Niannan Xue

Orcid: 0000-0002-7234-5425

According to our database1, Niannan Xue authored at least 13 papers between 2016 and 2022.

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

Timeline

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Links

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Bibliography

2022
AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction.
IEEE Trans. Knowl. Data Eng., 2022

ArcFace: Additive Angular Margin Loss for Deep Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2020
AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Bandit based Optimization of Multiple Objectives on a Music Streaming Platform.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Side Information for Face Completion: A Robust PCA Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

ArcFace: Additive Angular Margin Loss for Deep Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment.
Proceedings of the British Machine Vision Conference 2018, 2018

Informed Non-Convex Robust Principal Component Analysis With Features.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Side Information in Robust Principle Component Analysis: Algorithms and Applications.
CoRR, 2017

Side Information in Robust Principal Component Analysis: Algorithms and Applications.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Robust low-rank tensor modelling using Tucker and CP decomposition.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Parameter estimation for gene regulatory networks: A two-stage MCMC Bayesian approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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