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ORCIDXiao Ma 0006
Person information
- unicode name: 马骁
- affiliation: Dyson Robot Learning Lab, London, UK
- affiliation: National University of Singapore, Singapore
Other persons with the same name
- Xiao Ma — disambiguation page
- Xiao Ma 0001
![[0000-0001-6617-1978]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6617-1978")
— Sun Yat-sen University, School of Computer Science and Engineering, Guangdong Key Laboratory of Information Security Technology, Guangzhou, China (and 4 more) - Xiao Ma 0002 — Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China (and 1 more)
- Xiao Ma 0003 — University of Electronic Science and Technology of China, School of Electronic Science and Engineering, Chengdu, China
- Xiao Ma 0004 — Lehigh University, Department of Electrical and Computer Engineering, Bethlehem, PA, USA
- Xiao Ma 0005 — Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- Xiao Ma 0007 — Shaanxi Normal University, School of Physics and Information Technology, Xi'an, China
- Xiao Ma 0008 — University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN, USA
- Xiao Ma 0009 — Beijing University of Posts and Telecommunications, School of Computing, State Key Laboratory of Networking and Switching Technology, Beijing, China (and 1 more)
- Xiao Ma 0010 — Google Research, New York, NY, USA (and 1 more)
- Xiao Ma 0011 — Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China
- Xiao Ma 0012 — University of Houston, C. T. Bauer College of Business, Houston, TX, USA (and 2 more)
- Xiao Ma 0013 — Nottingham Trent University, Nottingham Business School, Nottingham, UK (and 1 more)
- Xiao Ma 0014 — University of Illinois at Urbana-Champaign, IL, USA (and 1 more)
- Xiao Ma 0015 — Chongqing University of Science and Technology, School of Intelligent Technology and Engineering, Chongqing, China
- Xiao Ma 0016 — University of Science and Technology of China, Key Laboratory of Brain Function and Diseases, Hefei, China (and 1 more)
- Xiao Ma 0017 — University of Delaware, Department of Electrical and Computer Engineering, Newark, DE, USA
- Xiao Ma 0018 — University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong
- Xiao Ma 0019 — Mayo Clinic, Rochester, MN, USA
- Xiao Ma 0021 — Xidian University, School of Telecommunication Engineering, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Xiao Ma 0022 — Beijing Language and Culture University, School of Information Science, Beijing, China
- Xiao Ma 0023 — Hong Kong Polytechnic University, Hong Kong
- Xiao Ma 0024 — LMU Munich, University Hospital, Department of Psychiatry and Psychotherapy, Munich, Germany
- Xiao Ma 0025 — University of Texas Southwestern Medical Center, Department of Bioinformatics, Dallas, TX, USA
- Xiao Ma 0026 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen, China
- Xiao Ma 0027 — University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, IL, USA
- Xiao Ma 0028 — Alibaba Group, Beijing, China
Other persons with a similar name
- Mingxiao Ma (aka: Ming-xiao Ma) — disambiguation page
- Xi'ao Ma (aka: Xi-Ao Ma) — Zhejiang Gongshang University, School of Computer Science and Technology, Hangzhou, China (and 1 more)
- Xiao-Jun Ma
- Xiao-Ying Ma
- Xiao Hua Ma
- Xiao Qing Ma
- Xiao San Ma
- Xiaoke Ma (aka: Xiao-Ke Ma) — disambiguation page
- Xiaoping Ma (aka: Xiao-Ping Ma) — disambiguation page
- Xiaoxiao Ma (aka: Xiao-Xiao Ma) — disambiguation page
- show all similar names
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2020 – today
- 2024
[j2]Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James:
Redundancy-Aware Action Spaces for Robot Learning. IEEE Robotics Autom. Lett. 9(8): 6912-6919 (2024)- [c18]Xiao Ma, Sumit Patidar, Iain Haughton, Stephen James:
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation. CVPR 2024: 18081-18090 - [i25]Xiao Ma, Sumit Patidar, Iain Haughton, Stephen James:
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation. CoRR abs/2403.03890 (2024) - [i24]Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James:
Redundancy-aware Action Spaces for Robot Learning. CoRR abs/2406.04144 (2024) - [i23]Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, Stephen James:
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark. CoRR abs/2407.07788 (2024) - [i22]Eugene Teoh, Sumit Patidar, Xiao Ma, Stephen James:
Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation. CoRR abs/2407.07868 (2024) - 2023
- [c17]Siwei Chen, Xiao Ma, Zhongwen Xu:
Imitation Learning as State Matching via Differentiable Physics. CVPR 2023: 7846-7855 - [c16]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR 2023 - [c15]Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu:
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. ICLR 2023 - [c14]Jiawei Ren, Cunjun Yu, Siwei Chen, Xiao Ma, Liang Pan, Ziwei Liu:
DiffMimic: Efficient Motion Mimicking with Differentiable Physics. ICLR 2023 - [c13]Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan:
Mutual Information Regularized Offline Reinforcement Learning. NeurIPS 2023 - [c12]Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan:
Efficient Diffusion Policies For Offline Reinforcement Learning. NeurIPS 2023 - [c11]Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Xiao Ma, Liang Pan, Ziwei Liu:
InsActor: Instruction-driven Physics-based Characters. NeurIPS 2023 - [i21]Jiawei Ren, Cunjun Yu, Siwei Chen, Xiao Ma, Liang Pan, Ziwei Liu:
DiffMimic: Efficient Motion Mimicking with Differentiable Physics. CoRR abs/2304.03274 (2023) - [i20]Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan:
Efficient Diffusion Policies for Offline Reinforcement Learning. CoRR abs/2305.20081 (2023) - [i19]Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan:
Improving and Benchmarking Offline Reinforcement Learning Algorithms. CoRR abs/2306.00972 (2023) - [i18]Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan:
Offline Prioritized Experience Replay. CoRR abs/2306.05412 (2023) - [i17]Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Xiao Ma, Liang Pan, Ziwei Liu:
InsActor: Instruction-driven Physics-based Characters. CoRR abs/2312.17135 (2023) - 2022
- [j1]Zuowu Zheng, Xiaofeng Gao, Xiao Ma, Guihai Chen:
Predicting Hot Events in the Early Period through Bayesian Model for Social Networks. IEEE Trans. Knowl. Data Eng. 34(3): 1390-1403 (2022) - [c10]Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA 2022: 8266-8273 - [i16]Siwei Chen, Xiao Ma, Zhongwen Xu:
Imitation Learning via Differentiable Physics. CoRR abs/2206.04873 (2022) - [i15]Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan:
Mutual Information Regularized Offline Reinforcement Learning. CoRR abs/2210.07484 (2022) - [i14]Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Boosting Offline Reinforcement Learning via Data Rebalancing. CoRR abs/2210.09241 (2022) - [i13]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. CoRR abs/2210.09646 (2022) - [i12]Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu:
Benchmarking Deformable Object Manipulation with Differentiable Physics. CoRR abs/2210.13066 (2022) - 2021
- [c9]Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu:
Ab Initio Particle-based Object Manipulation. Robotics: Science and Systems 2021 - [i11]Jiawei Ren, Xiao Ma, Chen Xu, Haiyu Zhao, Shuai Yi:
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification. CoRR abs/2101.02568 (2021) - [i10]Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR abs/2104.12149 (2021) - [i9]Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu:
Ab Initio Particle-based Object Manipulation. CoRR abs/2107.08865 (2021) - 2020
- [c8]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. AAAI 2020: 5101-5108 - [c7]Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Reinforcement Learning for Complex Observations. CoRL 2020: 959-972 - [c6]Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi:
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction. ECCV (12) 2020: 507-523 - [c5]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR 2020 - [c4]Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu Zhao, Shuai Yi, Hongsheng Li:
Balanced Meta-Softmax for Long-Tailed Visual Recognition. NeurIPS 2020 - [i8]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR abs/2002.09884 (2020) - [i7]Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi:
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction. CoRR abs/2005.08514 (2020) - [i6]Siwei Chen, Xiao Ma, David Hsu:
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. CoRR abs/2007.06207 (2020) - [i5]Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu Zhao, Shuai Yi, Hongsheng Li:
Balanced Meta-Softmax for Long-Tailed Visual Recognition. CoRR abs/2007.10740 (2020) - [i4]Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR abs/2008.02430 (2020) - [i3]Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Liu, Hongsheng Li:
Towards Overcoming False Positives in Visual Relationship Detection. CoRR abs/2012.12510 (2020)
2010 – 2019
- 2019
- [c3]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems 2019 - [i2]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. CoRR abs/1905.11602 (2019) - [i1]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. CoRR abs/1905.12885 (2019) - 2017
- [c2]Xiao Ma, Zhenzhe Zheng, Fan Wu, Guihai Chen:
Trust-based time series data model for mobile crowdsensing. ICC 2017: 1-6 - [c1]Xiao Ma, Xiaofeng Gao, Guihai Chen:
BEEP: A Bayesian Perspective Early Stage Event Prediction Model for Online Social Networks. ICDM 2017: 973-978
Coauthor Index
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last updated on 2024-12-10 20:46 CET by the dblp team
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