Qu, Eric

6 publications

LoG 2025 Hyperbolic Kernel Convolution: A Generic Framework Eric Qu, Lige Zhang, Habib Debaya, Yue Wu, Dongmian Zou

TMLR 2024 Autoencoding Hyperbolic Representation for Adversarial Generation Eric Qu, Dongmian Zou

ICLR 2024 CNN Kernels Can Be the Best Shapelets Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li

NeurIPS 2024 The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains Eric Qu, Aditi S. Krishnapriyan

ICLR 2023 Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer Eric Qu, Xufang Luo, Dongsheng Li

NeurIPSW 2022 Lorentz Direct Concatenation for Stable Training in Hyperbolic Neural Networks Eric Qu, Dongmian Zou