NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. - Sirui Xie; Junning Huang; Lanxin Lei; Chunxiao Liu; Zheng Ma 008; Wei Zhang 114; Liang Lin (ICLR (Poster), 2019)

SNAS: stochastic neural architecture search. - Sirui Xie; Hehui Zheng; Chunxiao Liu; Liang Lin (ICLR (Poster), 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)

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 (CoRL, 2020)

DSNAS: Direct Neural Architecture Search Without Parameter Retraining. - Shoukang Hu; Sirui Xie; Hehui Zheng; Chunxiao Liu; Jianping Shi; Xunying Liu; Dahua Lin (CVPR, 2020)

Graph-Guided Architecture Search for Real-Time Semantic Segmentation. - Peiwen Lin; Peng Sun 011; Guangliang Cheng; Sirui Xie; Xi Li 001; Jianping Shi (CVPR, 2020)

Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation. - Sirui Xie; Feng Gao 013; Song-Chun Zhu (CoRR, 2020)

Understanding the wiring evolution in differentiable neural architecture search. - Sirui Xie; Shoukang Hu; Xinjiang Wang; Chunxiao Liu; Jianping Shi; Xunying Liu; Dahua Lin (AISTATS, 2021)

Unsupervised Foreground Extraction via Deep Region Competition. - Peiyu Yu; Sirui Xie; Xiaojian Ma 001; Yixin Zhu 001; Ying Nian Wu; Song-Chun Zhu (NeurIPS, 2021)

HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving. - Sirui Xie; Xiaojian Ma 001; Peiyu Yu; Yixin Zhu 001; Ying Nian Wu; Song-Chun Zhu (CoRR, 2021)

Emergent Graphical Conventions in a Visual Communication Game. - Shuwen Qiu; Sirui Xie; Lifeng Fan; Tao Gao 004; Song-Chun Zhu; Yixin Zhu 001 (CoRR, 2021)

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. - Chi Zhang 017; Sirui Xie; Baoxiong Jia; Ying Nian Wu; Song-Chun Zhu; Yixin Zhu 001 (ECCV (39), 2022)

COAT: Measuring Object Compositionality in Emergent Representations. - Sirui Xie; Ari S. Morcos; Song-Chun Zhu; Ramakrishna Vedantam (ICML, 2022)

Latent Diffusion Energy-Based Model for Interpretable Text Modelling. - Peiyu Yu; Sirui Xie; Xiaojian Ma 001; Baoxiong Jia; Bo Pang 004; Ruiqi Gao; Yixin Zhu 001; Song-Chun Zhu; Ying Nian Wu (ICML, 2022)

Emergent Graphical Conventions in a Visual Communication Game. - Shuwen Qiu; Sirui Xie; Lifeng Fan; Tao Gao 004; Jungseock Joo; Song-Chun Zhu; Yixin Zhu 001 (NeurIPS, 2022)

Latent Diffusion Energy-Based Model for Interpretable Text Modeling. - Peiyu Yu; Sirui Xie; Xiaojian Ma 001; Baoxiong Jia; Bo Pang 004; Ruiqi Gao; Yixin Zhu 001; Song-Chun Zhu; Ying Nian Wu (CoRR, 2022)

Learning non-Markovian Decision-Making from State-only Sequences. - Aoyang Qin; Feng Gao 013; Qing Li 003; Song-Chun Zhu; Sirui Xie (NeurIPS, 2023)

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. - Peiyu Yu; Yaxuan Zhu; Sirui Xie; Xiaojian Ma 001; Ruiqi Gao; Song-Chun Zhu; Ying Nian Wu (NeurIPS, 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 002; Guyue Zhou (CoRR, 2023)

Structured-NeRF: Hierarchical Scene Graph with Neural Representation. - Zhide Zhong; Jiakai Cao; Songen Gu; Sirui Xie; Liyi Luo; Hao Zhao 002; Guyue Zhou; Haoang Li; Zike Yan (ECCV (35), 2024)

Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference. - Deqian Kong; Dehong Xu; Minglu Zhao; Bo Pang 004; Jianwen Xie; Andrew Lizarraga; Yuhao Huang; Sirui Xie; Ying Nian Wu (NeurIPS, 2024)

EM Distillation for One-step Diffusion Models. - Sirui Xie; Zhisheng Xiao; Diederik P. Kingma; Tingbo Hou; Ying Nian Wu; Kevin P. Murphy; Tim Salimans; Ben Poole; Ruiqi Gao (NeurIPS, 2024)

Latent Plan Transformer: Planning as Latent Variable Inference. - Deqian Kong; Dehong Xu; Minglu Zhao; Bo Pang 004; Jianwen Xie; Andrew Lizarraga; Yuhao Huang; Sirui Xie; Ying Nian Wu (CoRR, 2024)

Scalable Language Models with Posterior Inference of Latent Thought Vectors. - Deqian Kong; Minglu Zhao; Dehong Xu; Bo Pang 004; Shu Wang 002; Edouardo Honig; Zhangzhang Si; Chuan Li; Jianwen Xie; Sirui Xie; Ying Nian Wu (CoRR, 2025)

B*: Efficient and Optimal Base Placement for Fixed-Base Manipulators. - Zihang Zhao; Leiyao Cui; Sirui Xie; Saiyao Zhang; Zhi Han; Lecheng Ruan; Yixin Zhu 001 (CoRR, 2025)