Dan Lu

Orcid: 0000-0001-6410-8422

Affiliations:
  • Harbin Engineering University, College of Computer Science and Technology, China


According to our database1, Dan Lu authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A novel complex network prediction method based on multi-granularity contrastive learning.
CCF Trans. Pervasive Comput. Interact., December, 2024

Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning.
Proceedings of the Database Systems for Advanced Applications, 2024

Independent Embedding-Based Relational Enhancement Model for Hyper-Relational Knowledge Graph.
Proceedings of the Database Systems for Advanced Applications, 2024

Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism.
Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation.
Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

Fairness-Aware Mutual Information for Multimodal Recommendation.
Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

2023
The Multisource Time Series Data Granularity Conversion Method.
Proceedings of the Data Science, 2023

SRLI: Handling Irregular Time Series with a Novel Self-supervised Model Based on Contrastive Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

DAGAN: Generative Adversarial Network with Dual Attention-Enhanced GRU for Multivariate Time Series Imputation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multi-source Open-Set Image Classification Based on Deep Adversarial Domain Adaptation.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Anomaly Detection of Industrial Data Based on Multivariate Multi Scale Analysis.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Review of Deep Learning-Based Entity Alignment Methods.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

2022
MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Fine-Grained Air Quality Inference via Multi-Channel Attention Model.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2019
A Novel Method for Location Privacy Protection in LBS Applications.
Secur. Commun. Networks, 2019

Secure Mining of Association Rules in Distributed Datasets.
IEEE Access, 2019

A Prediction Method for Destination Based on the Semantic Transfer Model.
IEEE Access, 2019

2018
Lclean: A Plausible Approach to Individual Trajectory Data Sanitization.
IEEE Access, 2018

2017
Optimal Task Recommendation for Spatial Crowdsourcing with Privacy Control.
Proceedings of the Data Science, 2017


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