Representation Learning Based on Influence of Node for Multiplex Network. - Nianwen Ning; Bin Wu 001; Chengcheng Peng (DSC, 2018)

Strengthening social networks analysis by networks fusion. - Feiyu Long; Nianwen Ning; Chenguang Song; Bin Wu 001 (ASONAM, 2019)

A hierarchical insurance recommendation framework using GraphOLAM approach. - Sirui Sun; Bin Wu 001; Zixing Zhang 002; Nianwen Ning; Bai Wang 001 (ASONAM, 2019)

Community Preserving Node Embedding Based on Seed-Expansion Sampling. - Yilin Yang; Nianwen Ning; Yunlei Zhang; Bin Wu 001 (DSC, 2019)

An Adaptive Cross-Layer Sampling-Based Node Embedding for Multiplex Networks. - Nianwen Ning; Chenguang Song; Pengpeng Zhou; Yunlei Zhang; Bin Wu 001 (ICTAI, 2019)

Jointly Modeling Community and Topic in Social Network. - Yunlei Zhang; Nianwen Ning; Jinna Lv; Chenguang Song; Bin Wu 001 (KSEM (1), 2019)

A Novel Event Detection Model Based on Graph Convolutional Network. - Pengpeng Zhou; Baoli Zhang; Bin Wu 001; Yao Luo; Nianwen Ning; Jiaying Gong (WISE Workshops, 2019)

Dynamic Topical Community Detection in Social Network: A Generative Model Approach. - Yunlei Zhang; Bin Wu 001; Nianwen Ning; Chenguang Song; Jinna Lv (IEEE Access, 2019)

Continuous Similarity Learning with Shared Neural Semantic Representation for Joint Event Detection and Evolution. - Pengpeng Zhou; Yao Luo; Nianwen Ning; Zhen Cao; Bingjing Jia; Bin Wu 001 (Comput. Intell. Neurosci., 2020)

Nonlinear Structural Fusion for Multiplex Network. - Nianwen Ning; Feiyu Long; Chunchun Wang; Youjie Zhang; Yilin Yang; Bin Wu 001 (Complex., 2020)

Mining latent academic social relationships by network fusion of multi-type data. - Feiyu Long; Nianwen Ning; Yunlei Zhang; Chenguang Song; Pengpeng Zhou; Bin Wu 001 (Soc. Netw. Anal. Min., 2020)

UT-ATD: Universal Transformer for Anomalous Trajectory Detection by Embedding Trajectory Information. - Yun Zhang; Nianwen Ning; Pengpeng Zhou; Bin Wu 001 (DMSVIVA, 2021)

SACS-LSTM: A Vehicle Trajectory Prediction Method Based on Self-Attention Mechanism#. - Huxiao Wang; Danyang Zhou; Yanyu Zhang; Nianwen Ning; Yi Zhou (EITCE, 2021)

Disentangled-based Adversarial Network for Multiplex Network Embedding. - Shimeng Zhan; Nianwen Ning; Kai Zhao 009; Lianwei Li; Bin Wu 001; Bai Wang 001 (IJCNN, 2021)

Dependency Parsing Representation Learning for Open Information Extraction. - Zekun Li 003; Nianwen Ning; Chengcheng Peng; Bin Wu 001 (KSEM, 2021)

Embedding-Based Network Alignment Using Neural Tensor Networks. - Qiuyue Li; Nianwen Ning; Bin Wu 001; Wenying Guo (KSEM, 2021)

Multiplex Network Embedding Model with High-Order Node Dependence. - Nianwen Ning; Qiuyue Li; Kai Zhao 009; Bin Wu 001 (Complex., 2021)

An adaptive node embedding framework for multiplex networks. - Nianwen Ning; Yilin Yang; Chenguang Song; Bin Wu 001 (Intell. Data Anal., 2021)

Knowledge augmented transformer for adversarial multidomain multiclassification multimodal fake news detection. - Chenguang Song; Nianwen Ning; Yunlei Zhang; Bin Wu 001 (Neurocomputing, 2021)

A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks. - Chenguang Song; Nianwen Ning; Yunlei Zhang; Bin Wu 001 (Inf. Process. Manag., 2021)

An Intelligent Multimode Clustering Mechanism Using Driving Pattern Recognition in Cognitive Internet of Vehicles. - Huigang Chang; Nianwen Ning (Sensors, 2021)

Spatial-Temporal Multiscale Fusion Graph Neural Network for Traffic Flow Prediction. - Hongxin Hou; Nianwen Ning; Huaguang Shi; Yi Zhou 004 (ICITE, 2022)

Energy Efficiency Aware Collaborative Multi-UAV Deployment for Intelligent Traffic Surveillance. - Xiang Cheng; Huaguang Shi; Zhanqi Jin; Nianwen Ning; Yanyu Zhang; Yi Zhou 004 (LATINCOM, 2022)

Dynamic Spatial-Temporal Dual Graph Neural Networks for Urban Traffic Prediction. - Li Wang; Nianwen Ning; Yihan Liu; Yining Lv; Yongmeng Tian; Yanyu Zhang; Yi Zhou (PRICAI (1), 2022)

A lexical psycholinguistic knowledge-guided graph neural network for interpretable personality detection. - Yangfu Zhu; Linmei Hu; Nianwen Ning; Wei Zhang; Bin Wu 001 (Knowl. Based Syst., 2022)

Knowledge Representation-Actuated Based Spatio-Temporal Graph Neural Network Traffic Flow Prediction. - Yihan Liu; Nianwen Ning; Ning Lu 001; Yi Zhou 004 (GLOBECOM, 2023)

Interactive Attention-Based Graph Transformer for Multi-intersection Traffic Signal Control. - Yining Lv; Nianwen Ning; Hengji Li; Li Wang; Yanyu Zhang; Yi Zhou (ICONIP (2), 2023)

Vehicular Multimodal Motion Forecasting via Conditional Score-based Modeling. - Zhangyun Wang; Nianwen Ning; Shihan Tian; Ning Lu 001; Nan Cheng; Yi Zhou 004 (VTC Fall, 2023)

Adaptive Multi-Agent Trajectory Prediction with Hierarchical Graph-Based Environment Fusion. - Shihan Tian; Nianwen Ning; Wei Li 230; Lin Chen; Yanyu Zhang; Yi Zhou 004 (MSN, 2024)

Barycentric Coordinate-Based Distributed Localization Over 3-D Underwater Wireless Sensor Networks. - Lei Shi 012; Shaojie Yao; Nianwen Ning; Yi Zhou 004 (IEEE Trans. Signal Inf. Process. over Networks, 2024)

I2T: From Intention Decoupling to Vehicular Trajectory Prediction Based on Prioriformer Networks. - Yi Zhou 004; Zhangyun Wang; Nianwen Ning; Zhanqi Jin; Ning Lu 001; Xuemin Shen (IEEE Trans. Intell. Transp. Syst., 2024)

Graph Alignment Neural Network Model With Graph to Sequence Learning. - Nianwen Ning; Bin Wu 001; Haoqing Ren; Qiuyue Li (IEEE Trans. Knowl. Data Eng., 2024)

HMLight: Hierarchical Multi-Agent Deep Reinforcement Learning with Long-Short-Term Planning in Traffic Signal Control. - Nan He; Nianwen Ning; Yi Zhou (ICIC (12), 2025)

Spatial-temporal Causal Fusion Graph Neural Networks for urban traffic prediction. - Nianwen Ning; Wenbo Zhang; Wei Li 230; Hengji Li; Yanyu Zhang; Yi Zhou 004; Fuqiang Liu 001 (Comput. Networks, 2025)

Heterogeneous agents trajectory prediction with dynamic interaction relational reasoning. - Nianwen Ning; Shihan Tian; Hengji Li; Wei Li 230; Chang Liu; Yi Zhou 004; Xiaozhi Gao 001 (Neurocomputing, 2025)

Reaching Opinion Consensus on Leader-Follower Signed Social Networks With Communication Delays. - Lei Shi 012; Yi Zhou 004; Le Fu; Nianwen Ning; Jiayuan Yan; Qian Qiu (IEEE Trans. Autom. Control., 2025)