16 citations · 51 across the 13 of their papers we have counts for
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cs.LG2023★ 1 cited
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
Ruochen Jiao, Yixuan Wang, Xiangguo Liu +2
Trajectory generation and trajectory prediction are two critical tasks in autonomous driving, which generate various trajectories for testing during development and predict the tra…
cs.LG2022★ 3 cited
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
Hengquan Guo, Qi Zhu, Xin Liu
This paper studies the problem of stochastic continuum-armed bandit with constraints (SCBwC), where we optimize a black-box reward function subject to a black-box constraint…
cs.LG2022★ 6 cited
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction
Ruochen Jiao, Xiangguo Liu, Takami Sato +2
Predicting the trajectories of surrounding objects is a critical task for self-driving vehicles and many other autonomous systems. Recent works demonstrate that adversarial attacks…