Yuanfu Lu

Orcid: 0000-0002-5743-3216

According to our database1, Yuanfu Lu authored at least 18 papers between 2010 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Group-to-group recommendation with neural graph matching.
World Wide Web (WWW), March, 2024

2022
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity.
IEEE Trans. Knowl. Data Eng., 2022

RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Few-shot Link Prediction in Dynamic Networks.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Long Short-Term Temporal Meta-learning in Online Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Package Recommendation with Intra- and Inter-Package Attention Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Sequence-aware Heterogeneous Graph Neural Collaborative Filtering.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Influence Maximization in Multi-Relational Social Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Contrastive Pre-Training of GNNs on Heterogeneous Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning to Pre-train Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Social Influence Attentive Neural Network for Friend-Enhanced Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Temporal Network Embedding with Micro- and Macro-dynamics.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Relation Structure-Aware Heterogeneous Information Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
Wave equivalent plane estimation for wave reconstruction in imaging through water waves.
Proceedings of the 2017 IEEE International Conference on Real-time Computing and Robotics, 2017

2016
An optical system in solar-blind UV for corona discharge detection.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2016

2010
An active disturbance rejection control technique for the turntable system with motor moment fluctuation.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010


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