| 2026 | AAAI | LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation. | Lin Du, Lu Bai, Jincheng Li, Lixin Cui, Hangyuan Du, Lichi Zhang, Yuting Chen, Zhao Li |
| 2026 | AAAI | Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction. | Ming Li, Huiting Wang, Yuting Chen, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv |
| 2026 | AAAI | Permutation Equivariant Framelet-based Hypergraph Neural Networks. | Ming Li, Yi Wang, Chengling Gao, Lu Bai, Yujie Fang, Xiaosheng Zhuang, Pietro Lio |
| 2026 | AAAI | Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation. | Ming Li, Zihao Yan, Yuting Chen, Lixin Cui, Lu Bai, Feilong Cao, Ke Lv, Zhao Li |
| 2026 | AAAI | HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning. | Ming Li, Zhanle Zhu, Xinyi Li, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv |
| 2026 | AAAI | HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters. | Ming Li, Ruiting Zhao, Zihao Yan, Lu Bai, Lixin Cui, Feilong Cao |
| 2026 | AAAI | SSHPool: The Separated Subgraph-based Hierarchical Pooling. | Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Ziyu Lyu, Yue Wang, Edwin R. Hancock |
| 2026 | ACL | Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding. | Yupeng Qi, Ziyu Lyu, Lixin Cui, Lu Bai, Feng Xia |
| 2026 | ISKE | Entropy-Based Graph Embedding for Credit Risk Evaluation Incorporating Sample Correlations. | Mingyu Liu, Lixin Cui, Xin Jin, Zhipeng Cui, Lu Bai |
| 2026 | WWW | RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation. | Jin Zeng, Yupeng Qi, Hui Li, Chengming Li, Ziyu Lyu, Lixin Cui, Lu Bai |
| 2025 | AAAI | Deep Hypergraph Neural Networks with Tight Framelets. | Ming Li, Yujie Fang, Yi Wang, Han Feng, Yongchun Gu, Lu Bai, Pietro Li |
| 2025 | AAAI | When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline. | Ming Li, Yongchun Gu, Yi Wang, Yujie Fang, Lu Bai, Xiaosheng Zhuang, Pietro Li |
| 2025 | AAAI | 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 |
| 2025 | EMNLP | MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework. | Yupeng Qi, Ziyu Lyu, Min Yang, Yanlin Wang, Lu Bai, Lixin Cui |
| 2025 | ICDE | AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). | Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock |
| 2025 | ICDE | HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). | Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock |
| 2025 | ICDM | Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation. | Yue Wang, Dehang Fu, Jie Tan, Junxiao Han, Yao Wan, Lixin Cui, Lu Bai, Philip S. Yu |
| 2025 | ICML | 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 |
| 2025 | ICML | HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks. | Tingyi Cai, Yunliang Jiang, Ming Li, Lu Bai, Changqin Huang, Yi Wang |
| 2025 | ICML | 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 R. Hancock |
| 2025 | IJCAI | AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. | Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition. | Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | 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 |
| 2025 | IJCNN | Enhancing Out-of-distribution Generalization for Graph Learning with Causal Information Bottleneck. | Hangyuan Du, Shuaijun Li, Liang Bai, Lu Bai, Wenjian Wang |
| 2025 | IJCNN | A Graph Contrastive Recommendation Model Based on Dual-channel Data Augmentation. | Hangyuan Du, Liting Ma, Liang Bai, Lu Bai, Wenjian Wang |
| 2025 | MICCAI | Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching. | Manman Fei, Zhenrong Shen, Mengjun Liu, Zhiyun Song, Yusong Sun, Xu Han, Zelin Liu, Haotian Jiang, Lu Bai, Qian Wang, Lichi Zhang |
| 2025 | MICCAI | RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis. | 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 | SIGIR | FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System. | Yuhan Hu, Ziyu Lyu, Lu Bai, Lixin Cui |
| 2024 | ICML | QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. | Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock |
| 2024 | IGARSS | Extraction of Aquaculture Cages from High-Resolution Remote Sensing Images Based on Deep Learning. | Ying Yuan, Fei Li, Dan Zhou, Lu Bai, Anna Jurek-Loughrey, Zhibao Wang |
| 2024 | ICPR | SimDrop: Towards Deep Graph Convolutional Networks. | Gongjunjian Zhang, Lu Bai |
| 2023 | HCI | Objectively Assessing and Comparing the User Experience of Two Thousand Digital Health Apps. | Maciej Hyzy, Raymond R. Bond, Maurice D. Mulvenna, Lu Bai, Robert Daly, Simon Leigh |
| 2023 | IGARSS | Detection of Heavy-Polluting Enterprises from Optical Satellite Remote Sensing Images. | Zhibao Wang, Xi Zhao, Lu Bai, Mei Wang, Man Zhao, Meng Fan, Jinhua Tao, Liangfu Chen |
| 2023 | IGARSS | Semantic Segmentation of Oil Well Sites Using Sentinel-2 Imagery. | Hao Wu, Hongli Dong, Zhibao Wang, Lu Bai, Fengcai Huo, Jinhua Tao, Liangfu Chen |
| 2023 | SIGIR | TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data. | Yueyang Su, Di Yao, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi |
| 2022 | ICDE | Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). | Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock |
| 2022 | ICML | A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. | Lu Bai, Lixin Cui, Edwin R. Hancock |
| 2022 | ICPR | ABDPool: Attention-based Differentiable Pooling. | Yue Liu, Lixin Cui, Yue Wang, Lu Bai |
| 2022 | ICPR | Cooperation of Boundary Attention and Negative Matrix L1 Regularization Loss Function for Polyp Segmentation. | Guoqi Liu, Manqi Zhao, Lu Bai, Zhengnan Guo |
| 2022 | IGARSS | Photovoltaic Installations Change Detection from Remote Sensing Images Using Deep Learning. | Kaiyuan Shi, Lu Bai, Zhibao Wang, Xifeng Tong, Maurice D. Mulvenna, Raymond R. Bond |
| 2022 | IGARSS | Application of an Improved U-Net Neural Network on Fracture Segmentation from Outcrop Images. | Zhibao Wang, Ziming Zhang, Lu Bai, Yuze Yang, Qiang Ma |
| 2021 | IGARSS | Implementation of a Federated Large-Scale Remote Sensing Data Sharing Platform. | Xuan Ma, Zhibao Wang, Lu Bai, Bingbing Xu, Juntao Gao, Bilong Wen, Jinhua Tao |
| 2021 | IGARSS | Remote Sensing Inversion of PM10 Based on Spark Platform. | Zhenyu Yu, Zhibao Wang, Lu Bai, Liangfu Chen, Jinhua Tao |
| 2021 | IGARSS | Deforestation Detection Based on U-Net and LSTM in Optical Satellite Remote Sensing Images. | Jie Zhang, Zhibao Wang, Lu Bai, Guangfu Song, Jinhua Tao, Liangfu Chen |
| 2021 | PRICAI | ABAE: Utilize Attention to Boost Graph Auto-Encoder. | Tianyu Liu, Yifan Li, Yujie Sun, Lixin Cui, Lu Bai |
| 2021 | SMC | Optimal Charging of Supercapacitors with Limited Charging Time. | Heng Li, Lu Bai, Dianzhu Gao, Jun Peng, Zhiwu Huang |
| 2020 | ICPR | Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. | Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu |
| 2020 | IJCAI | A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. | Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock |
| 2020 | SSPR | Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. | Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock |
| 2020 | SSPR | LGL-GNN: Learning Global and Local Information for Graph Neural Networks. | Huan Li, Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock |
| 2020 | SSPR | Graph Transformer: Learning Better Representations for Graph Neural Networks. | Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock |
| 2019 | ICDM | Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. | Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu |
| 2019 | ICTAI | Manifold Regularized Stochastic Block Model. | Tiantian He, Lu Bai, Yew-Soon Ong |
| 2018 | ICPR | A Deep Hybrid Graph Kernel Through Deep Learning Networks. | Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock |
| 2018 | ICPR | Depth-based Subgraph Convolutional Neural Networks. | Chuanyu Xu, Dong Wang, Zhihong Zhang, Beizhan Wang, Da Zhou, Guijun Ren, Lu Bai, Lixin Cui, Edwin R. Hancock |
| 2018 | ICPR | A Unified Neighbor Reconstruction Method for Embeddings. | Zhiling Ye, Zhihong Zhang, Lu Bai, Guosheng Hu, Zheng-Jian Bai, Yiqun Hu, Edwin R. Hancock |
| 2018 | SSPR | A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. | Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock |
| 2018 | SSPR | A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs. | Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock |
| 2018 | SSPR | Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. | Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang |
| 2018 | SSPR | Directed Network Analysis Using Transfer Entropy Component Analysis. | Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui, Lu Bai, Edwin R. Hancock |
| 2018 | SSPR | Single Image Super Resolution via Neighbor Reconstruction. | Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai |
| 2017 | CIKM | Fast K-means for Large Scale Clustering. | Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng |
| 2017 | ICIAP | Deep Face Model Compression Using Entropy-Based Filter Selection. | Bingbing Han, Zhihong Zhang, Chuanyu Xu, Beizhan Wang, Guosheng Hu, Lu Bai, Qingqi Hong, Edwin R. Hancock |
| 2017 | VTC | A 3-D Wideband Multi-Confocal Ellipsoid Model for Wireless Massive MIMO Communication Channels with Uniform Planar Antenna Array. | Lu Bai, Cheng-Xiang Wang, Shangbin Wu, Jian Sun, Wensheng Zhang |
| 2016 | CIS | The Effect of Shared L2 Cache on Determinism in Airborne Embedded System. | Lu Bai, Jiansheng Wang, Baolei Huang |
| 2016 | ICPR | A transitive aligned Weisfeiler-Lehman subtree kernel. | Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock |
| 2016 | ICPR | A novel entropy-based graph signature from the average mixing matrix. | Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock |
| 2016 | ICPR | An edge-based matching kernel on commute-time spanning trees. | Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock |
| 2016 | ICPR | Shape classification with a vertex clustering graph kernel. | Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock |
| 2016 | ICPR | Link prediction via Supervised Dynamic Network Formation. | Yue Wang, Lu Bai |
| 2016 | PERCOM | weSport: Utilising wrist-band sensing to detect player activities in basketball games. | Lu Bai, Christos Efstratiou, Chee Siang Ang |
| 2016 | SSPR | P2P Lending Analysis Using the Most Relevant Graph-Based Features. | Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock |
| 2015 | CAIP | A High-Order Depth-Based Graph Matching Method. | Lu Bai, Zhihong Zhang, Peng Ren, Edwin R. Hancock |
| 2015 | CAIP | An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs. | Lu Bai, Zhihong Zhang, Chaoyan Wang, Edwin R. Hancock |
| 2015 | CAIP | Adaptive Graph Learning for Unsupervised Feature Selection. | Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock |
| 2015 | ICIAP | An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks. | Lu Bai, Zhihong Zhang, Peng Ren, Luca Rossi, Edwin R. Hancock |
| 2015 | ICIAP | Unsupervised Feature Selection by Graph Optimization. | Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock |
| 2015 | ICML | An Aligned Subtree Kernel for Weighted Graphs. | Lu Bai, Luca Rossi, Zhihong Zhang, Edwin R. Hancock |
| 2015 | IJCAI | A Graph Kernel Based on the Jensen-Shannon Representation Alignment. | Lu Bai, Zhihong Zhang, Chaoyan Wang, Xiao Bai, Edwin R. Hancock |
| 2014 | DSAA | Semi-randomized hashing for large scale data retrieval. | Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai |
| 2014 | ECIR | Local Linear Matrix Factorization for Document Modeling. | Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2014 | ICPR | An Attributed Graph Kernel from the Jensen-Shannon Divergence. | Lu Bai, Horst Bunke, Edwin R. Hancock |
| 2014 | ICPR | Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs. | Lu Bai, Edwin R. Hancock, Peng Ren, Francisco Escolano |
| 2014 | ICPR | A Hypergraph Kernel from Isomorphism Tests. | Lu Bai, Peng Ren, Edwin R. Hancock |
| 2014 | SSPR | A Graph Kernel from the Depth-Based Representation. | Lu Bai, Peng Ren, Xiao Bai, Edwin R. Hancock |
| 2014 | SSPR | Transitive State Alignment for the Quantum Jensen-Shannon Kernel. | Andrea Torsello, Andrea Gasparetto, Luca Rossi, Lu Bai, Edwin R. Hancock |
| 2013 | CAIP | A Graph Embedding Method Using the Jensen-Shannon Divergence. | Lu Bai, Edwin R. Hancock, Lin Han |
| 2013 | ICIAP | A Fast Jensen-Shannon Subgraph Kernel. | Lu Bai, Edwin R. Hancock |
| 2013 | WSDM | Group sparse topical coding: from code to topic. | Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2012 | ICPR | Graph clustering using graph entropy complexity traces. | Lu Bai, Edwin R. Hancock, Lin Han, Peng Ren |
| 2012 | ICPR | Jensen-Shannon graph kernel using information functionals. | Lu Bai, Edwin R. Hancock, Peng Ren |
| 2012 | ICPR | Sampling graphs from a probabilistic generative model. | Lin Han, Richard C. Wilson, Edwin R. Hancock, Lu Bai, Peng Ren |
| 2012 | SSPR | Graph Complexity from the Jensen-Shannon Divergence. | Lu Bai, Edwin R. Hancock |
| 2012 | SSPR | A Jensen-Shannon Kernel for Hypergraphs. | Lu Bai, Edwin R. Hancock, Peng Ren |
| 2011 | CAIP | Graph Clustering Using the Jensen-Shannon Kernel. | Lu Bai, Edwin R. Hancock |
| 2010 | PADS | P-GAS: Parallelizing a Cycle-Accurate Event-Driven Many-Core Processor Simulator Using Parallel Discrete Event Simulation. | Huiwei Lv, Yuan Cheng, Lu Bai, Mingyu Chen, Dongrui Fan, Ninghui Sun |
| 2008 | CEC | The "China-brain" project A four year, 3 million RMB project to build a 15, 000 evolved neural net module artificial brain in China. | Hugo de Garis, Jian Yu Tang, Zhiyong Huang, Lu Bai, Cong Chen, Shuo Chen, Junfei Guo, Xianjin Tan, Tian Hao, Xiaohan Tian, Xianjian Wu, Ye Xiong, Yu Xianggian, Di Huang |
| 2008 | WCNC | A Novel Cooperation Scheme for Wireless Sensor Networks. | Lu Bai, Lian Zhao, Zaiyi Liao |
| 2006 | IGARSS | InSAR Co-registration Accuracy Assessment Based on Misregistration Value. | Lu Bai, Yanping Wang, Lideng Wei, Wen Hong, Hailiang Peng |