Ye Liu

Orcid: 0000-0002-1969-2639

Affiliations:

National University of Singapore, School of Computing
Peking University, Key Laboratory of Machine Perception, Beijing, China (former)

According to our database¹, Ye Liu authored at least 21 papers between 2012 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2022

Fine-Grained Urban Flow Inference.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

2020

Translation-Based Sequential Recommendation for Complex Users on Sparse Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Unsupervised Learning of Disentangled Location Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Tensor-driven low-rank discriminant analysis for image set classification.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

An Intelligent Wellness Assessment System for the Elderly Healthcare.

[BibT_eX]

[DOI]

J. Medical Imaging Health Informatics, 2019

UrbanFM: Inferring Fine-Grained Urban Flows.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking.

[BibT_eX]

[DOI]

Nirandika Wanigasekara

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

MMKG: Multi-modal Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - 16th International Conference, 2019

2017

Towards unsupervised physical activity recognition using smartphone accelerometers.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

Beyond Binary Labels: Political Ideology Prediction of Twitter Users.

[BibT_eX]

[DOI]

Daniel Preotiuc-Pietro

Ye Liu

Daniel Hopkins

Lyle H. Ungar

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

From action to activity: Sensor-based activity recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Predicting Urban Water Quality with Ubiquitous Data.

[BibT_eX]

[DOI]

CoRR, 2016

Urban Water Quality Prediction Based on Multi-Task Multi-View Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Fortune Teller: Predicting Your Career Path.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Recognizing Complex Activities by a Probabilistic Interval-Based Model.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Action2Activity: Recognizing Complex Activities from Sensor Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2013

Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2013

2012

Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Ye Liu

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