Sirui Xie

According to our database, Sirui Xie authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EM Distillation for One-step Diffusion Models.

Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao

CoRR, 2024

Latent Plan Transformer: Planning as Latent Variable Inference.

Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu

CoRR, 2024

Structured-NeRF: Hierarchical Scene Graph with Neural Representation.

Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Liyi Luo, Hao Zhao, Guyue Zhou, Haoang Li, Zike Yan

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation.

Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Weibo Gao, Liyi Luo, Zike Yan, Hao Zhao, Guyue Zhou

CoRR, 2023

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC.

Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning non-Markovian Decision-Making from State-only Sequences.

Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Latent Diffusion Energy-Based Model for Interpretable Text Modeling.

Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu

CoRR, 2022

Emergent Graphical Conventions in a Visual Communication Game.

Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Jungseock Joo, Song-Chun Zhu, Yixin Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Latent Diffusion Energy-Based Model for Interpretable Text Modelling.

Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu

Proceedings of the International Conference on Machine Learning, 2022

COAT: Measuring Object Compositionality in Emergent Representations.

Sirui Xie, Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam

Proceedings of the International Conference on Machine Learning, 2022

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning.

Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Emergent Graphical Conventions in a Visual Communication Game.

Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Song-Chun Zhu, Yixin Zhu

CoRR, 2021

HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving.

Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

CoRR, 2021

Unsupervised Foreground Extraction via Deep Region Competition.

Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding the wiring evolution in differentiable neural architecture search.

Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation.

Sirui Xie, Feng Gao, Song-Chun Zhu

CoRR, 2020

Graph-Guided Architecture Search for Real-Time Semantic Segmentation.

Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DSNAS: Direct Neural Architecture Search Without Parameter Retraining.

Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning a Decision Module by Imitating Driver's Control Behaviors.

Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Dahua Lin, Bolei Zhou

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning Driving Decisions by Imitating Drivers' Control Behaviors.

Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou

CoRR, 2019

SNAS: stochastic neural architecture search.

Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin

Proceedings of the 7th International Conference on Learning Representations, 2019

NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning.

Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin

Proceedings of the 7th International Conference on Learning Representations, 2019