Henggang Cui

发表

Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models pdf

Henggang Cui, Fang-Chieh Chou, Jake Charland, 2020, ArXiv.

Ellipse Loss for Scene-Compliant Motion Prediction pdf

Henggang Cui, Nemanja Djuric, Hoda Shajari, 2020, ArXiv.

Managed communication and consistency for fast data-parallel iterative analytics

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

Addressing the straggler problem for iterative convergent parallel ML

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

MLtuner: System Support for Automatic Machine Learning Tuning pdf

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

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

Henggang Cui, Henggang Cui, 2017 .

Exploiting Bounded Staleness to Speed Up Big Data Analytics

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

Using data transformations for low-latency time series analysis

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

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

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

Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization pdf

Henggang Cui, Carlos Vallespi-Gonzalez, Nemanja Djuric, 2020, ArXiv.

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

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

MultiXNet: Multiclass Multistage Multimodal Motion Prediction pdf

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

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server

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

Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions

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

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).

Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks

Henggang Cui, Fang-Chieh Chou, Nemanja Djuric, 2018 .

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).

Exploiting iterative-ness for parallel ML computations

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

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 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.

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

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

Scalable data center multicast using multi-class Bloom Filter

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

Ellipse Loss for Scene-Compliant Motion Prediction

Henggang Cui, Nemanja Djuric, Hoda Shajari, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Parallel Implementation of Expectation-Maximization for Fast Convergence

Henggang Cui, 2012 .

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).