Graph Clustering Using the Jensen-Shannon Kernel. - Lu Bai 001; Edwin R. Hancock (CAIP (1), 2011)

Graph clustering using graph entropy complexity traces. - Lu Bai 001; Edwin R. Hancock; Lin Han; Peng Ren 001 (ICPR, 2012)

Jensen-Shannon graph kernel using information functionals. - Lu Bai 001; Edwin R. Hancock; Peng Ren 001 (ICPR, 2012)

Sampling graphs from a probabilistic generative model. - Lin Han; Richard C. Wilson 001; Edwin R. Hancock; Lu Bai 001; Peng Ren 001 (ICPR, 2012)

Graph Complexity from the Jensen-Shannon Divergence. - Lu Bai 001; Edwin R. Hancock (SSPR/SPR, 2012)

A Jensen-Shannon Kernel for Hypergraphs. - Lu Bai 001; Edwin R. Hancock; Peng Ren 001 (SSPR/SPR, 2012)

A Graph Embedding Method Using the Jensen-Shannon Divergence. - Lu Bai 001; Edwin R. Hancock; Lin Han (CAIP (1), 2013)

A Quantum Jensen-Shannon Graph Kernel Using the Continuous-Time Quantum Walk. - Lu Bai 001; Edwin R. Hancock; Andrea Torsello; Luca Rossi 004 (GbRPR, 2013)

A Fast Jensen-Shannon Subgraph Kernel. - Lu Bai 001; Edwin R. Hancock (ICIAP (1), 2013)

Graph Kernels from the Jensen-Shannon Divergence. - Lu Bai 001; Edwin R. Hancock (J. Math. Imaging Vis., 2013)

Semi-randomized hashing for large scale data retrieval. - Haichuan Yang; Xiao Bai 001; Jun Zhou 001; Peng Ren 001; Jian Cheng 001; Lu Bai 001 (DSAA, 2014)

An Attributed Graph Kernel from the Jensen-Shannon Divergence. - Lu Bai 001; Horst Bunke; Edwin R. Hancock (ICPR, 2014)

Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs. - Lu Bai 001; Edwin R. Hancock; Peng Ren 001; Francisco Escolano (ICPR, 2014)

A Hypergraph Kernel from Isomorphism Tests. - Lu Bai 001; Peng Ren 001; Edwin R. Hancock (ICPR, 2014)

Attributed Graph Kernels Using the Jensen-Tsallis q-Differences. - Lu Bai 001; Luca Rossi 004; Horst Bunke; Edwin R. Hancock (ECML/PKDD (1), 2014)

A Graph Kernel from the Depth-Based Representation. - Lu Bai 001; Peng Ren 001; Xiao Bai 001; Edwin R. Hancock (S+SSPR, 2014)

Transitive State Alignment for the Quantum Jensen-Shannon Kernel. - Andrea Torsello; Andrea Gasparetto; Luca Rossi 004; Lu Bai 001; Edwin R. Hancock (S+SSPR, 2014)

Depth-based complexity traces of graphs. - Lu Bai 001; Edwin R. Hancock (Pattern Recognit., 2014)

Information theoretic graph kernels. - Lu Bai 001 (2014)

A High-Order Depth-Based Graph Matching Method. - Lu Bai 001; Zhihong Zhang 001; Peng Ren 001; Edwin R. Hancock (CAIP (1), 2015)

An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs. - Lu Bai 001; Zhihong Zhang 001; Chaoyan Wang; Edwin R. Hancock (CAIP (2), 2015)

Adaptive Graph Learning for Unsupervised Feature Selection. - Zhihong Zhang 001; Lu Bai 001; Yuanheng Liang; Edwin R. Hancock (CAIP (1), 2015)

A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks. - Lu Bai 001; Luca Rossi 004; Peng Ren 001; Zhihong Zhang 001; Edwin R. Hancock (GbRPR, 2015)

Coupled-Feature Hypergraph Representation for Feature Selection. - Zhihong Zhang 001; Jianbing Xiahou; Lu Bai 001; Edwin R. Hancock (GbRPR, 2015)

An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks. - Lu Bai 001; Zhihong Zhang 001; Peng Ren 001; Luca Rossi 004; Edwin R. Hancock (ICIAP (1), 2015)

Unsupervised Feature Selection by Graph Optimization. - Zhihong Zhang 001; Lu Bai 001; Yuanheng Liang; Edwin R. Hancock (ICIAP (1), 2015)

An Aligned Subtree Kernel for Weighted Graphs. - Lu Bai 001; Luca Rossi 004; Zhihong Zhang 001; Edwin R. Hancock (ICML, 2015)

A Graph Kernel Based on the Jensen-Shannon Representation Alignment. - Lu Bai 001; Zhihong Zhang 001; Chaoyan Wang; Xiao Bai 001; Edwin R. Hancock (IJCAI, 2015)

A quantum Jensen-Shannon graph kernel for unattributed graphs. - Lu Bai 001; Luca Rossi 004; Andrea Torsello; Edwin R. Hancock (Pattern Recognit., 2015)

A transitive aligned Weisfeiler-Lehman subtree kernel. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Edwin R. Hancock (ICPR, 2016)

A novel entropy-based graph signature from the average mixing matrix. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Edwin R. Hancock (ICPR, 2016)

An edge-based matching kernel on commute-time spanning trees. - Lu Bai 001; Lixin Cui; Francisco Escolano; Edwin R. Hancock (ICPR, 2016)

Shape classification with a vertex clustering graph kernel. - Lu Bai 001; Lixin Cui; Yue Wang 014; Xin Jin 007; Xiao Bai 001; Edwin R. Hancock (ICPR, 2016)

Link prediction via Supervised Dynamic Network Formation. - Yue Wang 014; Lu Bai 001 (ICPR, 2016)

P2P Lending Analysis Using the Most Relevant Graph-Based Features. - Lixin Cui; Lu Bai 001; Yue Wang 014; Xiao Bai 001; Zhihong Zhang 001; Edwin R. Hancock (S+SSPR, 2016)

Band Weighting via Maximizing Interclass Distance for Hyperspectral Image Classification. - Cheng Yan; Xiao Bai 001; Peng Ren 001; Lu Bai 001; Wenzhong Tang; Jun Zhou 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Discriminative sparse neighbor coding. - Xiao Bai 001; Cheng Yan; Peng Ren 001; Lu Bai 001; Jun Zhou 001 (Multim. Tools Appl., 2016)

Maximum margin hashing with supervised information. - Haichuan Yang; Xiao Bai 001; Yanzhen Liu; Yanyang Wang; Lu Bai 001; Jun Zhou 001; Wenzhong Tang (Multim. Tools Appl., 2016)

High-order graph matching kernel for early carcinoma EUS image classification. - Zhihong Zhang 001; Lu Bai 001; Peng Ren 001; Edwin R. Hancock (Multim. Tools Appl., 2016)

Discriminative sparse representation for face recognition. - Zhihong Zhang 001; Yuanheng Liang; Lu Bai 001; Edwin R. Hancock (Multim. Tools Appl., 2016)

Depth-based hypergraph complexity traces from directed line graphs. - Lu Bai 001; Francisco Escolano; Edwin R. Hancock (Pattern Recognit., 2016)

Fast depth-based subgraph kernels for unattributed graphs. - Lu Bai 001; Edwin R. Hancock (Pattern Recognit., 2016)

Fast K-means for Large Scale Clustering. - Qinghao Hu 001; Jiaxiang Wu 001; Lu Bai 001; Yifan Zhang 001; Jian Cheng 001 (CIKM, 2017)

A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Edwin R. Hancock (GbRPR, 2017)

Adaptive Feature Selection Based on the Most Informative Graph-Based Features. - Lixin Cui; Yuhang Jiao 001; Lu Bai 001; Luca Rossi 004; Edwin R. Hancock (GbRPR, 2017)

Deep Face Model Compression Using Entropy-Based Filter Selection. - Bingbing Han; Zhihong Zhang 001; Chuanyu Xu; Beizhan Wang; Guosheng Hu; Lu Bai 001; Qingqi Hong; Edwin R. Hancock (ICIAP (2), 2017)

Differential weights-based band selection for hyperspectral image classification. - Yun Liu 014; Chen Wang 026; Yang Wang; Xiao Bai 001; Jun Zhou 001; Lu Bai 001 (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Joint hypergraph learning and sparse regression for feature selection. - Zhihong Zhang 001; Lu Bai 001; Yuanheng Liang; Edwin R. Hancock (Pattern Recognit., 2017)

Quantum kernels for unattributed graphs using discrete-time quantum walks. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Zhihong Zhang 001; Peng Ren 001; Xiao Bai 001; Edwin R. Hancock (Pattern Recognit. Lett., 2017)

High-order covariate interacted Lasso for feature selection. - Zhihong Zhang 001; Yiyang Tian; Lu Bai 001; Jianbing Xiahou; Edwin R. Hancock (Pattern Recognit. Lett., 2017)

Market Abnormality Period Detection via Co-movement Attention Model. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui (IEEE BigData, 2018)

Deep Co-Investment Network Learning for Financial Assets. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui (ICBK, 2018)

A Deep Hybrid Graph Kernel Through Deep Learning Networks. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Yue Wang 014; Yuhang Jiao 001; Edwin R. Hancock (ICPR, 2018)

Depth-based Subgraph Convolutional Neural Networks. - Chuanyu Xu; Dong Wang; Zhihong Zhang 001; Beizhan Wang; Da Zhou; Guijun Ren; Lu Bai 001; Lixin Cui; Edwin R. Hancock (ICPR, 2018)

A Unified Neighbor Reconstruction Method for Embeddings. - Zhiling Ye; Zhihong Zhang 001; Lu Bai 001; Guosheng Hu; Zheng-Jian Bai; Yiqun Hu; Edwin R. Hancock (ICPR, 2018)

A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Zhihong Zhang 001; Yuhang Jiao 001; Edwin R. Hancock (S+SSPR, 2018)

A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Zhihong Zhang 001; Lixiang Xu; Edwin R. Hancock (S+SSPR, 2018)

Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. - Yuhang Jiao 001; Lixin Cui; Lu Bai 001; Yue Wang 014 (S+SSPR, 2018)

Directed Network Analysis Using Transfer Entropy Component Analysis. - Meihong Wu; Yangbin Zeng; Zhihong Zhang 001; Haiyun Hong; Zhuobin Xu; Lixin Cui; Lu Bai 001; Edwin R. Hancock (S+SSPR, 2018)

Single Image Super Resolution via Neighbor Reconstruction. - Zhihong Zhang 001; Zhuobin Xu; Zhiling Ye; Yiqun Hu; Lixin Cui; Lu Bai 001 (S+SSPR, 2018)

A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. - Lu Bai 001; Yuhang Jiao 001; Luca Rossi 004; Lixin Cui; Jian Cheng 001; Edwin R. Hancock (CoRR, 2018)

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). - Fei Xiao; Yue Wang 014; Yinan Mei; Lu Bai 001; Lixin Cui (计算机科学, 2018)

Adaptive hash retrieval with kernel based similarity. - Xiao Bai 001; Cheng Yan; Haichuan Yang; Lu Bai 001; Jun Zhou 001; Edwin Robert Hancock (Pattern Recognit., 2018)

A hybrid reproducing graph kernel based on information entropy. - Lixiang Xu; Xiaoyi Jiang 001; Lu Bai 001; Jin Xiao; Bin Luo 001 (Pattern Recognit., 2018)

Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising. - Xiao Bai 001; Fan Xu; Lei Zhou 008; Yan Xing; Lu Bai 001; Jun Zhou 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

An Attributed Graph Embedding Method Using the Tree-Index Algorithm. - Yuhang Jiao 001; Yueting Yang; Lixin Cui; Lu Bai 001 (GbRPR, 2019)

Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. - Yue Wang 014; Yao Wan 001; Chenwei Zhang; Lu Bai 001; Lixin Cui; Philip S. Yu (ICDM, 2019)

Loan Recommendation in P2P Lending Investment Networks: A Hybrid Graph Convolution Approach. - Yibo Chai; Yahu Cong; Lu Bai 001; Lixin Cui (IEEM, 2019)

Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Edwin R. Hancock (ECML/PKDD (1), 2019)

Learning Vertex Convolutional Networks for Graph Classification. - Lu Bai 001; Lixin Cui; Shu Wu; Yuhang Jiao 001; Edwin R. Hancock (CoRR, 2019)

Fused Lasso for Feature Selection using Structural Information. - Lixin Cui; Lu Bai 001; Edwin R. Hancock (CoRR, 2019)

Deep depth-based representations of graphs through deep learning networks. - Lu Bai 001; Lixin Cui; Xiao Bai 001; Edwin R. Hancock (Neurocomputing, 2019)

Identifying the most informative features using a structurally interacting elastic net. - Lixin Cui; Lu Bai 001; Zhihong Zhang 001; Yue Wang 014; Edwin R. Hancock (Neurocomputing, 2019)

Quantum-based subgraph convolutional neural networks. - Zhihong Zhang 001; Dongdong Chen 003; Jianjia Wang; Lu Bai 001; Edwin R. Hancock (Pattern Recognit., 2019)

Depth-based subgraph convolutional auto-encoder for network representation learning. - Zhihong Zhang 001; Dongdong Chen 003; Zeli Wang; Heng Li 001; Lu Bai 001; Edwin R. Hancock (Pattern Recognit., 2019)

Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. - Yue Wang 014; Zhuo Xu; Lu Bai 001; Yao Wan 001; Lixin Cui; Qian Zhao; Edwin R. Hancock; Philip S. Yu (ICPR, 2020)

A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. - Lu Bai 001; Lixin Cui; Yue Wang 014; Yuhang Jiao 001; Edwin R. Hancock (IJCAI, 2020)

Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. - Lixin Cui; Lichi Zhang; Lu Bai 001; Yue Wang 014; Edwin R. Hancock (S+SSPR, 2020)

LGL-GNN: Learning Global and Local Information for Graph Neural Networks. - Huan Li; Boyuan Wang; Lixin Cui; Lu Bai 001; Edwin R. Hancock (S+SSPR, 2020)

Graph Transformer: Learning Better Representations for Graph Neural Networks. - Boyuan Wang; Lixin Cui; Lu Bai 001; Edwin R. Hancock (S+SSPR, 2020)

Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. - Lixiang Xu; Xiaofeng Wang 009; Lu Bai 001; Jin Xiao; Qi Liu 003; Enhong Chen; Xiaoyi Jiang 001; Bin Luo 001 (Pattern Recognit., 2020)

Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks. - Zhihong Zhang 001; Yangbin Zeng; Lu Bai 001; Yiqun Hu; Meihong Wu; Shuai Wang 049; Edwin R. Hancock (Pattern Recognit., 2020)

Local-global nested graph kernels using nested complexity traces. - Lu Bai 001; Lixin Cui; Luca Rossi 004; Lixiang Xu; Xiao Bai 001; Edwin R. Hancock (Pattern Recognit. Lett., 2020)

A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Jian Cheng 001; Edwin R. Hancock (IEEE Trans. Cybern., 2020)

Generative temporal link prediction via self-tokenized sequence modeling. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui; Guandong Xu (World Wide Web, 2020)

ABAE: Utilize Attention to Boost Graph Auto-Encoder. - Tianyu Liu; Yifan Li; Yujie Sun; Lixin Cui; Lu Bai 001 (PRICAI (2), 2021)

Multiple graph kernel learning based on GMDH-type neural network. - Lixiang Xu; Lu Bai 001; Jin Xiao; Qi Liu 003; Enhong Chen; Xiaofeng Wang 009; Yuanyan Tang (Inf. Fusion, 2021)

Fused lasso for feature selection using structural information. - Lixin Cui; Lu Bai 001; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (Pattern Recognit., 2021)

Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection. - Lixin Cui; Lu Bai 001; Yanchao Wang; Xin Jin 007; Edwin R. Hancock (Pattern Recognit., 2021)

Deep Rényi entropy graph kernel. - Lixiang Xu; Lu Bai 001; Xiaoyi Jiang 001; Ming Tan; Daoqiang Zhang; Bin Luo 001 (Pattern Recognit., 2021)

Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Luca Rossi 004; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (ICDE, 2022)

A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. - Lu Bai 001; Lixin Cui; Edwin R. Hancock (ICML, 2022)

ABDPool: Attention-based Differentiable Pooling. - Yue Liu; Lixin Cui; Yue Wang 014; Lu Bai 001 (ICPR, 2022)

Writing Style Aware Document-level Event Extraction. - Zhuo Xu; Yue Wang 014; Lu Bai 001; Lixin Cui (CoRR, 2022)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Edwin R. Hancock (CoRR, 2022)

QESK: Quantum-based Entropic Subtree Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Edwin R. Hancock (CoRR, 2022)

Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. - Lu Bai 001; Lixin Cui; Yuhang Jiao 001; Luca Rossi 004; Edwin R. Hancock (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. - Rongji Ye; Lixin Cui; Luca Rossi 004; Yue Wang 014; Zhuo Xu; Lu Bai 001; Edwin R. Hancock (GbRPR, 2023)

AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. - Lixin Cui; Ming Li 065; Yue Wang 014; Lu Bai 001; Edwin R. Hancock (CoRR, 2023)

Graph Representation Learning for Infrared and Visible Image Fusion. - Jing Li 040; Lu Bai 001; Bin Yang 008; Chang Li 001; Lingfei Ma; Edwin R. Hancock (CoRR, 2023)

TFIV: Multigrained Token Fusion for Infrared and Visible Image via Transformer. - Jing Li 040; Bin Yang 008; Lu Bai 001; Hao Dou; Chang Li 001; Lingfei Ma (IEEE Trans. Instrum. Meas., 2023)

Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Luca Rossi 004; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2023)

Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. - Lu Bai 001; Lixin Cui; Zhihong Zhang 001; Lixiang Xu; Yue Wang 014; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2023)

Graph Motif Entropy for Understanding Time-Evolving Networks. - Zhihong Zhang 001; Dongdong Chen 003; Lu Bai 001; Jianjia Wang; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multiple Pedestrian Tracking With Graph Attention Map on Urban Road Scene. - Zhihui Wang 003; Zhiyuan Li 013; Jiaxu Leng; Ming Li 065; Lu Bai 001 (IEEE Trans. Intell. Transp. Syst., 2023)

BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation. - Ming Li 065; Lin Zhang; Lixin Cui; Lu Bai 001; Zhao Li 007; Xindong Wu 001 (Pattern Recognit., 2023)

QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. - Lu Bai 001; Lixin Cui; Ming Li 065; Yue Wang 014; Edwin R. Hancock (ICML, 2024)

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. - Lu Bai 001; Zhuo Xu; Lixin Cui; Ming Li 065; Yue Wang 014; Edwin R. Hancock (NeurIPS, 2024)

Population Aging and High-Quality Economic Development: Based on Feature Selection and Empirical Analysis of Provincial Panel Data. - Luomeng Zhang; Lixin Cui; Lu Bai 001 (WHICEB (3), 2024)

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. - Feifei Qian; Lixin Cui; Yue Wang 014; Hangyuan Du; Lu Bai 001; Edwin R. Hancock (CoRR, 2024)

SSHPool: The Separated Subgraph-based Hierarchical Pooling. - Zhuo Xu; Lixin Cui; Yue Wang 014; Hangyuan Du; Lu Bai 001; Edwin R. Hancock (CoRR, 2024)

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. - Zhehan Zhao; Lu Bai 001; Lixin Cui; Ming Li 065; Yue Wang 014; Lixiang Xu; Edwin R. Hancock (CoRR, 2024)

Knowledge Probing for Graph Representation Learning. - Mingyu Zhao; Xingyu Huang; Ziyu Lyu; Yanlin Wang 001; Lixin Cui; Lu Bai 001 (CoRR, 2024)

Metalantis: A Comprehensive Underwater Image Enhancement Framework. - Hao Wang 192; Weibo Zhang; Lu Bai 001; Peng Ren 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

QBER: Quantum-based Entropic Representations for un-attributed graphs. - Lixin Cui; Ming Li 065; Lu Bai 001; Yue Wang 014; Jing Li 040; Yanchao Wang; Zhao Li 007; Yunwen Chen; Edwin R. Hancock (Pattern Recognit., 2024)

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. - Yue Wang 014; Yao Wan 001; Lu Bai 001; Lixin Cui; Zhuo Xu; Ming Li 065; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2024)

Learning Aligned Vertex Convolutional Networks for Graph Classification. - Lixin Cui; Lu Bai 001; Xiao Bai 001; Yue Wang 014; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction. - Ming Li 065; Xiaosheng Zhuang; Lu Bai 001; Weiping Ding 001 (Inf. Fusion, 2024)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Jing Li 040; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2024)

Deep Hypergraph Neural Networks with Tight Framelets. - Ming Li 065; Yujie Fang; Yi Wang 022; Han Feng; Yongchun Gu; Lu Bai 001; Pietro Liò (AAAI, 2025)

When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline. - Ming Li 065; Yongchun Gu; Yi Wang 022; Yujie Fang; Lu Bai 001; Xiaosheng Zhuang; Pietro Liò (AAAI, 2025)

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification. - Feifei Qian; Lu Bai 001; Lixin Cui; Ming Li 065; Ziyu Lyu; Hangyuan Du; Edwin R. Hancock (AAAI, 2025)

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). - Lu Bai 001; Lixin Cui; Ming Li 065; Peng Ren 001; Yue Wang 014; Lichi Zhang; Philip S. Yu; Edwin R. Hancock (ICDE, 2025)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Jing Li 040; Philip S. Yu; Edwin R. Hancock (ICDE, 2025)

Hidden Market Patterns: A Spatio-Temporal Graph Auto-Encoder for Stock Price Forecasting and Portfolio Optimization Strategy. - Han Fu; Zhuo Xu; Zhipeng Cui; Lu Bai 001; Lixin Cui (ICIC (15), 2025)

FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System. - Yuhan Hu; Ziyu Lyu; Lu Bai 001; Lixin Cui (SIGIR, 2025)

Research on the Resilience and Security in Chinese Robot Industry Comparative Analysis of Provincial - Level Disparities. - Peilin Liu; Zhipeng Cui; Yu Duan; Lixin Cui; Lu Bai 001 (WHICEB (2), 2025)

Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation. - Jiandong Shi; Ming Li 065; Yuting Chen; Lixin Cui; Lu Bai 001 (Inf. Sci., 2025)

Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification. - Dongdong Chen 003; Mengjun Liu; Sheng Wang 014; Zheren Li; Lu Bai 001; Qian Wang 001; Dinggang Shen; Lichi Zhang (Knowl. Based Syst., 2025)

FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation. - Ming Li 065; Jiandong Shi; Lu Bai 001; Changqin Huang; Yunliang Jiang; Ke Lu; Shijin Wang; Edwin R. Hancock (Pattern Recognit., 2025)

Multi-Level Knowledge Distillation with Positional Encoding Enhancement. - Lixiang Xu; Zhiwen Wang; Lu Bai 001; Shengwei Ji; Bing Ai; Xiaofeng Wang; Philip S. Yu (Pattern Recognit., 2025)

Graph Representation Learning for Infrared and Visible Image Fusion. - Jing Li 040; Lu Bai 001; Bin Yang 008; Chang Li 001; Lingfei Ma (IEEE Trans Autom. Sci. Eng., 2025)

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. - Lu Bai 001; Lixin Cui; Ming Li 065; Peng Ren 001; Yue Wang 014; Lichi Zhang; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2025)

Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing. - Lixiang Xu; Xianwei Ding; Xin Yuan 008; Zhanlong Wang; Lu Bai 001; Enhong Chen; Philip S. Yu; Yuanyan Tang (CoRR, 2025)

MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework. - Yupeng Qi; Ziyu Lyu; Min Yang 002; Yanlin Wang 001; Lu Bai 001; Lixin Cui (CoRR, 2025)

Dual-Modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. - Jing Li 040; Lu Bai 001; Bin Yang 008; Chang Li 001; Lingfei Ma; Lixin Cui; Edwin R. Hancock (IEEE Trans. Intell. Transp. Syst., 2025)