Dan Lu

According to our database, Dan Lu authored at least 23 papers between 2017 and 2025.

Collaborative distances:

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

2025

Causal cascading convolution networks for multi-behavior sequential recommendation.

Dan Lu, Shiqing Wu, Hao Zhang, Guandong Xu, Qilong Han

Inf. Sci., 2025

Fine-grained graph convolutional network with learning-based bi-relational graph for spatiotemporal forecasting.

Hexiang Liu, Qilong Han, Dan Lu, Jingyu Sheng, Shanshan Sui, Hui Sun

Expert Syst. Appl., 2025

2024

A novel complex network prediction method based on multi-granularity contrastive learning.

Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu

CCF Trans. Pervasive Comput. Interact., December, 2024

Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning.

Qilong Han, Shanshan Sui, Dan Lu, Shiqing Wu, Guandong Xu

Proceedings of the Database Systems for Advanced Applications, 2024

Independent Embedding-Based Relational Enhancement Model for Hyper-Relational Knowledge Graph.

Qilong Han, Jiahang Li, Dan Lu, Lijie Li, Bingyi Xie

Proceedings of the Database Systems for Advanced Applications, 2024

Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism.

Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu

Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation.

Dan Lu, Hao Zhang, Lijie Li, Shiqing Wu, Guandong Xu

Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

Fairness-Aware Mutual Information for Multimodal Recommendation.

Dan Lu, Xu Chen, Rui Chen, Shiqing Wu, Guandong Xu

Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

2023

The Multisource Time Series Data Granularity Conversion Method.

Chongyang Leng, Qilong Han, Dan Lu

Proceedings of the Data Science, 2023

SRLI: Handling Irregular Time Series with a Novel Self-supervised Model Based on Contrastive Learning.

Haitao Zhang, Xujie Zhang, Qilong Han, Dan Lu

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

DAGAN: Generative Adversarial Network with Dual Attention-Enhanced GRU for Multivariate Time Series Imputation.

Hongtao Song, Xiangran Fang, Dan Lu, Qilong Han

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

Multi-source Open-Set Image Classification Based on Deep Adversarial Domain Adaptation.

Haitao Zhang, Xinran Liu, Qilong Han, Dan Lu

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

UEBCS: Software Development Technology Based on Component Selection.

Yingnan Zhao, Xuezhao Qi, Jian Li, Dan Lu

Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Anomaly Detection of Industrial Data Based on Multivariate Multi Scale Analysis.

Dan Lu, Siao Li, Yingnan Zhao, Qilong Han

Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Review of Deep Learning-Based Entity Alignment Methods.

Dan Lu, Guoyu Han, Yingnan Zhao, Qilong Han

Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

2022

MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction.

Dan Lu, Rui Chen, Shanshan Sui, Qilong Han, Linglong Kong, Yichen Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Fine-Grained Air Quality Inference via Multi-Channel Attention Model.

Qilong Han, Dan Lu, Rui Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior.

Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2019

A Novel Method for Location Privacy Protection in LBS Applications.

Dan Lu, Qilong Han, Kejia Zhang, Haitao Zhang, Bisma Gull

Secur. Commun. Networks, 2019

Secure Mining of Association Rules in Distributed Datasets.

Qilong Han, Dan Lu, Kejia Zhang, Hongtao Song, Haitao Zhang

IEEE Access, 2019

A Prediction Method for Destination Based on the Semantic Transfer Model.

Qilong Han, Dan Lu, Kejia Zhang, Xiaojiang Du, Mohsen Guizani

IEEE Access, 2019

2018

Lclean: A Plausible Approach to Individual Trajectory Data Sanitization.

Qilong Han, Dan Lu, Kejia Zhang, Xiaojiang Du, Mohsen Guizani

IEEE Access, 2018

2017

Optimal Task Recommendation for Spatial Crowdsourcing with Privacy Control.

Dan Lu, Qilong Han, Hongbin Zhao, Kejia Zhang

Proceedings of the Data Science, 2017