Sun, Liang

39 publications

ICLR 2026 Bridging past and Future: Distribution-Aware Alignment for Time Series Forecasting Yifan Hu, Jie Yang, Tian Zhou, Peiyuan Liu, Yujin Tang, Rong Jin, Liang Sun

ICLR 2026 DeepPrim: A Physics-Driven 3D Short-Term Weather Forecaster via Primitive Equation Learning Jiawei Chen, Weiqi Chen, Rong Hu, Peiyuan Liu, Haifan Zhang, Liang Sun

ICLR 2026 ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting Ziheng Peng, Shijie Ren, Xinyue Gu, Linxiao Yang, Xiting Wang, Liang Sun

ICLR 2026 Spike-Based Digital Brain: A Novel Fundamental Model for Brain Activity Analysis Shaolong Wei, Qiyu Sun, Mingliang Wang, Liang Sun, Weiping Ding, Jiashuang Huang

ICML 2025 A Non-Isotropic Time Series Diffusion Model with Moving Average Transitions Chenxi Wang, Linxiao Yang, Zhixian Wang, Liang Sun, Yi Wang

ICLR 2025 DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance Liang Sun, Yang Zhang, Weizhao He, Jiajun Wen, Linlin Shen, Weicheng Xie

IJCAI 2025 Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Kamal Acharya, Iman Sharifi, Mehul Lad, Liang Sun, Houbing Song

IJCAI 2025 Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun

IJCAI 2025 SCNNs: Spike-Based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain Shaolong Wei, Shu Jiang, Mingliang Wang, Liang Sun, Haonan Rao, Weiping Ding, Jiashuang Huang

CVPR 2024 APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation Weizhao He, Yang Zhang, Wei Zhuo, Linlin Shen, Jiaqi Yang, Songhe Deng, Liang Sun

ICML 2024 BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun

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

ICLR 2024 RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun

NeurIPS 2024 Task-Oriented Time Series Imputation Evaluation via Generalized Representers Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang

IJCAI 2024 WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen

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

NeurIPS 2023 One Fits All: Power General Time Series Analysis by Pretrained LM Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin

NeurIPS 2023 OneNet: Enhancing Time Series Forecasting Models Under Concept Drift by Online Ensembling Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

IJCAI 2023 Transformers in Time Series: A Survey Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun

AAAI 2023 eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun

AAAI 2022 A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data Yan Li, Rui Xia, Chunchen Liu, Liang Sun

NeurIPSW 2022 Chemistry Guided Molecular Graph Transformer Peisong Niu, Tian Zhou, Qingsong Wen, Liang Sun, Tao Yao

ICML 2022 FEDformer: Frequency Enhanced Decomposed Transformer for Long-Term Series Forecasting Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin

NeurIPS 2022 FiLM: Frequency Improved Legendre Memory Model for Long-Term Time Series Forecasting Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin

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

NeurIPS 2021 Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach Fan Yang, Kai He, Linxiao Yang, Hongxia Du, Jingbang Yang, Bo Yang, Liang Sun

IJCAI 2021 Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu

ICCV 2019 Exploring Overall Contextual Information for Image Captioning in Human-like Cognitive Style Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun

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

IJCAI 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, Jian Tan

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

NeurIPS 2011 Projection onto a Nonnegative Max-Heap Jun Liu, Liang Sun, Jieping Ye

ICML 2009 A Least Squares Formulation for a Class of Generalized Eigenvalue Problems in Machine Learning Liang Sun, Shuiwang Ji, Jieping Ye

NeurIPS 2009 Efficient Recovery of Jointly Sparse Vectors Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye

NeurIPS 2009 Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye

IJCAI 2009 Multiclass Probabilistic Kernel Discriminant Analysis Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye

IJCAI 2009 On the Equivalence Between Canonical Correlation Analysis and Orthonormalized Partial Least Squares Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye

ICML 2008 A Least Squares Formulation for Canonical Correlation Analysis Liang Sun, Shuiwang Ji, Jieping Ye

NeurIPS 2008 Multi-Label Multiple Kernel Learning Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye