Yang, Linxiao

8 publications

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

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

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

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

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

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

ICCV 2019 Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embedding Linxiao Yang, Ngai-Man Cheung, Jiaying Li, Jun Fang

NeurIPS 2019 Self-Supervised GAN: Analysis and Improvement with Multi-Class Minimax Game Ngoc-Trung Tran, Viet-Hung Tran, Bao-Ngoc Nguyen, Linxiao Yang, Ngai-Man Cheung