| Toward distributed/decentralized DC optimal power flow implementation in future electric power systems A Kargarian, J Mohammadi, J Guo, S Chakrabarti, M Barati, G Hug, S Kar, ... IEEE Transactions on Smart Grid 9 (4), 2574-2594, 2016 | 299 | 2016 |
| A survey of on-device machine learning: An algorithms and learning theory perspective S Dhar, J Guo, J Liu, S Tripathi, U Kurup, M Shah ACM Transactions on Internet of Things 2 (3), 1-49, 2021 | 160 | 2021 |
| Is it safe to drive? An overview of factors, metrics, and datasets for driveability assessment in autonomous driving J Guo, U Kurup, M Shah IEEE Transactions on Intelligent Transportation Systems 21 (8), 3135-3151, 2019 | 153 | 2019 |
| Intelligent partitioning in distributed optimization of electric power systems J Guo, G Hug, OK Tonguz IEEE Transactions on Smart Grid 7 (3), 1249-1258, 2015 | 126 | 2015 |
| A case for nonconvex distributed optimization in large-scale power systems J Guo, G Hug, OK Tonguz IEEE Transactions on Power Systems 32 (5), 3842-3851, 2016 | 111 | 2016 |
| Distributed MPC for efficient coordination of storage and renewable energy sources across control areas K Baker, J Guo, G Hug, X Li IEEE Transactions on Smart Grid 7 (2), 992-1001, 2016 | 89 | 2016 |
| On the role of communications plane in distributed optimization of power systems J Guo, G Hug, OK Tonguz IEEE Transactions on Industrial Informatics 14 (7), 2903-2913, 2017 | 38 | 2017 |
| Impact of communication delay on asynchronous distributed optimal power flow using ADMM J Guo, G Hug, O Tonguz 2017 IEEE International Conference on Smart Grid Communications …, 2017 | 29 | 2017 |
| Distributed fault-tolerant topology control in cooperative wireless ad hoc networks J Guo, X Liu, C Jiang, J Cao, Y Ren IEEE Transactions on Parallel and Distributed Systems 26 (10), 2699-2710, 2014 | 29 | 2014 |
| Is it safe to drive? an overview of factors, challenges, and datasets for driveability assessment in autonomous driving J Guo, U Kurup, M Shah arXiv preprint arXiv:1811.11277, 2018 | 22 | 2018 |
| Asynchronous ADMM for distributed non-convex optimization in power systems J Guo, G Hug, O Tonguz arXiv preprint arXiv:1710.08938, 2017 | 21 | 2017 |
| Impact of partitioning on the performance of decomposition methods for AC Optimal Power Flow J Guo, G Hug, O Tonguz 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2015 | 14 | 2015 |
| Enabling distributed optimization in large-scale power systems J Guo, G Hug, O Tonguz arXiv preprint arXiv:1605.09785, 2016 | 8 | 2016 |
| Impact of power system partitioning on the efficiency of distributed multi-step optimization J Guo, O Tonguz, G Hug 2017 IEEE Manchester PowerTech, 1-6, 2017 | 7 | 2017 |
| On-device machine learning: An algorithms and learning theory perspective. arXiv 2019 S Dhar, J Guo, J Liu, S Tripathi, U Kurup, M Shah arXiv preprint arXiv:1911.00623, 0 | 5 | |
| Efficacy of Model Fine-Tuning for Personalized Dynamic Gesture Recognition J Guo, U Kurup, M Shah International Workshop on Deep Learning for Human Activity Recognition, 99-110, 2021 | 2 | 2021 |
| Distributed optimization in electric power systems: Partitioning, communications, and synchronization J Guo Carnegie Mellon University, 2018 | 1 | 2018 |
Gabriela HugProfessor, ETH ZürichVerified email at ethz.ch
