Xinyue Liu

Affiliations:
  • Amazon, Alexa AI, Cambridge, MA, USA
  • Worcester Polytechnic Institute, Department of Computer Science, Worcester, MA, USA


According to our database1, Xinyue Liu authored at least 19 papers between 2016 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Multi-State Brain Network Discovery.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Multi-task attributed graphical lasso and its application in fund classification.
World Wide Web, 2022

2020
Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Recurrent Networks for Guided Multi-Attention Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation.
Proceedings of the Database Systems for Advanced Applications, 2020

Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Multi-task Attributed Graphical Lasso.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Signed Distance-based Deep Memory Recommender.
Proceedings of the World Wide Web Conference, 2019

Competitive opinion maximization in social networks.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Active Opinion Maximization in Social Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Coherent Graphical Lasso for Brain Network Discovery.
Proceedings of the IEEE International Conference on Data Mining, 2018

TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Unified and Contrasting Graphical Lasso for Brain Network Discovery.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Collective discovery of brain networks with unknown groups.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Kernel-Based Feature Extraction for Collaborative Filtering.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

BiCycle: Item Recommendation with Life Cycles.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Kernelized Matrix Factorization for Collaborative Filtering.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Collective Traffic Prediction with Partially Observed Traffic History using Location-Based Social Media.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016


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