Xiao Ma
Xiao Ma
Dyson Robot Learning Lab
Verified email at - Homepage
Cited by
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Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
C Yu*, X Ma*, J Ren, H Zhao, S Yi
European Conference on Computer Vision (ECCV), 2020
Balanced meta-softmax for long-tailed visual recognition
J Ren, C Yu, S Sheng, X Ma, H Zhao, S Yi, H Li
Advances in Neural Information Processing Systems 33, 2020
Particle Filter Recurrent Neural Networks
X Ma, P Karkus, D Hsu, WS Lee
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020
Differentiable algorithm networks for composable robot learning
P Karkus, X Ma, D Hsu, LP Kaelbling, WS Lee, T Lozano-Pérez
Robotics: Science and Systems (RSS), 2019
Learning latent graph dynamics for visual manipulation of deformable objects
X Ma, D Hsu, WS Lee
2022 International Conference on Robotics and Automation (ICRA), 8266-8273, 2022
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations
X Ma, S Chen, D Hsu, WS Lee
4th Conference on Robot Learning (CoRL), 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
X Ma, P Karkus, D Hsu, WS Lee, N Ye
International Conference on Learning Representations (ICLR), 2020
Beep: A bayesian perspective early stage event prediction model for online social networks
X Ma, X Gao, G Chen
2017 IEEE International Conference on Data Mining (ICDM), 973-978, 2017
Ab Initio Particle-based Object Manipulation
S Chen, X Ma, Y Lu, D Hsu
Robotics: Science and Systems (RSS), 2021
Towards Overcoming False Positives in Visual Relationship Detection
D Jin*, X Ma*, C Zhang, Y Zhou, J Tao, M Zhang, Zhoujun, X Li
British Machine Vision Conference (BMVC), 2021
Predicting hot events in the early period through Bayesian model for social networks
Z Zheng, X Gao, X Ma, G Chen
IEEE Transactions on Knowledge and Data Engineering, 2020
Trust-based time series data model for mobile crowdsensing
X Ma, Z Zheng, F Wu, G Chen
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
Imitation Learning As State Matching via Differentiable Physics
S Chen, X Ma, Z Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Benchmarking Deformable Object Manipulation with Differentiable Physics
S Chen, C Yu, Y Xu, L Li, X Ma, Z Xu, D Hsu
International Conference on Learning Representations (ICLR), 2023
Boosting offline reinforcement learning via data rebalancing
Y Yue, B Kang, X Ma, Z Xu, G Huang, S Yan
arXiv preprint arXiv:2210.09241, 2022
Hierarchical Reinforcement Learning under Mixed Observability
H Nguyen, Z Yang, A Baisero, X Ma, R Platt, C Amato
Workshop on the Algorithmic Foundations of Robotics (WAFR), 2022
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space
S Chen, X Ma, D Hsu
In IL workshop, Robotics: Science and Systems (RSS), 2020
Offline Prioritized Experience Replay
Y Yue, B Kang, X Ma, G Huang, S Song, S Yan
arXiv preprint arXiv:2306.05412, 2023
Improving and Benchmarking Offline Reinforcement Learning Algorithms
B Kang*, X Ma*, Y Wang, Y Yue, S Yan
arXiv preprint arXiv:2306.00972, 2023
Efficient Diffusion Policies for Offline Reinforcement Learning
B Kang*, X Ma*, C Du, T Pang, S Yan
arXiv preprint arXiv:2305.20081, 2023
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