Henggang Cui

According to our database, Henggang Cui authored at least 26 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PBP: Path-based Trajectory Prediction for Autonomous Driving.

Sepideh Afshar, Nachiket Deo, Akshay Bhagat, Titas Chakraborty, Yunming Shao, Balarama Raju Buddharaju, Adwait Deshpande, Henggang Cui

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2022

Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss.

Titas Chakraborty, Akshay Bhagat, Henggang Cui

CoRR, 2022

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

Christopher Hazard, Akshay Bhagat, Balarama Raju Buddharaju, Zhongtao Liu, Yunming Shao, Lu Lu, Sammy Omari, Henggang Cui

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

MultiXNet: Multiclass Multistage Multimodal Motion Prediction.

Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications.

Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization.

Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Ellipse Loss for Scene-Compliant Motion Prediction.

Henggang Cui, Hoda Shajari, Sai Yalamanchi, Nemanja Djuric

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

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

Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric

CoRR, 2020

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

Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Fang-Chieh Chou, Nemanja Djuric

CoRR, 2020

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

Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Nitin Singh, Jeff Schneider

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

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

Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Nemanja Djuric

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions.

Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories.

Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric

CoRR, 2019

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks.

Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric

Proceedings of the International Conference on Robotics and Automation, 2019

2018

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

Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider

CoRR, 2018

MLtuner: System Support for Automatic Machine Learning Tuning.

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

CoRR, 2018

2017

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

Henggang Cui

PhD thesis, 2017

2016

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

Henggang Cui, Hao Zhang, Gregory R. Ganger, Phillip B. Gibbons, Eric P. Xing

Proceedings of the Eleventh European Conference on Computer Systems, 2016

Addressing the straggler problem for iterative convergent parallel ML.

Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2015

Managed communication and consistency for fast data-parallel iterative analytics.

Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

Using data transformations for low-latency time series analysis.

Henggang Cui, Kimberly Keeton, Indrajit Roy, Krishnamurthy Viswanathan, Gregory R. Ganger

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

2014

Exploiting Bounded Staleness to Speed Up Big Data Analytics.

Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the 2014 USENIX Annual Technical Conference, 2014

Exploiting iterative-ness for parallel ML computations.

Henggang Cui, Alexey Tumanov, Jinliang Wei, Lianghong Xu, Wei Dai, Jesse Haber-Kucharsky, Qirong Ho, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the ACM Symposium on Cloud Computing, 2014

2013

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server.

Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Garth A. Gibson, Gregory R. Ganger, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2011

Scalable data center multicast using multi-class Bloom Filter.

Dan Li, Henggang Cui, Yan Hu, Yong Xia, Xin Wang

Proceedings of the 19th annual IEEE International Conference on Network Protocols, 2011