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 23 papers between 2014 and 2024.

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Timeline

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Bibliography

2024
On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices.
IEEE Internet Things J., February, 2024

A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education.
CoRR, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR, 2024

Zero-shot image segmentation for monitoring thermal conditions of individual cage-free laying hens.
Comput. Electron. Agric., 2024

2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.
CoRR, 2023

Mobilizing Personalized Federated Learning via Random Walk Stochastic ADMM.
CoRR, 2023

BMEye: Public Health-Oriented Body Mass Index Monitoring Using Commodity WiFi.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Polyhedron Attention Module: Learning Adaptive-order Interactions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM.
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.
IEEE Trans. Big Data, 2021

A Bisection Reinforcement Learning Approach to 3-D Indoor Localization.
IEEE Internet Things J., 2021

2019
Multi-view cluster analysis with incomplete data to understand treatment effects.
Inf. Sci., 2019

2018
Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network.
Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

2017
Bi-subspace saliency detection.
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

VIGAN: Missing view imputation with generative adversarial networks.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Collaborative phenotype inference from comorbid substance use disorders and genotypes.
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.
Proceedings of the 2016 IEEE Wireless Health, 2016

A Sparse Interactive Model for Matrix Completion with Side Information.
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.
Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016

2015
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
A sparse integrative cluster analysis for understanding soybean phenotypes.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014


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