Henggang Cui

发表

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server

Seunghak Lee, Eric P. Xing, Henggang Cui, 2013, NIPS.

Exploiting Bounded Staleness to Speed Up Big Data Analytics

Seunghak Lee, Eric P. Xing, Henggang Cui, 2014, USENIX Annual Technical Conference.

Consistency for Fast Data-Parallel Iterative Analytics

Phillip B. Gibbons, Garth A. Gibson, E. Xing, 2015 .

MLtuner: System Support for Automatic Machine Learning Tuning pdf

Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, 2018, ArXiv.

Addressing the straggler problem for iterative convergent parallel ML

Eric P. Xing, Henggang Cui, Gregory R. Ganger, 2016, SoCC.

Managed communication and consistency for fast data-parallel iterative analytics

Eric P. Xing, Henggang Cui, Gregory R. Ganger, 2015, SoCC.

Using data transformations for low-latency time series analysis

Kimberly Keeton, Henggang Cui, Krishnamurthy Viswanathan, 2015, SoCC.

Improving Movement Prediction of Traffic Actors using Off-road Loss and Bias Mitigation

Henggang Cui, Nemanja Djuric, M. Niedoba, 2019 .

Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories pdf

David Bradley, Henggang Cui, Fang-Chieh Chou, 2019, ArXiv.

Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets

Henggang Cui, Fang-Chieh Chou, Nemanja Djuric, 2019, 2020 IEEE Intelligent Vehicles Symposium (IV).

Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving

Henggang Cui, Fang-Chieh Chou, Nemanja Djuric, 2018, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization

Henggang Cui, Nemanja Djuric, Fang-Chieh Chou, 2020, KDD.

Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions

Henggang Cui, Fang-Chieh Chou, Nemanja Djuric, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Transformations for Low-Latency Time Series Analysis

Henggang Cui, G. Ganger, K. Keeton, 2015 .

Exploiting Application Characteristics for Efficient System Support of Data-Parallel Machine Learning

Henggang Cui, Henggang Cui, 2017 .

GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server

Eric P. Xing, Hao Zhang, Henggang Cui, 2016, EuroSys.

MultiXNet: Multiclass Multistage Multimodal Motion Prediction pdf

Brian C. Becker, Henggang Cui, Fang-Chieh Chou, 2020, 2021 IEEE Intelligent Vehicles Symposium (IV).

Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving

J. Schneider, Henggang Cui, Nemanja Djuric, 2018, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks

Henggang Cui, Nemanja Djuric, Tzu-Kuo Huang, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss

Henggang Cui, A. Bhagat, Titas Chakraborty, 2022, ArXiv.

Importance is in your attention: agent importance prediction for autonomous driving

Henggang Cui, Sammy Omari, Yunming Shao, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization

Henggang Cui, Fang-Chieh Chou, Nemanja Djuric, 2020, KDD.

Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks pdf

Henggang Cui, Nemanja Djuric, Tsung-Han Lin, 2018, ArXiv.

Istc-cc Update Istc-cc Research Overview Pillar 1: Specialization

Henggang Cui, Jinliang Wei, Gennady Pekhimenko, 2022 .

Optically cross-braced hypercube: A reconfigurable physical layer for interconnects and server-centric datacenters

Henggang Cui, L. Kazovsky, D. Rasooly, 2012, OFC/NFOEC.

Scalable data center multicast using multi-class Bloom Filter

Xin Wang, Yan Hu, Henggang Cui, 2011, 2011 19th IEEE International Conference on Network Protocols.

Exploiting iterative-ness for parallel ML computations

Eric P. Xing, Wei Dai, Henggang Cui, 2014, SoCC.

Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving

J. Schneider, Henggang Cui, Nemanja Djuric, 2018, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server

Phillip B. Gibbons, Garth A. Gibson, E. Xing, 2013, NIPS.

GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server

Phillip B. Gibbons, E. Xing, Henggang Cui, 2016, EuroSys.