AAAI, 2023)

GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. - Yanjun Zhao; Ziqing Ma; Tian Zhou 004; Mengni Ye; Liang Sun 001; Yi Qian 004 (CIKM, 2023)

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)

Transformers in Time Series: A Survey. - Qingsong Wen; Tian Zhou 004; Chaoli Zhang 001; Weiqi Chen; Ziqing Ma; Junchi Yan; Liang Sun 001 (IJCAI, 2023)

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

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. - Yiyuan Yang; Chaoli Zhang 001; Tian Zhou 004; Qingsong Wen; Liang Sun 001 (KDD, 2023)

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. - Yifan Zhang 004; Qingsong Wen; Xue Wang 010; Weiqi Chen; Liang Sun 001; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (NeurIPS, 2023)

One Fits All: Power General Time Series Analysis by Pretrained LM. - Tian Zhou 004; Peisong Niu; Xue Wang 010; Liang Sun 001; Rong Jin 001 (NeurIPS, 2023)

Power Time Series Forecasting by Pretrained LM. - Tian Zhou 004; Peisong Niu; Xue Wang 010; Liang Sun 001; Rong Jin 001 (CoRR, 2023)

DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model. - Zhixian Wang; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Yi Wang 022 (CoRR, 2023)

GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. - Yanjun Zhao; Ziqing Ma; Tian Zhou 004; Liang Sun 001; Mengni Ye; Yi Qian 004 (CoRR, 2023)

Benchmarks and Custom Package for Electrical Load Forecasting. - Zhixian Wang; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Leandro Von Krannichfeldt; Yi Wang 022 (CoRR, 2023)

BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition. - Shikai Fang; Qingsong Wen; Shandian Zhe; Liang Sun 001 (CoRR, 2023)

WeatherGNN: Exploiting Complicated Relationships in Numerical Weather Prediction Bias Correction. - Binqing Wu; Weiqi Chen; Wengwei Wang; Bingqing Peng; Liang Sun 001; Ling Chen 001 (CoRR, 2023)

One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors. - Tian Zhou 004; Peisong Niu; Xue Wang 010; Liang Sun 001; Rong Jin 001 (CoRR, 2023)

SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting. - Chao Chen; Tian Zhou 004; Yanjun Zhao; Hui Liu 023; Liang Sun 001; Rong Jin 001 (CoRR, 2023)

DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling. - Pengwei Liu; Wenwei Wang; Bingqing Peng; Binqing Wu; Liang Sun 001 (CoRR, 2023)

Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings. - Dalin Qin; Chenxi Wang; Qingsong Wen; Weiqi Chen; Liang Sun 001; Yi Wang 022 (IEEE Trans. Smart Grid, 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)

Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud. - Chaoli Zhang 001; Yingying Zhang; Lanshu Peng; Qingsong Wen; Yiyuan Yang; Chong-Jiong Fan; Minqi Jiang; Lunting Fan; Liang Sun 001 (CIKM, 2024)

Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Yong Liu 007 (ICASSP, 2024)

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

RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. - Hao Cheng 005; Qingsong Wen; Yang Liu 018; Liang Sun 001 (ICLR, 2024)

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. - Shikai Fang; Qingsong Wen; Yingtao Luo; Shandian Zhe; Liang Sun 001 (ICML, 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)

WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction. - Binqing Wu; Weiqi Chen; Wengwei Wang; Bingqing Peng; Liang Sun 001; Ling Chen 001 (IJCAI, 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)

FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. - Ziqing Ma; Wenwei Wang; Tian Zhou 004; Chao Chen; Bingqing Peng; Liang Sun 001; Rong Jin 001 (KDD, 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)

Stable Synthetic Control with Anomaly Detection for Causal Inference. - Qiang Li; Yiqiao Sun; Linsey Pang; Liang Sun 001; Qingsong Wen (SDM, 2024)

Attention as Robust Representation for Time Series Forecasting. - Peisong Niu; Tian Zhou 004; Xue Wang 010; Liang Sun 001; Rong Jin 001 (CoRR, 2024)

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting. - Yanjun Zhao; Tian Zhou 004; Chao Chen; Liang Sun 001; Yi Qian 004; Rong Jin 001 (CoRR, 2024)

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. - Yifan Zhang 004; Weiqi Chen; Zhaoyang Zhu; Dalin Qin; Liang Sun 001; Xue Wang 010; Qingsong Wen; Zhang Zhang 001; Liang Wang 001; Rong Jin 001 (CoRR, 2024)

Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts. - Dalin Qin; Yehui Li; Weiqi Chen; Zhaoyang Zhu; Qingsong Wen; Liang Sun 001; Pierre Pinson; Yi Wang 022 (CoRR, 2024)

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting. - Peiyuan Liu; Tian Zhou 004; Liang Sun 001; Rong Jin 001 (CoRR, 2024)

GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network. - Weiqi Chen; Zhiqiang Zhou; Qingsong Wen; Liang Sun 001 (CoRR, 2024)

Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads. - Nan Lu; Shu Liu; Qingsong Wen; Qiming Chen; Liang Sun 001; Yi Wang 022 (IEEE Trans. Smart Grid, 2024)

Less Is More: Embracing Sparsity and Interpolation with Esiformer for Time Series Forecasting. - Yangyang Guo; Yanjun Zhao; Sizhe Dang; Tian Zhou 004; Liang Sun 001; Yi Qian 004 (ICASSP, 2025)

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series. - Yanjun Zhao; Tian Zhou 004; Chao Chen; Liang Sun 001; Yi Qian 004; Rong Jin 001 (ICASSP, 2025)

Deciding When to Use a Personalized Model for Load Forecasting. - Dalin Qin; Qingsong Wen; Zhiqiang Zhou; Liang Sun 001; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model. - Peisong Niu; Ziqing Ma; Tian Zhou 004; Weiqi Chen; Lefei Shen; Rong Jin 001; Liang Sun 001 (CoRR, 2025)

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. - Yingtao Luo; Shikai Fang; Binqing Wu; Qingsong Wen; Liang Sun 001 (CoRR, 2025)

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)