Lu Bai

185 papers A* 32A 1B 21Journal 89Unranked 41
YearRankTypeTitle / Venue / Authors
2026 J jnl
A visual-textual mutual guidance fusion network for remote sensing visual question answering.
Pattern Recognit.
Haolin Liu, Lei Chen, Xinchao Lu, Hao Wang, Lu Bai, Maoli Wang, Peng Ren
2026 J jnl
Calli-VA: A Visual Analytics System for Analyzing and Comparing Chinese Calligraphic Styles.
IEEE Trans. Vis. Comput. Graph.
Jincheng Li, Jinpeng Wu, Shaocong Tan, Lin Du, Yu Zhang, Chaofan Yang, Jiadi Zhang, Rebecca Ruige Xu, Rui Shi, Lu Bai, Xiaoru Yuan
2026 J jnl
From mutual guide to Confucius tri-learning: A theoretical justification.
Pattern Recognit.
Zongjun Han, Lu Bai, Bin Pan, Peng Ren
2026 J jnl
GraphProbe: Knowledge Probing for Graph Representation Learning.
Pattern Recognit.
Mingyu Zhao, Xingyu Huang, Songming Zhang, Anqi Liu, Ziyu Lyu, Yanlin Wang, Lixin Cui, Lu Bai
2026 A* conf
HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters.
AAAI
Ming Li, Ruiting Zhao, Zihao Yan, Lu Bai, Lixin Cui, Feilong Cao
2026 A* conf
HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning.
AAAI
Ming Li, Zhanle Zhu, Xinyi Li, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv
2026 J jnl
Improving Question Embeddings With Cognitive Representation Optimization for Knowledge Tracing.
IEEE Trans. Cybern.
Lixiang Xu, Xianwei Ding, Xin Yuan, Zhanlong Wang, Lu Bai, Enhong Chen, Philip S. Yu, Yuanyan Tang
2026 A* conf
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation.
AAAI
Lin Du, Lu Bai, Jincheng Li, Lixin Cui, Hangyuan Du, Lichi Zhang, Yuting Chen, Zhao Li
2026 J jnl
Motif-aware brain functional connectivity network analysis for cognitive disorder diagnosis.
Pattern Recognit.
Dongdong Chen, Linlin Yao, Lu Bai, Edwin R. Hancock, Lichi Zhang
2026 A* conf
Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation.
AAAI
Ming Li, Zihao Yan, Yuting Chen, Lixin Cui, Lu Bai, Feilong Cao, Ke Lv, Zhao Li
2026 A* conf
Permutation Equivariant Framelet-based Hypergraph Neural Networks.
AAAI
Ming Li, Yi Wang, Chengling Gao, Lu Bai, Yujie Fang, Xiaosheng Zhuang, Pietro Lio
2026 A* conf
RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation.
WWW
Jin Zeng, Yupeng Qi, Hui Li, Chengming Li, Ziyu Lyu, Lixin Cui, Lu Bai
2026 J jnl
RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation.
CoRR
Jin Zeng, Yupeng Qi, Hui Li, Chengming Li, Ziyu Lyu, Lixin Cui, Lu Bai
2026 A* conf
SSHPool: The Separated Subgraph-based Hierarchical Pooling.
AAAI
Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Ziyu Lyu, Yue Wang, Edwin R. Hancock
2026 A* conf
Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction.
AAAI
Ming Li, Huiting Wang, Yuting Chen, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv
2025 B conf
A Graph Contrastive Recommendation Model Based on Dual-channel Data Augmentation.
IJCNN
Hangyuan Du, Liting Ma, Liang Bai, Lu Bai, Wenjian Wang
2025 J jnl
A motif based hypergraph multi-level semantic encoding framework for social recommender systems.
Signal Process.
Hangyuan Du, Wenjian Wang, Liang Bai, Lu Bai, Jiye Liang
2025 J jnl
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks.
IEEE Trans. Knowl. Data Eng.
Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025 A* conf
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract).
ICDE
Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025 A* conf
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification.
IJCAI
Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025 A* conf
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection.
IJCAI
Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025 B conf
CGFNet: Frequency-Domain Causal Discovery and Dual-Path Spectral Filtering for Wildfire Prediction.
IEEE Big Data
Hangyuan Du, Dengke Su, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang
2025 B conf
Contrastive Anomalous User Detection in Recommender Systems via Multi-Semantic Paths.
IEEE Big Data
Hangyuan Du, Liu Yang, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang
2025 A* conf
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification.
AAAI
Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock
2025 A* conf
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification.
IJCAI
Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock
2025 A* conf
Deep Hypergraph Neural Networks with Tight Framelets.
AAAI
Ming Li, Yujie Fang, Yi Wang, Han Feng, Yongchun Gu, Lu Bai, Pietro Liò
2025 A* conf
Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation.
ICDM
Yue Wang, Dehang Fu, Jie Tan, Junxiao Han, Yao Wan, Lixin Cui, Lu Bai, Philip S. Yu
2025 J jnl
Dual-Modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System.
IEEE Trans. Intell. Transp. Syst.
Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock
2025 A* conf
ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks.
ICML
Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Lixiang Xu, Yue Wang, Edwin R. Hancock
2025 A* conf
EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction.
ICML
Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio
2025 B conf
Enhancing Out-of-distribution Generalization for Graph Learning with Causal Information Bottleneck.
IJCNN
Hangyuan Du, Shuaijun Li, Liang Bai, Lu Bai, Wenjian Wang
2025 A* conf
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint.
IJCAI
Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025 A* conf
FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System.
SIGIR
Yuhan Hu, Ziyu Lyu, Lu Bai, Lixin Cui
2025 J jnl
FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation.
Pattern Recognit.
Ming Li, Jiandong Shi, Lu Bai, Changqin Huang, Yunliang Jiang, Ke Lu, Shijin Wang, Edwin R. Hancock
2025 J jnl
Graph Representation Learning for Infrared and Visible Image Fusion.
IEEE Trans Autom. Sci. Eng.
Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma
2025 J jnl
Graph Spiking Attention Network: Sparsity, Efficiency and Robustness.
IEEE Trans. Pattern Anal. Mach. Intell.
Beibei Wang, Bo Jiang, Jin Tang, Lu Bai, Bin Luo
2025 J jnl
Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification.
Knowl. Based Syst.
Dongdong Chen, Mengjun Liu, Sheng Wang, Zheren Li, Lu Bai, Qian Wang, Dinggang Shen, Lichi Zhang
2025 A* conf
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification.
IJCAI
Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025 A* conf
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract).
ICDE
Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2025 — conf
Hidden Market Patterns: A Spatio-Temporal Graph Auto-Encoder for Stock Price Forecasting and Portfolio Optimization Strategy.
ICIC (15)
Han Fu, Zhuo Xu, Zhipeng Cui, Lu Bai, Lixin Cui
2025 A* conf
HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks.
ICML
Tingyi Cai, Yunliang Jiang, Ming Li, Lu Bai, Changqin Huang, Yi Wang
2025 J jnl
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing.
CoRR
Lixiang Xu, Xianwei Ding, Xin Yuan, Zhanlong Wang, Lu Bai, Enhong Chen, Philip S. Yu, Yuanyan Tang
2025 J jnl
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation.
CoRR
Lin Du, Lu Bai, Jincheng Li, Lixin Cui, Hangyuan Du, Lichi Zhang, Yuting Chen, Zhao Li
2025 J jnl
Learning robust MLPs on graphs via cross-layer distillation from a causal perspective.
Pattern Recognit.
Hangyuan Du, Wenjian Wang, Weihong Zhang, Dengke Su, Liang Bai, Lu Bai, Jiye Liang
2025 A* conf
MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition.
IJCAI
Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang
2025 — conf
MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework.
EMNLP (Findings)
Yupeng Qi, Ziyu Lyu, Min Yang, Yanlin Wang, Lu Bai, Lixin Cui
2025 J jnl
MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework.
CoRR
Yupeng Qi, Ziyu Lyu, Min Yang, Yanlin Wang, Lu Bai, Lixin Cui
2025 J jnl
Multi-Level Knowledge Distillation with Positional Encoding Enhancement.
Pattern Recognit.
Lixiang Xu, Zhiwen Wang, Lu Bai, Shengwei Ji, Bing Ai, Xiaofeng Wang, Philip S. Yu
2025 J jnl
Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation.
Inf. Sci.
Jiandong Shi, Ming Li, Yuting Chen, Lixin Cui, Lu Bai
2025 — conf
RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis.
MICCAI (16)
Yusong Sun, Dongdong Chen, Mengjun Liu, Zhenrong Shen, Zhiyun Song, Yuqi Hu, Manman Fei, Xu Han, Zelin Liu, Xingkai Fang, Lu Bai, Lichi Zhang
2025 — conf
Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching.
MICCAI (5)
Manman Fei, Zhenrong Shen, Mengjun Liu, Zhiyun Song, Yusong Sun, Xu Han, Zelin Liu, Haotian Jiang, Lu Bai, Qian Wang, Lichi Zhang
2025 — conf
Research on the Resilience and Security in Chinese Robot Industry Comparative Analysis of Provincial - Level Disparities.
WHICEB (2)
Peilin Liu, Zhipeng Cui, Yu Duan, Lixin Cui, Lu Bai
2025 A* conf
When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline.
AAAI
Ming Li, Yongchun Gu, Yi Wang, Yujie Fang, Lu Bai, Xiaosheng Zhuang, Pietro Liò
2024 J jnl
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification.
CoRR
Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
2024 J jnl
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus.
IEEE Trans. Knowl. Data Eng.
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2024 J jnl
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System.
CoRR
Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock
2024 J jnl
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks.
CoRR
Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Lixiang Xu, Edwin R. Hancock
2024 J jnl
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification.
IEEE Trans. Knowl. Data Eng.
Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2024 A* conf
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning.
NeurIPS
Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024 J jnl
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning.
CoRR
Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024 J jnl
Knowledge Probing for Graph Representation Learning.
CoRR
Mingyu Zhao, Xingyu Huang, Ziyu Lyu, Yanlin Wang, Lixin Cui, Lu Bai
2024 J jnl
Learning Aligned Vertex Convolutional Networks for Graph Classification.
IEEE Trans. Neural Networks Learn. Syst.
Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock
2024 J jnl
Learning structure perception MLPs on graphs: a layer-wise graph knowledge distillation framework.
Int. J. Mach. Learn. Cybern.
Hangyuan Du, Rong Yu, Liang Bai, Lu Bai, Wenjian Wang
2024 J jnl
Metalantis: A Comprehensive Underwater Image Enhancement Framework.
IEEE Trans. Geosci. Remote. Sens.
Hao Wang, Weibo Zhang, Lu Bai, Peng Ren
2024 J jnl
Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction.
Inf. Fusion
Ming Li, Xiaosheng Zhuang, Lu Bai, Weiping Ding
2024 — conf
Population Aging and High-Quality Economic Development: Based on Feature Selection and Empirical Analysis of Provincial Panel Data.
WHICEB (3)
Luomeng Zhang, Lixin Cui, Lu Bai
2024 J jnl
QBER: Quantum-based Entropic Representations for un-attributed graphs.
Pattern Recognit.
Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock
2024 A* conf
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs.
ICML
Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024 J jnl
SSHPool: The Separated Subgraph-based Hierarchical Pooling.
CoRR
Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
2023 J jnl
AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks.
CoRR
Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock
2023 J jnl
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation.
Pattern Recognit.
Ming Li, Lin Zhang, Lixin Cui, Lu Bai, Zhao Li, Xindong Wu
2023 — conf
C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling.
GbRPR
Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai, Edwin R. Hancock
2023 J jnl
Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock
2023 J jnl
Graph Motif Entropy for Understanding Time-Evolving Networks.
IEEE Trans. Neural Networks Learn. Syst.
Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock
2023 J jnl
Graph Representation Learning for Infrared and Visible Image Fusion.
CoRR
Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Edwin R. Hancock
2023 J jnl
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation.
IEEE Trans. Knowl. Data Eng.
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2023 J jnl
Multiple Pedestrian Tracking With Graph Attention Map on Urban Road Scene.
IEEE Trans. Intell. Transp. Syst.
Zhihui Wang, Zhiyuan Li, Jiaxu Leng, Ming Li, Lu Bai
2023 J jnl
TFIV: Multigrained Token Fusion for Infrared and Visible Image via Transformer.
IEEE Trans. Instrum. Meas.
Jing Li, Bin Yang, Lu Bai, Hao Dou, Chang Li, Lingfei Ma
2022 A* conf
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs.
ICML
Lu Bai, Lixin Cui, Edwin R. Hancock
2022 B conf
ABDPool: Attention-based Differentiable Pooling.
ICPR
Yue Liu, Lixin Cui, Yue Wang, Lu Bai
2022 J jnl
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus.
CoRR
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2022 J jnl
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification.
CoRR
Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock
2022 J jnl
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock
2022 A* conf
Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract).
ICDE
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2022 J jnl
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification.
CoRR
Lu Bai, Lixin Cui, Edwin R. Hancock
2022 J jnl
Writing Style Aware Document-level Event Extraction.
CoRR
Zhuo Xu, Yue Wang, Lu Bai, Lixin Cui
2021 — conf
ABAE: Utilize Attention to Boost Graph Auto-Encoder.
PRICAI (2)
Tianyu Liu, Yifan Li, Yujie Sun, Lixin Cui, Lu Bai
2021 J jnl
Deep Rényi entropy graph kernel.
Pattern Recognit.
Lixiang Xu, Lu Bai, Xiaoyi Jiang, Ming Tan, Daoqiang Zhang, Bin Luo
2021 J jnl
Fused lasso for feature selection using structural information.
Pattern Recognit.
Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock
2021 J jnl
Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection.
Pattern Recognit.
Lixin Cui, Lu Bai, Yanchao Wang, Xin Jin, Edwin R. Hancock
2021 J jnl
Multiple graph kernel learning based on GMDH-type neural network.
Inf. Fusion
Lixiang Xu, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaofeng Wang, Yuanyan Tang
2020 J jnl
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs.
CoRR
Lu Bai, Lixin Cui, Edwin R. Hancock
2020 J jnl
A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs.
IEEE Trans. Cybern.
Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
2020 A* conf
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis.
IJCAI
Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock
2020 — conf
Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection.
S+SSPR
Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock
2020 B conf
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks.
ICPR
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020 J jnl
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks.
CoRR
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020 J jnl
Generative temporal link prediction via self-tokenized sequence modeling.
World Wide Web
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2020 — conf
Graph Transformer: Learning Better Representations for Graph Neural Networks.
S+SSPR
Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock
2020 — conf
LGL-GNN: Learning Global and Local Information for Graph Neural Networks.
S+SSPR
Huan Li, Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock
2020 J jnl
Local-global nested graph kernels using nested complexity traces.
Pattern Recognit. Lett.
Lu Bai, Lixin Cui, Luca Rossi, Lixiang Xu, Xiao Bai, Edwin R. Hancock
2020 J jnl
Probabilistic SVM classifier ensemble selection based on GMDH-type neural network.
Pattern Recognit.
Lixiang Xu, Xiaofeng Wang, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaoyi Jiang, Bin Luo
2020 J jnl
Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks.
Pattern Recognit.
Zhihong Zhang, Yangbin Zeng, Lu Bai, Yiqun Hu, Meihong Wu, Shuai Wang, Edwin R. Hancock
2019 J jnl
A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs.
CoRR
Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
2019 — conf
An Attributed Graph Embedding Method Using the Tree-Index Algorithm.
GbRPR
Yuhang Jiao, Yueting Yang, Lixin Cui, Lu Bai
2019 J jnl
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking.
CoRR
Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu
2019 A* conf
Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking.
ICDM
Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu
2019 J jnl
Deep depth-based representations of graphs through deep learning networks.
Neurocomputing
Lu Bai, Lixin Cui, Xiao Bai, Edwin R. Hancock
2019 J jnl
Depth-based subgraph convolutional auto-encoder for network representation learning.
Pattern Recognit.
Zhihong Zhang, Dongdong Chen, Zeli Wang, Heng Li, Lu Bai, Edwin R. Hancock
2019 J jnl
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis.
CoRR
Lu Bai, Lixin Cui, Lixiang Xu, Yue Wang, Zhihong Zhang, Edwin R. Hancock
2019 J jnl
Fused Lasso for Feature Selection using Structural Information.
CoRR
Lixin Cui, Lu Bai, Edwin R. Hancock
2019 J jnl
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling.
CoRR
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2019 J jnl
Identifying the most informative features using a structurally interacting elastic net.
Neurocomputing
Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
2019 — conf
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification.
ECML/PKDD (1)
Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
2019 J jnl
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification.
CoRR
Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
2019 J jnl
Learning Vertex Convolutional Networks for Graph Classification.
CoRR
Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock
2019 — conf
Loan Recommendation in P2P Lending Investment Networks: A Hybrid Graph Convolution Approach.
IEEM
Yibo Chai, Yahu Cong, Lu Bai, Lixin Cui
2019 J jnl
Quantum-based subgraph convolutional neural networks.
Pattern Recognit.
Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock
2018 B conf
A Deep Hybrid Graph Kernel Through Deep Learning Networks.
ICPR
Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock
2018 — conf
A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs.
S+SSPR
Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock
2018 — conf
A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels.
S+SSPR
Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock
2018 J jnl
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information.
CoRR
Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
2018 B conf
A Unified Neighbor Reconstruction Method for Embeddings.
ICPR
Zhiling Ye, Zhihong Zhang, Lu Bai, Guosheng Hu, Zheng-Jian Bai, Yiqun Hu, Edwin R. Hancock
2018 J jnl
A hybrid reproducing graph kernel based on information entropy.
Pattern Recognit.
Lixiang Xu, Xiaoyi Jiang, Lu Bai, Jin Xiao, Bin Luo
2018 J jnl
Adaptive hash retrieval with kernel based similarity.
Pattern Recognit.
Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock
2018 — conf
Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel.
S+SSPR
Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang
2018 — conf
Deep Co-Investment Network Learning for Financial Assets.
ICBK
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018 J jnl
Deep Co-investment Network Learning for Financial Assets.
CoRR
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018 B conf
Depth-based Subgraph Convolutional Neural Networks.
ICPR
Chuanyu Xu, Dong Wang, Zhihong Zhang, Beizhan Wang, Da Zhou, Guijun Ren, Lu Bai, Lixin Cui, Edwin R. Hancock
2018 — conf
Directed Network Analysis Using Transfer Entropy Component Analysis.
S+SSPR
Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui, Lu Bai, Edwin R. Hancock
2018 J jnl
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net.
CoRR
Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
2018 — conf
Market Abnormality Period Detection via Co-movement Attention Model.
IEEE BigData
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018 J jnl
Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiao Bai, Fan Xu, Lei Zhou, Yan Xing, Lu Bai, Jun Zhou
2018 — conf
Single Image Super Resolution via Neighbor Reconstruction.
S+SSPR
Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai
2018 J jnl
基于出行模式子图的城市功能区域发现方法 (City Functional Region Discovery Algorithm Based on Travel Pattern Subgraph).
计算机科学
Fei Xiao, Yue Wang, Yinan Mei, Lu Bai, Lixin Cui
2017 — conf
A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework.
GbRPR
Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
2017 — conf
Adaptive Feature Selection Based on the Most Informative Graph-Based Features.
GbRPR
Lixin Cui, Yuhang Jiao, Lu Bai, Luca Rossi, Edwin R. Hancock
2017 — conf
Deep Face Model Compression Using Entropy-Based Filter Selection.
ICIAP (2)
Bingbing Han, Zhihong Zhang, Chuanyu Xu, Beizhan Wang, Guosheng Hu, Lu Bai, Qingqi Hong, Edwin R. Hancock
2017 J jnl
Differential weights-based band selection for hyperspectral image classification.
Int. J. Wavelets Multiresolution Inf. Process.
Yun Liu, Chen Wang, Yang Wang, Xiao Bai, Jun Zhou, Lu Bai
2017 A conf
Fast K-means for Large Scale Clustering.
CIKM
Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng
2017 J jnl
High-order covariate interacted Lasso for feature selection.
Pattern Recognit. Lett.
Zhihong Zhang, Yiyang Tian, Lu Bai, Jianbing Xiahou, Edwin R. Hancock
2017 J jnl
Joint hypergraph learning and sparse regression for feature selection.
Pattern Recognit.
Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock
2017 J jnl
Quantum kernels for unattributed graphs using discrete-time quantum walks.
Pattern Recognit. Lett.
Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, Edwin R. Hancock
2016 B conf
A novel entropy-based graph signature from the average mixing matrix.
ICPR
Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
2016 B conf
A transitive aligned Weisfeiler-Lehman subtree kernel.
ICPR
Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
2016 B conf
An edge-based matching kernel on commute-time spanning trees.
ICPR
Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock
2016 J jnl
Band Weighting via Maximizing Interclass Distance for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Cheng Yan, Xiao Bai, Peng Ren, Lu Bai, Wenzhong Tang, Jun Zhou
2016 J jnl
Depth-based hypergraph complexity traces from directed line graphs.
Pattern Recognit.
Lu Bai, Francisco Escolano, Edwin R. Hancock
2016 J jnl
Discriminative sparse neighbor coding.
Multim. Tools Appl.
Xiao Bai, Cheng Yan, Peng Ren, Lu Bai, Jun Zhou
2016 J jnl
Discriminative sparse representation for face recognition.
Multim. Tools Appl.
Zhihong Zhang, Yuanheng Liang, Lu Bai, Edwin R. Hancock
2016 J jnl
Fast depth-based subgraph kernels for unattributed graphs.
Pattern Recognit.
Lu Bai, Edwin R. Hancock
2016 J jnl
High-order graph matching kernel for early carcinoma EUS image classification.
Multim. Tools Appl.
Zhihong Zhang, Lu Bai, Peng Ren, Edwin R. Hancock
2016 B conf
Link prediction via Supervised Dynamic Network Formation.
ICPR
Yue Wang, Lu Bai
2016 J jnl
Maximum margin hashing with supervised information.
Multim. Tools Appl.
Haichuan Yang, Xiao Bai, Yanzhen Liu, Yanyang Wang, Lu Bai, Jun Zhou, Wenzhong Tang
2016 — conf
P2P Lending Analysis Using the Most Relevant Graph-Based Features.
S+SSPR
Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock
2016 B conf
Shape classification with a vertex clustering graph kernel.
ICPR
Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock
2015 A* conf
A Graph Kernel Based on the Jensen-Shannon Representation Alignment.
IJCAI
Lu Bai, Zhihong Zhang, Chaoyan Wang, Xiao Bai, Edwin R. Hancock
2015 — conf
A High-Order Depth-Based Graph Matching Method.
CAIP (1)
Lu Bai, Zhihong Zhang, Peng Ren, Edwin R. Hancock
2015 — conf
A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks.
GbRPR
Lu Bai, Luca Rossi, Peng Ren, Zhihong Zhang, Edwin R. Hancock
2015 J jnl
A quantum Jensen-Shannon graph kernel for unattributed graphs.
Pattern Recognit.
Lu Bai, Luca Rossi, Andrea Torsello, Edwin R. Hancock
2015 — conf
Adaptive Graph Learning for Unsupervised Feature Selection.
CAIP (1)
Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock
2015 A* conf
An Aligned Subtree Kernel for Weighted Graphs.
ICML
Lu Bai, Luca Rossi, Zhihong Zhang, Edwin R. Hancock
2015 — conf
An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks.
ICIAP (1)
Lu Bai, Zhihong Zhang, Peng Ren, Luca Rossi, Edwin R. Hancock
2015 — conf
An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs.
CAIP (2)
Lu Bai, Zhihong Zhang, Chaoyan Wang, Edwin R. Hancock
2015 — conf
Coupled-Feature Hypergraph Representation for Feature Selection.
GbRPR
Zhihong Zhang, Jianbing Xiahou, Lu Bai, Edwin R. Hancock
2015 — conf
Unsupervised Feature Selection by Graph Optimization.
ICIAP (1)
Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock
2014 — conf
A Graph Kernel from the Depth-Based Representation.
S+SSPR
Lu Bai, Peng Ren, Xiao Bai, Edwin R. Hancock
2014 B conf
A Hypergraph Kernel from Isomorphism Tests.
ICPR
Lu Bai, Peng Ren, Edwin R. Hancock
2014 B conf
An Attributed Graph Kernel from the Jensen-Shannon Divergence.
ICPR
Lu Bai, Horst Bunke, Edwin R. Hancock
2014 — conf
Attributed Graph Kernels Using the Jensen-Tsallis q-Differences.
ECML/PKDD (1)
Lu Bai, Luca Rossi, Horst Bunke, Edwin R. Hancock
2014 J jnl
Depth-based complexity traces of graphs.
Pattern Recognit.
Lu Bai, Edwin R. Hancock
2014 B conf
Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs.
ICPR
Lu Bai, Edwin R. Hancock, Peng Ren, Francisco Escolano
2014 — —
Information theoretic graph kernels.
Lu Bai
2014 B conf
Semi-randomized hashing for large scale data retrieval.
DSAA
Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai
2014 — conf
Transitive State Alignment for the Quantum Jensen-Shannon Kernel.
S+SSPR
Andrea Torsello, Andrea Gasparetto, Luca Rossi, Lu Bai, Edwin R. Hancock
2013 — conf
A Fast Jensen-Shannon Subgraph Kernel.
ICIAP (1)
Lu Bai, Edwin R. Hancock
2013 — conf
A Graph Embedding Method Using the Jensen-Shannon Divergence.
CAIP (1)
Lu Bai, Edwin R. Hancock, Lin Han
2013 — conf
A Quantum Jensen-Shannon Graph Kernel Using the Continuous-Time Quantum Walk.
GbRPR
Lu Bai, Edwin R. Hancock, Andrea Torsello, Luca Rossi
2013 J jnl
Graph Kernels from the Jensen-Shannon Divergence.
J. Math. Imaging Vis.
Lu Bai, Edwin R. Hancock
2012 — conf
A Jensen-Shannon Kernel for Hypergraphs.
SSPR/SPR
Lu Bai, Edwin R. Hancock, Peng Ren
2012 — conf
Graph Complexity from the Jensen-Shannon Divergence.
SSPR/SPR
Lu Bai, Edwin R. Hancock
2012 B conf
Graph clustering using graph entropy complexity traces.
ICPR
Lu Bai, Edwin R. Hancock, Lin Han, Peng Ren
2012 B conf
Jensen-Shannon graph kernel using information functionals.
ICPR
Lu Bai, Edwin R. Hancock, Peng Ren
2012 B conf
Sampling graphs from a probabilistic generative model.
ICPR
Lin Han, Richard C. Wilson, Edwin R. Hancock, Lu Bai, Peng Ren
2011 — conf
Graph Clustering Using the Jensen-Shannon Kernel.
CAIP (1)
Lu Bai, Edwin R. Hancock