Fen Xia

Orcid: 0000-0002-6570-0011

According to our database1, Fen Xia authored at least 28 papers between 2006 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea.
Sensors, November, 2023

MSVT: Multiple Spatiotemporal Views Transformer for DeepFake Video Detection.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Get a Head Start: Targeted Labeling at Source with Limited Annotation Overhead for Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms.
IEEE Trans. Parallel Distributed Syst., 2021

Clinical and Research Solutions to Manage Obstructive Sleep Apnea: A Review.
Sensors, 2021

2019
The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters.
CoRR, 2019

Using Gradient Based Multikernel Gaussian Process and Meta-Acquisition Function to Accelerate SMBO.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Using Known Information to Accelerate HyperParameters Optimization Based on SMBO.
CoRR, 2018

Asynchronous Parallel Sampling Gradient Boosting Decision Tree.
CoRR, 2018

Population Density-Based Hospital Recommendation with Mobile LBS Big Data.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization.
J. Mach. Learn. Res., 2017

Improving click-through rate prediction accuracy in online advertising by transfer learning.
Proceedings of the International Conference on Web Intelligence, 2017

Domain-Specific Chinese Word Segmentation with Document-Level Optimization.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

2016
Listwise Learning to Rank by Exploring Structure of Objects.
IEEE Trans. Knowl. Data Eng., 2016

Listwise Learning to Rank from Crowds.
ACM Trans. Knowl. Discov. Data, 2016

A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization.
CoRR, 2016

2015
Crowd Fraud Detection in Internet Advertising.
Proceedings of the 24th International Conference on World Wide Web, 2015

2014
Gradient boosting factorization machines.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2012
Listwise approaches based on feature ranking discovery.
Frontiers Comput. Sci., 2012

2010
Bilinear models for item recommendation based on tags.
Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, 2010

2009
A closed-form reduction of multi-class cost-sensitive learning to weighted multi-class learning.
Pattern Recognit., 2009

Exploring Social Annotations with the Application to Web Page Recommendation.
J. Comput. Sci. Technol., 2009

Statistical Consistency of Top-k Ranking.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Ranking with decision tree.
Knowl. Inf. Syst., 2008

Listwise approach to learning to rank: theory and algorithm.
Proceedings of the Machine Learning, 2008

2007
Recursive Feature Extraction for Ordinal Regression.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
An Effective Tree-Based Algorithm for Ordinal Regression.
IEEE Intell. Informatics Bull., 2006


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