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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PhD thesis 
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Links

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Bibliography

2022
Fine-Grained Urban Flow Inference.
IEEE Trans. Knowl. Data Eng., 2022

Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach.
IEEE Trans. Big Data, 2022

2020
Translation-Based Sequential Recommendation for Complex Users on Sparse Data.
IEEE Trans. Knowl. Data Eng., 2020

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Unsupervised Learning of Disentangled Location Embeddings.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Tensor-driven low-rank discriminant analysis for image set classification.
Multim. Tools Appl., 2019

Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy.
Multim. Tools Appl., 2019

An Intelligent Wellness Assessment System for the Elderly Healthcare.
J. Medical Imaging Health Informatics, 2019

UrbanFM: Inferring Fine-Grained Urban Flows.
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.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

MMKG: Multi-modal Knowledge Graphs.
Proceedings of the Semantic Web - 16th International Conference, 2019

2017
Towards unsupervised physical activity recognition using smartphone accelerometers.
Multim. Tools Appl., 2017

Beyond Binary Labels: Political Ideology Prediction of Twitter Users.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
From action to activity: Sensor-based activity recognition.
Neurocomputing, 2016

Predicting Urban Water Quality with Ubiquitous Data.
CoRR, 2016

Urban Water Quality Prediction Based on Multi-Task Multi-View Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Fortune Teller: Predicting Your Career Path.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Recognizing Complex Activities by a Probabilistic Interval-Based Model.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Action2Activity: Recognizing Complex Activities from Sensor Data.
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.
IEEE Trans. Syst. Man Cybern. Syst., 2013

2012
Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking.
Proceedings of the 21st International Conference on Pattern Recognition, 2012


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