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 46 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models.
CoRR, March, 2026
CoRR, February, 2026
ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Smart-Home Human Activity Modeling.
Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems, 2026
2025
Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection.
J. Heal. Informatics Res., December, 2025
Advancing physiological time series reconstruction and imputation via mixture of receptive fields and experts fusion.
CoRR, December, 2025
MARAuder's Map: Motion-Aware Real-time Activity Recognition with Layout-Based Trajectories.
CoRR, November, 2025
CoRR, October, 2025
CoRR, October, 2025
CoRR, September, 2025
CoRR, August, 2025
ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling.
CoRR, May, 2025
Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training.
CoRR, April, 2025
CoRR, March, 2025
Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning.
CoRR, February, 2025
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models.
CoRR, January, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025
Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
2024
On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices.
IEEE Internet Things J., February, 2024
Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios.
CoRR, 2024
HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization.
CoRR, 2024
CoRR, 2024
Zero-shot image segmentation for monitoring thermal conditions of individual cage-free laying hens.
Comput. Electron. Agric., 2024
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 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 2017 IEEE SmartWorld, 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