| Edge Assisted Real-time Object Detection for Mobile Augmented Reality L Liu, H Li, M Gruteser The 25th Annual International Conference on Mobile Computing and Networking, 2019 | 568 | 2019 |
| A Field Guide to Federated Optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021 | 381 | 2021 |
| Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks A Kapoor, X Ben, L Liu, B Perozzi, M Barnes, M Blais, S O'Banion arXiv preprint arXiv:2007.03113, 2020 | 255 | 2020 |
| Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state M Abueg, R Hinch, N Wu, L Liu, W Probert, A Wu, P Eastham, Y Shafi, ... NPJ digital medicine 4 (1), 49, 2021 | 155* | 2021 |
| Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading W Zhang, Z He, L Liu, Z Jia, Y Liu, M Gruteser, D Raychaudhuri, Y Zhang Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 140 | 2021 |
| Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Rendering L Liu, R Zhong, W Zhang, Y Liu, J Zhang, L Zhang, M Gruteser Proceedings of the 16th Annual International Conference on Mobile Systems …, 2018 | 133 | 2018 |
| FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction S Alam, L Liu, M Yan, M Zhang Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 123 | 2022 |
| Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds W Zhang, S Li, L Liu, Z Jia, Y Zhang, D Raychaudhuri IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1270-1278, 2019 | 121 | 2019 |
| Privacy-first health research with federated learning A Sadilek, L Liu, D Nguyen, M Kamruzzaman, B Rader, A Ingerman, ... NPJ digital medicine, 2021 | 116 | 2021 |
| Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage Z Li, J Zhang, L Liu, J Liu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022 | 110 | 2022 |
| Capabilities of Gemini Models in Medicine K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ... arXiv preprint arXiv:2404.18416, 2024 | 92 | 2024 |
| Leveraging Wearables for Steering and Driver Tracking C Karatas, L Liu, H Li, J Liu, Y Wang, S Tan, J Yang, Y Chen, M Gruteser, ... IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on …, 2016 | 71 | 2016 |
| Toward Detection of Unsafe Driving with Wearables L Liu, C Karatas, H Li, S Tan, M Gruteser, J Yang, Y Chen, RP Martin Proceedings of the 2015 workshop on Wearable Systems and Applications, 27-32, 2015 | 71 | 2015 |
| Determining Driver Phone Use by Exploiting Smartphone Integrated Sensors Y Wang, Y Chen, J Yang, M Gruteser, R Martin, H Liu, L Liu, C Karatas IEEE Transactions on Mobile Computing 15 (8), 1965 - 1981, 2015 | 59 | 2015 |
| Local adaptivity in federated learning: Convergence and consistency J Wang, Z Xu, Z Garrett, Z Charles, L Liu, G Joshi arXiv preprint arXiv:2106.02305, 2021 | 49 | 2021 |
| BigRoad: Scaling Road Data Acquisition for Dependable Self-Driving L Liu, H Li, J Liu, C Karatas, Y Wang, M Gruteser, Y Chen, RP Martin Proceedings of the 15th Annual International Conference on Mobile Systems …, 2017 | 43 | 2017 |
| Genomic assessment of invasion dynamics of SARS-CoV-2 Omicron BA. 1 JLH Tsui, JT McCrone, B Lambert, S Bajaj, RPD Inward, P Bosetti, ... Science 381 (6655), 336-343, 2023 | 32 | 2023 |
| Automatic Unusual Driving Event Identification for Dependable Self-Driving H Li, H Wang, L Liu, M Gruteser Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems …, 2018 | 32 | 2018 |
| HandSense: Capacitive Coupling-based Dynamic, Micro Finger Gesture Recognition V Nguyen, S Rupavatharam, L Liu, R Howard, M Gruteser Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 285-297, 2019 | 28 | 2019 |
| Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models YJ Cho, L Liu, Z Xu, A Fahrezi, G Joshi arXiv preprint arXiv:2401.06432v2, 2024 | 27* | 2024 |
Marco GruteserResearch Scientist, Google; former P. Cherasia Scholar & Professor, RutgersE-mail confirmado em winlab.rutgers.edu