IEEE Intelligent Transportation Systems (IV), 2021 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. MultiXNet: Multiclass Multistage Multimodal Motion Prediction IEEE International Conference on Intelligent Transportation (ITSC), 2021 Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models IEEE International Conference on Robotics and Automation (ICRA), 2021 Henggang Cui*, Hoda Shajari*, Sai Yalamanchi, Nemanja Djuric Importance Is in Your Attention: Agent Importance Prediction for Autonomous DrivingĬhristopher Hazard, Akshay Bhagat, Balarama Raju Buddharaju, Zhongtao Liu, Yunming Shao, Lu Lu, Sammy Omari, Henggang CuiĮllipse Loss for Scene-Compliant Motion Prediction NeurIPS Machine Learning for Autonomous Driving Workshop, 2022 Titas Chakraborty, Akshay Bhagat, Henggang Cui Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss

High-performacne parameter server for iterative convergent machine learning GeePS with automatic tuning on learning rate, momentum, batch size, data staleness and more GPU-specialized parameter server for GPU machine learning My research area was distributed large-scale machine learning systems.Įxploiting Application Characteristics for Efficient System Support for Data-Parallel Machine Learning

degree from Carnegie Mellon University, advised by Our team is responsible for developing machine learning models to predict the behavior of the other road users for the self-driving vehicle. I am a Principal Engineer and Prediction Team Lead at Motional.

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