Trust-based time series data model for mobile crowdsensing. - Xiao Ma 006; Zhenzhe Zheng; Fan Wu 006; Guihai Chen (ICC, 2017)

BEEP: A Bayesian Perspective Early Stage Event Prediction Model for Online Social Networks. - Xiao Ma 006; Xiaofeng Gao 001; Guihai Chen (ICDM, 2017)

Differentiable Algorithm Networks for Composable Robot Learning. - Péter Karkus; Xiao Ma 006; David Hsu; Leslie Pack Kaelbling; Wee Sun Lee; Tomás Lozano-Pérez (Robotics: Science and Systems, 2019)

Particle Filter Recurrent Neural Networks. - Xiao Ma 006; Péter Karkus; David Hsu; Wee Sun Lee (AAAI, 2020)

Contrastive Variational Reinforcement Learning for Complex Observations. - Xiao Ma 006; Siwei Chen 003; David Hsu; Wee Sun Lee (CoRL, 2020)

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction. - Cunjun Yu; Xiao Ma 006; Jiawei Ren 001; Haiyu Zhao; Shuai Yi (ECCV (12), 2020)

Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. - Xiao Ma 006; Péter Karkus; David Hsu; Wee Sun Lee; Nan Ye (ICLR, 2020)

Balanced Meta-Softmax for Long-Tailed Visual Recognition. - Jiawei Ren 001; Cunjun Yu; Shunan Sheng; Xiao Ma 006; Haiyu Zhao; Shuai Yi; Hongsheng Li 001 (NeurIPS, 2020)

DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. - Siwei Chen 003; Xiao Ma 006; David Hsu (CoRR, 2020)

Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. - Xiao Ma 006; Siwei Chen 003; David Hsu; Wee Sun Lee (CoRR, 2020)

Towards Overcoming False Positives in Visual Relationship Detection. - Daisheng Jin; Xiao Ma 006; Chongzhi Zhang; Yizhuo Zhou; Jiashu Tao; Mingyuan Zhang; Haiyu Zhao; Shuai Yi; Zhoujun Li; Xianglong Liu 001; Hongsheng Li 001 (CoRR, 2020)

Ab Initio Particle-based Object Manipulation. - Siwei Chen 003; Xiao Ma 006; Yunfan Lu; David Hsu (Robotics: Science and Systems, 2021)

HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification. - Jiawei Ren 001; Xiao Ma 006; Chen Xu; Haiyu Zhao; Shuai Yi (CoRR, 2021)

Learning Latent Graph Dynamics for Deformable Object Manipulation. - Xiao Ma 006; David Hsu; Wee Sun Lee (CoRR, 2021)

Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. - Xiao Ma 006; David Hsu; Wee Sun Lee (ICRA, 2022)

Imitation Learning via Differentiable Physics. - Siwei Chen 003; Xiao Ma 006; Zhongwen Xu (CoRR, 2022)

Boosting Offline Reinforcement Learning via Data Rebalancing. - Yang Yue; Bingyi Kang; Xiao Ma 006; Zhongwen Xu; Gao Huang 001; Shuicheng Yan (CoRR, 2022)

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. - Wei Qiu 001; Xiao Ma 006; Bo An 001; Svetlana Obraztsova; Shuicheng Yan; Zhongwen Xu (CoRR, 2022)

Benchmarking Deformable Object Manipulation with Differentiable Physics. - Siwei Chen 003; Cunjun Yu; Yiqing Xu; Linfeng Li; Xiao Ma 006; Zhongwen Xu; David Hsu (CoRR, 2022)

Predicting Hot Events in the Early Period through Bayesian Model for Social Networks. - Zuowu Zheng; Xiaofeng Gao 001; Xiao Ma 006; Guihai Chen (IEEE Trans. Knowl. Data Eng., 2022)

Imitation Learning as State Matching via Differentiable Physics. - Siwei Chen 003; Xiao Ma 006; Zhongwen Xu (CVPR, 2023)

RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. - Wei Qiu 001; Xiao Ma 006; Bo An 001; Svetlana Obraztsova; Shuicheng Yan; Zhongwen Xu (ICLR, 2023)

DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. - Siwei Chen 003; Yiqing Xu; Cunjun Yu; Linfeng Li; Xiao Ma 006; Zhongwen Xu; David Hsu (ICLR, 2023)

DiffMimic: Efficient Motion Mimicking with Differentiable Physics. - Jiawei Ren 001; Cunjun Yu; Siwei Chen 003; Xiao Ma 006; Liang Pan; Ziwei Liu 002 (ICLR, 2023)

Mutual Information Regularized Offline Reinforcement Learning. - Xiao Ma 006; Bingyi Kang; Zhongwen Xu; Min Lin; Shuicheng Yan (NeurIPS, 2023)

Efficient Diffusion Policies For Offline Reinforcement Learning. - Bingyi Kang; Xiao Ma 006; Chao Du; Tianyu Pang; Shuicheng Yan (NeurIPS, 2023)

InsActor: Instruction-driven Physics-based Characters. - Jiawei Ren 001; Mingyuan Zhang; Cunjun Yu; Xiao Ma 006; Liang Pan; Ziwei Liu 002 (NeurIPS, 2023)

Improving and Benchmarking Offline Reinforcement Learning Algorithms. - Bingyi Kang; Xiao Ma 006; Yirui Wang 008; Yang Yue; Shuicheng Yan (CoRR, 2023)

Offline Prioritized Experience Replay. - Yang Yue; Bingyi Kang; Xiao Ma 006; Gao Huang 001; Shiji Song; Shuicheng Yan (CoRR, 2023)

BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark. - Nikita Chernyadev; Nicholas Backshall; Xiao Ma 006; Yunfan Lu; Younggyo Seo; Stephen James (CoRL, 2024)

Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation. - Xiao Ma 006; Sumit Patidar; Iain Haughton; Stephen James (CVPR, 2024)

Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation. - Eugene Teoh; Sumit Patidar; Xiao Ma 006; Stephen James (CoRR, 2024)

Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models. - Xinghang Li; Peiyan Li; Minghuan Liu; Dong Wang; Jirong Liu; Bingyi Kang; Xiao Ma 006; Tao Kong; Hanbo Zhang; Huaping Liu (CoRR, 2024)

Redundancy-Aware Action Spaces for Robot Learning. - Pietro Mazzaglia; Nicholas Backshall; Xiao Ma 006; Stephen James (IEEE Robotics Autom. Lett., 2024)

CODA: Repurposing Continuous VAEs for Discrete Tokenization. - Zeyu Liu; Zanlin Ni; Yeguo Hua; Xin Deng; Xiao Ma 006; Cheng Zhong; Gao Huang 001 (CoRR, 2025)

Decoupled Prioritized Resampling for Offline RL. - Yang Yue; Bingyi Kang; Xiao Ma 006; Qisen Yang; Gao Huang 001; Shiji Song; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2025)