Scalable data center multicast using multi-class Bloom Filter. - Dan Li; Henggang Cui; Yan Hu; Yong Xia 001; Xin Wang 001 (ICNP, 2011)

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 (NIPS, 2013)

Exploiting iterative-ness for parallel ML computations. - Henggang Cui; Alexey Tumanov; Jinliang Wei; Lianghong Xu; Wei Dai 003; Jesse Haber-Kucharsky; Qirong Ho; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 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 003; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (USENIX ATC, 2014)

Using data transformations for low-latency time series analysis. - Henggang Cui; Kimberly Keeton; Indrajit Roy 001; Krishnamurthy Viswanathan; Gregory R. Ganger (SoCC, 2015)

Managed communication and consistency for fast data-parallel iterative analytics. - Jinliang Wei; Wei Dai 003; Aurick Qiao; Qirong Ho; Henggang Cui; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 2015)

Addressing the straggler problem for iterative convergent parallel ML. - Aaron Harlap; Henggang Cui; Wei Dai 003; Jinliang Wei; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 2016)

GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server. - Henggang Cui; Hao Zhang 025; Gregory R. Ganger; Phillip B. Gibbons; Eric P. Xing (EuroSys, 2016)

Exploiting Application Characteristics for Efficient System Support of Data-Parallel Machine Learning. - Henggang Cui (2017)

MLtuner: System Support for Automatic Machine Learning Tuning. - Henggang Cui; Gregory R. Ganger; Phillip B. Gibbons (CoRR, 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)

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 (ICRA, 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)

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 (ICRA, 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 (IV, 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 (KDD, 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 (WACV, 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 Vehicle Orientation Estimation for Joint Detection-Prediction Models. - Henggang Cui; Fang-Chieh Chou; Jake Charland; Carlos Vallespi-Gonzalez; Nemanja Djuric (CoRR, 2020)

Ellipse Loss for Scene-Compliant Motion Prediction. - Henggang Cui; Hoda Shajari; Sai Yalamanchi; Nemanja Djuric (ICRA, 2021)

Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. - Zhaoen Su; Chao Wang; Henggang Cui; Nemanja Djuric; Carlos Vallespi-Gonzalez; David Bradley (IROS, 2021)

Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications. - Henggang Cui; Fang-Chieh Chou; Jake Charland; Carlos Vallespi-Gonzalez; Nemanja Djuric (ITSC, 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; et al. (IV, 2021)

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 (CVPR Workshops, 2022)

Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss. - Titas Chakraborty; Akshay Bhagat; Henggang Cui (CoRR, 2022)

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 (ICRA, 2024)