| 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 | 130 | 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 | 90 | 2020 |
| Particle Filter Recurrent Neural Networks X Ma, P Karkus, D Hsu, WS Lee The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020 | 85* | 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 | 50* | 2019 |
| 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 | 19 | 2020 |
| Contrastive Variational Model-Based Reinforcement Learning for Complex Observations X Ma, S Chen, D Hsu, WS Lee 4th Conference on Robot Learning (CoRL), 2020 | 18* | 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 | 10 | 2017 |
| Learning latent graph dynamics for deformable object manipulation X Ma, D Hsu, WS Lee International Conference on Robotics and Automation (ICRA), 2022 | 7 | 2022 |
| Ab Initio Particle-based Object Manipulation S Chen, X Ma, Y Lu, D Hsu Robotics: Science and Systems (RSS), 2021 | 5 | 2021 |
| 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 | 5 | 2017 |
| 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 | 3 | 2021 |
| 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 | 1 | 2020 |
| Imitation Learning via Differentiable Physics S Chen, X Ma, Z Xu arXiv preprint arXiv:2206.04873, 2022 | | 2022 |
| Hierarchical Reinforcement Learning under Mixed Observability H Nguyen, Z Yang, A Baisero, X Ma, R Platt, C Amato arXiv preprint arXiv:2204.00898, 2022 | | 2022 |
| HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification J Ren*, X Ma*, C Xu*, H Zhao, S Yi arXiv preprint arXiv:2101.02568, 2021 | | 2021 |
David HsuProfessor of Computer Science, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
