Xiao Ma - RankMe

50 papers A* 14Misc 2Journal 30Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CODA: Repurposing Continuous VAEs for Discrete Tokenization. CoRR Zeyu Liu, Zanlin Ni, YeGuo Hua, Xin Deng, Xiao Ma, Cheng Zhong, Gao Huang
2025	J	`jnl`	Decoupled Prioritized Resampling for Offline RL. IEEE Trans. Neural Networks Learn. Syst. Yang Yue, Bingyi Kang, Xiao Ma, Qisen Yang, Gao Huang, Shiji Song, Shuicheng Yan
2025	A*	`conf`	ProcWorld: Benchmarking Large Model Planning in Reachability-Constrained Environments. EMNLP Dong Wang, Xinghang Li, Zhengshen Zhang, Jirong Liu, Xiao Ma, Hanbo Zhang, Tao Kong, Huaping Liu
2024	Misc	`conf`	BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark. CoRL Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, Stephen James
2024	J	`jnl`	BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark. CoRR Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, Stephen James
2024	J	`jnl`	Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation. CoRR Eugene Teoh, Sumit Patidar, Xiao Ma, Stephen James
2024	A*	`conf`	Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation. CVPR Xiao Ma, Sumit Patidar, Iain Haughton, Stephen James
2024	J	`jnl`	Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation. CoRR Xiao Ma, Sumit Patidar, Iain Haughton, Stephen James
2024	J	`jnl`	Redundancy-Aware Action Spaces for Robot Learning. IEEE Robotics Autom. Lett. Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James
2024	J	`jnl`	Redundancy-aware Action Spaces for Robot Learning. CoRR Pietro Mazzaglia, Nicholas Backshall, Xiao Ma, Stephen James
2024	J	`jnl`	Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models. CoRR Xinghang Li, Peiyan Li, Minghuan Liu, Dong Wang, Jirong Liu, Bingyi Kang, Xiao Ma, Tao Kong, Hanbo Zhang, Huaping Liu
2023	A*	`conf`	DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. ICLR Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
2023	A*	`conf`	DiffMimic: Efficient Motion Mimicking with Differentiable Physics. ICLR Jiawei Ren, Cunjun Yu, Siwei Chen, Xiao Ma, Liang Pan, Ziwei Liu
2023	J	`jnl`	DiffMimic: Efficient Motion Mimicking with Differentiable Physics. CoRR Jiawei Ren, Cunjun Yu, Siwei Chen, Xiao Ma, Liang Pan, Ziwei Liu
2023	A*	`conf`	Efficient Diffusion Policies For Offline Reinforcement Learning. NeurIPS Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
2023	J	`jnl`	Efficient Diffusion Policies for Offline Reinforcement Learning. CoRR Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
2023	A*	`conf`	Imitation Learning as State Matching via Differentiable Physics. CVPR Siwei Chen, Xiao Ma, Zhongwen Xu
2023	J	`jnl`	Improving and Benchmarking Offline Reinforcement Learning Algorithms. CoRR Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan
2023	A*	`conf`	InsActor: Instruction-driven Physics-based Characters. NeurIPS Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Xiao Ma, Liang Pan, Ziwei Liu
2023	J	`jnl`	InsActor: Instruction-driven Physics-based Characters. CoRR Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Xiao Ma, Liang Pan, Ziwei Liu
2023	A*	`conf`	Mutual Information Regularized Offline Reinforcement Learning. NeurIPS Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
2023	J	`jnl`	Offline Prioritized Experience Replay. CoRR Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan
2023	A*	`conf`	RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu
2022	J	`jnl`	Benchmarking Deformable Object Manipulation with Differentiable Physics. CoRR Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
2022	J	`jnl`	Boosting Offline Reinforcement Learning via Data Rebalancing. CoRR Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan
2022	J	`jnl`	Imitation Learning via Differentiable Physics. CoRR Siwei Chen, Xiao Ma, Zhongwen Xu
2022	A*	`conf`	Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA Xiao Ma, David Hsu, Wee Sun Lee
2022	J	`jnl`	Mutual Information Regularized Offline Reinforcement Learning. CoRR Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
2022	J	`jnl`	Predicting Hot Events in the Early Period through Bayesian Model for Social Networks. IEEE Trans. Knowl. Data Eng. Zuowu Zheng, Xiaofeng Gao, Xiao Ma, Guihai Chen
2022	J	`jnl`	RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. CoRR Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu
2021	—	`conf`	Ab Initio Particle-based Object Manipulation. Robotics: Science and Systems Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu
2021	J	`jnl`	Ab Initio Particle-based Object Manipulation. CoRR Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu
2021	J	`jnl`	HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification. CoRR Jiawei Ren, Xiao Ma, Chen Xu, Haiyu Zhao, Shuai Yi
2021	J	`jnl`	Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR Xiao Ma, David Hsu, Wee Sun Lee
2020	A*	`conf`	Balanced Meta-Softmax for Long-Tailed Visual Recognition. NeurIPS Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu Zhao, Shuai Yi, Hongsheng Li
2020	J	`jnl`	Balanced Meta-Softmax for Long-Tailed Visual Recognition. CoRR Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu Zhao, Shuai Yi, Hongsheng Li
2020	J	`jnl`	Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
2020	Misc	`conf`	Contrastive Variational Reinforcement Learning for Complex Observations. CoRL Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
2020	J	`jnl`	DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. CoRR Siwei Chen, Xiao Ma, David Hsu
2020	J	`jnl`	Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
2020	A*	`conf`	Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
2020	A*	`conf`	Particle Filter Recurrent Neural Networks. AAAI Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
2020	—	`conf`	Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction. ECCV (12) Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi
2020	J	`jnl`	Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction. CoRR Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi
2020	J	`jnl`	Towards Overcoming False Positives in Visual Relationship Detection. CoRR Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Liu, Hongsheng Li
2019	—	`conf`	Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
2019	J	`jnl`	Differentiable Algorithm Networks for Composable Robot Learning. CoRR Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
2019	J	`jnl`	Particle Filter Recurrent Neural Networks. CoRR Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
2017	A*	`conf`	BEEP: A Bayesian Perspective Early Stage Event Prediction Model for Online Social Networks. ICDM Xiao Ma, Xiaofeng Gao, Guihai Chen
2017	—	`conf`	Trust-based time series data model for mobile crowdsensing. ICC Xiao Ma, Zhenzhe Zheng, Fan Wu, Guihai Chen