Liang Sun

MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting AAAI 2026 A Non-isotropic Time Series Diffusion Model with Moving Average Transitions ICML 2025 DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance ICLR 2025 Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey IJCAI 2025 Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting IJCAI 2025 SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain IJCAI 2025 APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation CVPR 2024 BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition ICML 2024 Explain Temporal Black-Box Models via Functional Decomposition ICML 2024 RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies ICLR 2024 Task-oriented Time Series Imputation Evaluation via Generalized Representers NeurIPS 2024 WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction IJCAI 2024 AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes AAAI 2023 eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms AAAI 2023 One Fits All: Power General Time Series Analysis by Pretrained LM NeurIPS 2023 OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling NeurIPS 2023 Transformers in Time Series: A Survey IJCAI 2023 A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data AAAI 2022 FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting ICML 2022 FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting NeurIPS 2022 Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NeurIPS 2022 Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach NeurIPS 2021 Time Series Data Augmentation for Deep Learning: A Survey IJCAI 2021 Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style ICCV 2019 RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series AAAI 2019 RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering IJCAI 2019 Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019 Parse Imputation for Dependency Annotations ACL 2015 Parsing low-resource languages using Gibbs sampling for PCFGs with latent annotations EMNLP 2014 Projection onto A Nonnegative Max-Heap NeurIPS 2011 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data NeurIPS 2009 Multi-label Multiple Kernel Learning NeurIPS 2008