Sirui Xie

39 papers A* 11A 1Misc 1Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
B*: Efficient and Optimal Base Placement for Fixed-Base Manipulators.
CoRR
Zihang Zhao, Leiyao Cui, Sirui Xie, Saiyao Zhang, Zhi Han, Lecheng Ruan, Yixin Zhu
2025 J jnl
Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage.
CoRR
Peiyu Yu, Suraj Kothawade, Sirui Xie, Ying Nian Wu, Hongliang Fei
2025 J jnl
Generative Actor Critic.
CoRR
Aoyang Qin, Deqian Kong, Wei Wang, Ying Nian Wu, Song-Chun Zhu, Sirui Xie
2025 A* conf
Latent Thought Models with Variational Bayes Inference-Time Computation.
ICML
Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu
2025 J jnl
Scalable Language Models with Posterior Inference of Latent Thought Vectors.
CoRR
Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu
2025 J jnl
Vi-TacMan: Articulated Object Manipulation via Vision and Touch.
CoRR
Leiyao Cui, Zihang Zhao, Sirui Xie, Wenhuan Zhang, Zhi Han, Yixin Zhu
2024 A* conf
EM Distillation for One-step Diffusion Models.
NeurIPS
Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin P. Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
2024 J jnl
EM Distillation for One-step Diffusion Models.
CoRR
Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
2024 A* conf
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference.
NeurIPS
Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
2024 J jnl
Latent Plan Transformer: Planning as Latent Variable Inference.
CoRR
Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
2024 — conf
Structured-NeRF: Hierarchical Scene Graph with Neural Representation.
ECCV (35)
Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Liyi Luo, Hao Zhao, Guyue Zhou, Haoang Li, Zike Yan
2023 J jnl
ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation.
CoRR
Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Weibo Gao, Liyi Luo, Zike Yan, Hao Zhao, Guyue Zhou
2023 A* conf
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC.
NeurIPS
Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
2023 J jnl
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC.
CoRR
Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
2023 A* conf
Learning non-Markovian Decision-Making from State-only Sequences.
NeurIPS
Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie
2023 J jnl
Learning non-Markovian Decision-Making from State-only Sequences.
CoRR
Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie
2022 A* conf
COAT: Measuring Object Compositionality in Emergent Representations.
ICML
Sirui Xie, Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam
2022 A* conf
Emergent Graphical Conventions in a Visual Communication Game.
NeurIPS
Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Jungseock Joo, Song-Chun Zhu, Yixin Zhu
2022 J jnl
Latent Diffusion Energy-Based Model for Interpretable Text Modeling.
CoRR
Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
2022 A* conf
Latent Diffusion Energy-Based Model for Interpretable Text Modelling.
ICML
Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
2022 — conf
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning.
ECCV (39)
Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu
2021 J jnl
Emergent Graphical Conventions in a Visual Communication Game.
CoRR
Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Song-Chun Zhu, Yixin Zhu
2021 J jnl
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving.
CoRR
Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
2021 J jnl
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning.
CoRR
Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu
2021 A conf
Understanding the wiring evolution in differentiable neural architecture search.
AISTATS
Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
2021 A* conf
Unsupervised Foreground Extraction via Deep Region Competition.
NeurIPS
Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
2021 J jnl
Unsupervised Foreground Extraction via Deep Region Competition.
CoRR
Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
2020 A* conf
DSNAS: Direct Neural Architecture Search Without Parameter Retraining.
CVPR
Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
2020 J jnl
DSNAS: Direct Neural Architecture Search without Parameter Retraining.
CoRR
Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
2020 J jnl
Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation.
CoRR
Sirui Xie, Feng Gao, Song-Chun Zhu
2020 A* conf
Graph-Guided Architecture Search for Real-Time Semantic Segmentation.
CVPR
Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi
2020 Misc conf
Learning a Decision Module by Imitating Driver's Control Behaviors.
CoRL
Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Dahua Lin, Bolei Zhou
2020 J jnl
Understanding the wiring evolution in differentiable neural architecture search.
CoRR
Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
2019 J jnl
Graph-guided Architecture Search for Real-time Semantic Segmentation.
CoRR
Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi
2019 J jnl
Learning Driving Decisions by Imitating Drivers' Control Behaviors.
CoRR
Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou
2019 — conf
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning.
ICLR (Poster)
Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin
2019 — conf
SNAS: stochastic neural architecture search.
ICLR (Poster)
Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin
2018 J jnl
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning.
CoRR
Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin
2018 J jnl
SNAS: Stochastic Neural Architecture Search.
CoRR
Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin