Jin Lu

Orcid: 0000-0003-1356-0202

Affiliations:

University of Georgia, School of Computing, Atlanta, GA, USA
University of Michigan-Dearborn, Department of Computer and Information Science, Dearborn, MI, USA
University of Connecticut, Department of Computer Science and Engineering, Storrs, CT, USA (PhD 2019)

According to our database¹, Jin Lu authored at least 18 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices.

[BibT_eX]

[DOI]

IEEE Internet Things J., February, 2024

2023

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.

[BibT_eX]

[DOI]

CoRR, 2023

Mobilizing Personalized Federated Learning via Random Walk Stochastic ADMM.

[BibT_eX]

[DOI]

CoRR, 2023

Polyhedron Attention Module: Learning Adaptive-order Interactions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Fusing Location Data for Depression Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2021

A Bisection Reinforcement Learning Approach to 3-D Indoor Localization.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

2019

Multi-view cluster analysis with incomplete data to understand treatment effects.

[BibT_eX]

[DOI]

Inf. Sci., 2019

2018

Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

2017

Bi-subspace saliency detection.

[BibT_eX]

[DOI]

Jin Lu

Fei Dou

Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

VIGAN: Missing view imputation with generative adversarial networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Collaborative phenotype inference from comorbid substance use disorders and genotypes.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Wireless Health, 2016

A Sparse Interactive Model for Matrix Completion with Side Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression.

[BibT_eX]

[DOI]

Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016

2015

Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

A sparse integrative cluster analysis for understanding soybean phenotypes.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Jin Lu

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