Qian, Feifei

5 publications

IJCAI 2025 AKBR: Learning Adaptive Kernel-Based Representations for Graph Classification Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

AAAI 2025 DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock

IJCAI 2025 Exploring the Over-Smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-Based Viewpoint Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

CoRL 2025 Granular Loco-Manipulation: Repositioning Rocks Through Strategic Sand Avalanche Haodi Hu, Yue Wu, Daniel Seita, Feifei Qian

CoRL 2024 Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope Haodi Hu, Feifei Qian, Daniel Seita