Nianwen Ning

According to our database, Nianwen Ning authored at least 28 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Vehicular Multimodal Motion Forecasting via Conditional Score-based Modeling.

Zhangyun Wang, Nianwen Ning, Shihan Tian, Ning Lu, Nan Cheng, Yi Zhou

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Interactive Attention-Based Graph Transformer for Multi-intersection Traffic Signal Control.

Yining Lv, Nianwen Ning, Hengji Li, Li Wang, Yanyu Zhang, Yi Zhou

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Knowledge Representation-Actuated Based Spatio-Temporal Graph Neural Network Traffic Flow Prediction.

Yihan Liu, Nianwen Ning, Ning Lu, Yi Zhou

Proceedings of the IEEE Global Communications Conference, 2023

2022

A lexical psycholinguistic knowledge-guided graph neural network for interpretable personality detection.

Yangfu Zhu, Linmei Hu, Nianwen Ning, Wei Zhang, Bin Wu

Knowl. Based Syst., 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

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Energy Efficiency Aware Collaborative Multi-UAV Deployment for Intelligent Traffic Surveillance.

Xiang Cheng, Huaguang Shi, Zhanqi Jin, Nianwen Ning, Yanyu Zhang, Yi Zhou

Proceedings of the IEEE Latin-American Conference on Communications, 2022

Spatial-Temporal Multiscale Fusion Graph Neural Network for Traffic Flow Prediction.

Hongxin Hou, Nianwen Ning, Huaguang Shi, Yi Zhou

Proceedings of the 7th IEEE International Conference on Intelligent Transportation Engineering, 2022

2021

An Intelligent Multimode Clustering Mechanism Using Driving Pattern Recognition in Cognitive Internet of Vehicles.

Huigang Chang, Nianwen Ning

Sensors, 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

Inf. Process. Manag., 2021

Knowledge augmented transformer for adversarial multidomain multiclassification multimodal fake news detection.

Chenguang Song, Nianwen Ning, Yunlei Zhang, Bin Wu

Neurocomputing, 2021

An adaptive node embedding framework for multiplex networks.

Nianwen Ning, Yilin Yang, Chenguang Song, Bin Wu

Intell. Data Anal., 2021

Multiplex Network Embedding Model with High-Order Node Dependence.

Nianwen Ning, Qiuyue Li, Kai Zhao, Bin Wu

Complex., 2021

Embedding-Based Network Alignment Using Neural Tensor Networks.

Qiuyue Li, Nianwen Ning, Bin Wu, Wenying Guo

Proceedings of the Knowledge Science, Engineering and Management, 2021

Dependency Parsing Representation Learning for Open Information Extraction.

Zekun Li, Nianwen Ning, Chengcheng Peng, Bin Wu

Proceedings of the Knowledge Science, Engineering and Management, 2021

Disentangled-based Adversarial Network for Multiplex Network Embedding.

Shimeng Zhan, Nianwen Ning, Kai Zhao, Lianwei Li, Bin Wu, Bai Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

SACS-LSTM: A Vehicle Trajectory Prediction Method Based on Self-Attention Mechanism#.

Huxiao Wang, Danyang Zhou, Yanyu Zhang, Nianwen Ning, Yi Zhou

Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

UT-ATD: Universal Transformer for Anomalous Trajectory Detection by Embedding Trajectory Information.

Yun Zhang, Nianwen Ning, Pengpeng Zhou, Bin Wu

Proceedings of the 27th International DMS Conference on Visualization and Visual Languages, 2021

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

Soc. Netw. Anal. Min., 2020

Nonlinear Structural Fusion for Multiplex Network.

Nianwen Ning, Feiyu Long, Chunchun Wang, Youjie Zhang, Yilin Yang, Bin Wu

Complex., 2020

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

Comput. Intell. Neurosci., 2020

2019

Dynamic Topical Community Detection in Social Network: A Generative Model Approach.

Yunlei Zhang, Bin Wu, Nianwen Ning, Chenguang Song, Jinna Lv

IEEE Access, 2019

A Novel Event Detection Model Based on Graph Convolutional Network.

Pengpeng Zhou, Baoli Zhang, Bin Wu, Yao Luo, Nianwen Ning, Jiaying Gong

Proceedings of the Web Information Systems Engineering, 2019

Jointly Modeling Community and Topic in Social Network.

Yunlei Zhang, Nianwen Ning, Jinna Lv, Chenguang Song, Bin Wu

Proceedings of the Knowledge Science, Engineering and Management, 2019

An Adaptive Cross-Layer Sampling-Based Node Embedding for Multiplex Networks.

Nianwen Ning, Chenguang Song, Pengpeng Zhou, Yunlei Zhang, Bin Wu

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Community Preserving Node Embedding Based on Seed-Expansion Sampling.

Yilin Yang, Nianwen Ning, Yunlei Zhang, Bin Wu

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

A hierarchical insurance recommendation framework using GraphOLAM approach.

Sirui Sun, Bin Wu, Zixing Zhang, Nianwen Ning, Bai Wang

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Strengthening social networks analysis by networks fusion.

Feiyu Long, Nianwen Ning, Chenguang Song, Bin Wu

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Representation Learning Based on Influence of Node for Multiplex Network.

Nianwen Ning, Bin Wu, Chengcheng Peng

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018