Henggang Cui
Henggang Cui
Verified email at motional.com - Homepage
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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, 1223-1231, 2013
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
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
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
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
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
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
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
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
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
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 e-prints, arXiv: 1908.00219, 2019
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
Multixnet: Multiclass multistage multimodal motion prediction
N Djuric, H Cui, Z Su, S Wu, H Wang, FC Chou, LS Martin, S Feng, R Hu, ...
arXiv preprint arXiv:2006.02000, 2020
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
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
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
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
Parallel implementation of expectation-maximization for fast convergence
H Cui, J Wei, W Dai
ACM proceedings, 2010
Motion Prediction for Autonomous Devices
N Djuric, H Cui, TD Nguyen, FC Chou, TH Lin, J Schneider, DMA Bradley
US Patent App. 16/506,522, 2020
Ellipse Loss for Scene-Compliant Motion Prediction
H Cui, H Shajari, S Yalamanchi, N Djuric
arXiv preprint arXiv:2011.03139, 2020
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