| More effective distributed ml via a stale synchronous parallel parameter server Q Ho, J Cipar, H Cui, S Lee, JK Kim, PB Gibbons, GA Gibson, G Ganger, ... Advances in neural information processing systems 26, 2013 | 977 | 2013 |
| Multimodal trajectory predictions for autonomous driving using deep convolutional networks H Cui, V Radosavljevic, FC Chou, TH Lin, T Nguyen, TK Huang, ... 2019 international conference on robotics and automation (icra), 2090-2096, 2019 | 778 | 2019 |
| Geeps: Scalable deep learning on distributed gpus with a gpu-specialized parameter server H Cui, H Zhang, GR Ganger, PB Gibbons, EP Xing Proceedings of the eleventh european conference on computer systems, 1-16, 2016 | 423 | 2016 |
| Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving N Djuric, V Radosavljevic, H Cui, T Nguyen, FC Chou, TH Lin, N Singh, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 336* | 2020 |
| Exploiting bounded staleness to speed up big data analytics H Cui, J Cipar, Q Ho, JK Kim, S Lee, A Kumar, J Wei, W Dai, GR Ganger, ... 2014 USENIX Annual Technical Conference (USENIX ATC 14), 37-48, 2014 | 211 | 2014 |
| Addressing the straggler problem for iterative convergent parallel ML A Harlap, H Cui, W Dai, J Wei, GR Ganger, PB Gibbons, GA Gibson, ... Proceedings of the seventh ACM symposium on cloud computing, 98-111, 2016 | 165 | 2016 |
| Managed communication and consistency for fast data-parallel iterative analytics J Wei, W Dai, A Qiao, Q Ho, H Cui, GR Ganger, PB Gibbons, GA Gibson, ... Proceedings of the Sixth ACM Symposium on Cloud Computing, 381-394, 2015 | 150 | 2015 |
| Deep kinematic models for physically realistic prediction of vehicle trajectories H Cui, T Nguyen, FC Chou, TH Lin, J Schneider, D Bradley, N Djuric arXiv preprint arXiv:1908.00219 3, 2019 | 113* | 2019 |
| Scalable data center multicast using multi-class bloom filter D Li, H Cui, Y Hu, Y Xia, X Wang 2011 19th IEEE international conference on network protocols, 266-275, 2011 | 94 | 2011 |
| Predicting motion of vulnerable road users using high-definition maps and efficient convnets FC Chou, TH Lin, H Cui, V Radosavljevic, T Nguyen, TK Huang, ... 2020 IEEE Intelligent Vehicles Symposium (IV), 1655-1662, 2020 | 67 | 2020 |
| Object motion prediction and autonomous vehicle control N Djuric, V Radosavljevic, TD Nguyen, TH Lin, J Schneider, H Cui, ... US Patent 11,112,796, 2021 | 64 | 2021 |
| Short-term motion prediction of traffic actors for autonomous driving using deep convolutional networks N Djuric, V Radosavljevic, H Cui, T Nguyen, FC Chou, TH Lin, ... arXiv preprint arXiv:1808.05819 1 (2), 6, 2018 | 61 | 2018 |
| Motion prediction for autonomous devices N Djuric, H Cui, TD Nguyen, FC Chou, TH Lin, J Schneider, DMA Bradley US Patent 11,635,764, 2023 | 54 | 2023 |
| Multixnet: Multiclass multistage multimodal motion prediction N Djuric, H Cui, Z Su, S Wu, H Wang, FC Chou, L San Martin, S Feng, ... 2021 IEEE Intelligent Vehicles Symposium (IV), 435-442, 2021 | 52 | 2021 |
| Exploiting iterative-ness for parallel ML computations H Cui, A Tumanov, J Wei, L Xu, W Dai, J Haber-Kucharsky, Q Ho, ... Proceedings of the ACM Symposium on Cloud Computing, 1-14, 2014 | 49 | 2014 |
| Improving movement prediction of traffic actors using off-road loss and bias mitigation M Niedoba, H Cui, K Luo, D Hegde, FC Chou, N Djuric Workshop on’Machine Learning for Autonomous Driving’at Conference on Neural …, 2019 | 27 | 2019 |
| Improving movement predictions of traffic actors in bird's-eye view models using gans and differentiable trajectory rasterization E Wang, H Cui, S Yalamanchi, M Moorthy, N Djuric Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 26 | 2020 |
| Systems and methods for training predictive models for autonomous devices H Cui, J Wang, SB Yalamanchi, MPS Moorthy, FC Chou, N Djuric US Patent 11,442,459, 2022 | 16 | 2022 |
| Optically cross-braced hypercube: A reconfigurable physical layer for interconnects and server-centric datacenters H Cui, D Rasooly, MRN Ribeiro, L Kazovsky OFC/NFOEC, 1-3, 2012 | 14 | 2012 |
| Using data transformations for low-latency time series analysis H Cui, K Keeton, I Roy, K Viswanathan, GR Ganger Proceedings of the Sixth ACM Symposium on Cloud Computing, 395-407, 2015 | 12 | 2015 |
Phillip GibbonsCarnegie Mellon UniversityE-mail confirmado em cs.cmu.edu