An, Ning

6 publications

CVPR 2025 3D-SLNR: A Super Lightweight Neural Representation for Large-Scale 3D Mapping Chenhui Shi, Fulin Tang, Ning An, Yihong Wu

AAAI 2025 Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity Tianqi Shen, Shaohua Liu, Jiaqi Feng, Ziye Ma, Ning An

IJCAI 2024 Deep Frequency Derivative Learning for Non-Stationary Time Series Forecasting Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An

ACML 2024 LPNER: Label Prompt for Few-Shot Nested Named Entity Recognition Jiaoyun Yang, Zhihan Zhu, Hong Ming, Lili Jiang, Ning An

NeurIPS 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu

NeurIPS 2023 Frequency-Domain MLPs Are More Effective Learners in Time Series Forecasting Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu