Henggang Cui
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2011–2024
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICRA | 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 |
| 2022 | CVPR | 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 |
| 2021 | ICRA | Ellipse Loss for Scene-Compliant Motion Prediction. | Henggang Cui, Hoda Shajari, Sai Yalamanchi, Nemanja Djuric |
| 2021 | IROS | Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. | Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley |
| 2020 | ICRA | 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 |
| 2020 | KDD | 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 |
| 2020 | WACV | 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 |
| 2019 | ICRA | 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 |
| 2016 | CLOUD | 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 |
| 2016 | EuroSys | 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 |
| 2015 | CLOUD | Using data transformations for low-latency time series analysis. | Henggang Cui, Kimberly Keeton, Indrajit Roy, Krishnamurthy Viswanathan, Gregory R. Ganger |
| 2015 | CLOUD | 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 |
| 2014 | CLOUD | 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 |
| 2014 | USENIX | 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 |
| 2011 | ICNP | Scalable data center multicast using multi-class Bloom Filter. | Dan Li, Henggang Cui, Yan Hu, Yong Xia, Xin Wang |