Xiaofeng Pan

Orcid: 0009-0007-0719-3780

According to our database1, Xiaofeng Pan authored at least 16 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Blockchain-enabled supervised secure data sharing and delegation scheme in Web3.0.
J. Cloud Comput., December, 2024

A Cross-Angle Propagation Network for Built-Up Area Extraction by Fusing Spatial-Spectral-Angular Features From the ZY-3 Multiview Satellite Imagery: Dataset and Analysis of China's 41 Major Cities.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations.
CoRR, 2023

MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction.
Proceedings of the Database Systems for Advanced Applications, 2023

FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

ANA: An Adaptive Non-outlier-detection-based Aggregation Algorithm Against Poisoning Attack for Federated Learning.
Proceedings of the 2023 4th International Conference on Control, 2023

2022
MAT: Motion-aware multi-object tracking.
Neurocomputing, 2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.
CoRR, 2022

MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022


2021
Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios.
CoRR, 2021

SAME: Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction.
CoRR, 2021

2020
ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification.
CoRR, 2020

MAT: Motion-Aware Multi-Object Tracking.
CoRR, 2020

2018
Multi-Level Deep Cascade Trees for Conversion Rate Prediction.
CoRR, 2018


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