Xu, Yiming

9 publications

AAAI 2025 Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-Based Few-Shot Learning Hao Wang, Li Xu, Yuntao Yu, Weiyue Ding, Yiming Xu

AAAI 2025 Out-of-Distribution Generalization on Graphs via Progressive Inference Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen

AAAI 2025 Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen

ICML 2025 Toward Efficient Kernel-Based Solvers for Nonlinear PDEs Zhitong Xu, Da Long, Yiming Xu, Guang Yang, Shandian Zhe, Houman Owhadi

AAAI 2024 Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models Jiang Zhang, Qiong Wu, Yiming Xu, Cheng Cao, Zheng Du, Konstantinos Psounis

ICML 2023 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe

ICML 2022 Nonparametric Embeddings of Sparse High-Order Interaction Events Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe

IJCAI 2021 K-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks Yiming Xu, Diego Klabjan

IJCAI 2018 Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency Yue Pang, Bo Yao, Xiangdong Zhou, Yong Zhang, Yiming Xu, Zijing Tan