Jin Lu
Orcid: 0000-0003-1356-0202Affiliations:
- 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.
Collaborative distances:
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Bibliography
2024
On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices.
IEEE Internet Things J., February, 2024
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
CoRR, 2023
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023
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
IEEE Internet Things J., 2021
2019
Inf. Sci., 2019
2018
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
Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018
2017
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017
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
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
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014