Henggang Cui - RankMe

33 papers A* 5A 3B 1C 2Journal 13Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	PBP: Path-based Trajectory Prediction for Autonomous Driving. ICRA Sepideh Afshar, Nachiket Deo, Akshay Bhagat, Titas Chakraborty, Yunming Shao, Balarama Raju Buddharaju, Adwait Deshpande, Henggang Cui
2023	J	`jnl`	PBP: Path-based Trajectory Prediction for Autonomous Driving. CoRR Sepideh Afshar, Nachiket Deo, Akshay Bhagat, Titas Chakraborty, Yunming Shao, Balarama Raju Buddharaju, Adwait Deshpande, Henggang Cui
2022	—	`conf`	Importance is in your attention: agent importance prediction for autonomous driving. CVPR Workshops Christopher Hazard, Akshay Bhagat, Balarama Raju Buddharaju, Zhongtao Liu, Yunming Shao, Lu Lu, Sammy Omari, Henggang Cui
2022	J	`jnl`	Importance is in your attention: agent importance prediction for autonomous driving. CoRR Christopher Hazard, Akshay Bhagat, Balarama Raju Buddharaju, Zhongtao Liu, Yunming Shao, Lu Lu, Sammy Omari, Henggang Cui
2022	J	`jnl`	Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss. CoRR Titas Chakraborty, Akshay Bhagat, Henggang Cui
2021	A*	`conf`	Ellipse Loss for Scene-Compliant Motion Prediction. ICRA Henggang Cui, Hoda Shajari, Sai Yalamanchi, Nemanja Djuric
2021	C	`conf`	MultiXNet: Multiclass Multistage Multimodal Motion Prediction. IV 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
2021	A	`conf`	Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. IROS Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley
2021	—	`conf`	Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications. ITSC Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric
2020	A*	`conf`	Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions. ICRA Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric
2020	J	`jnl`	Ellipse Loss for Scene-Compliant Motion Prediction. CoRR Henggang Cui, Hoda Shajari, Sai Yalamanchi, Nemanja Djuric
2020	A*	`conf`	Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization. KDD Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Nemanja Djuric
2020	J	`jnl`	Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization. CoRR Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Fang-Chieh Chou, Nemanja Djuric
2020	J	`jnl`	MultiXNet: Multiclass Multistage Multimodal Motion Prediction. CoRR 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
2020	C	`conf`	Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. IV Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
2020	J	`jnl`	Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. CoRR Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley
2020	J	`jnl`	Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models. CoRR Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric
2020	A	`conf`	Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving. WACV Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Nitin Singh, Jeff Schneider
2019	J	`jnl`	Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories. CoRR Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric
2019	A*	`conf`	Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. ICRA Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
2019	J	`jnl`	Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. CoRR Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
2018	J	`jnl`	MLtuner: System Support for Automatic Machine Learning Tuning. CoRR Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons
2018	J	`jnl`	Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. CoRR Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider
2018	J	`jnl`	Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. CoRR Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
2017	—	`—`	Exploiting Application Characteristics for Efficient System Support of Data-Parallel Machine Learning. Henggang Cui
2016	—	`conf`	Addressing the straggler problem for iterative convergent parallel ML. SoCC Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
2016	A	`conf`	GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server. EuroSys Henggang Cui, Hao Zhang, Gregory R. Ganger, Phillip B. Gibbons, Eric P. Xing
2015	—	`conf`	Managed communication and consistency for fast data-parallel iterative analytics. SoCC Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
2015	—	`conf`	Using data transformations for low-latency time series analysis. SoCC Henggang Cui, Kimberly Keeton, Indrajit Roy, Krishnamurthy Viswanathan, Gregory R. Ganger
2014	—	`conf`	Exploiting Bounded Staleness to Speed Up Big Data Analytics. USENIX ATC 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
2014	—	`conf`	Exploiting iterative-ness for parallel ML computations. SoCC 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
2013	—	`conf`	More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server. NIPS Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Garth A. Gibson, Gregory R. Ganger, Eric P. Xing
2011	B	`conf`	Scalable data center multicast using multi-class Bloom Filter. ICNP Dan Li, Henggang Cui, Yan Hu, Yong Xia, Xin Wang