Bai, Lu

22 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

IJCAI 2025 An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, 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 DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock

AAAI 2025 Deep Hypergraph Neural Networks with Tight Framelets Ming Li, Yujie Fang, Yi Wang, Han Feng, Yongchun Gu, Lu Bai, Pietro Liò

ICML 2025 ENAHPool: The Edge-Node Attention-Based Hierarchical Pooling for Graph Neural Networks Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Lixiang Xu, Yue Wang, Edwin Hancock

ICML 2025 EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio

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

IJCAI 2025 HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

ICML 2025 HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks Tingyi Cai, Yunliang Jiang, Ming Li, Lu Bai, Changqin Huang, Yi Wang

IJCAI 2025 MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang

NeurIPS 2025 MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Edwin Hancock

IJCAI 2025 SpaceDet: A Large-Scale Space-Based Image Dataset and RSO Detection for Space Situational Awareness Jiaping Xiao, Rangya Zhang, Yuhang Zhang, Lu Bai, Qianlei Jia, Mir Feroskhan

AAAI 2025 When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline Ming Li, Yongchun Gu, Yi Wang, Yujie Fang, Lu Bai, Xiaosheng Zhuang, Pietro Liò

NeurIPS 2024 HC-GAE: The Hierarchical Cluster-Based Graph Auto-Encoder for Graph Representation Learning Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock

ICML 2024 QBMK: Quantum-Based Matching Kernels for Un-Attributed Graphs Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin Hancock

ICML 2022 A Hierarchical Transitive-Aligned Graph Kernel for Un-Attributed Graphs Lu Bai, Lixin Cui, Hancock Edwin

IJCAI 2020 A Quantum-Inspired Entropic Kernel for Multiple Financial Time Series Analysis Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock

ECML-PKDD 2019 Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock

IJCAI 2015 A Graph Kernel Based on the Jensen-Shannon Representation Alignment Lu Bai, Zhihong Zhang, Chaoyan Wang, Xiao Bai, Edwin R. Hancock

ICML 2015 An Aligned Subtree Kernel for Weighted Graphs Lu Bai, Luca Rossi, Zhihong Zhang, Edwin Hancock

ECML-PKDD 2014 Attributed Graph Kernels Using the Jensen-Tsallis Q-Differences Lu Bai, Luca Rossi, Horst Bunke, Edwin R. Hancock