Zi Wang

Non-line-of-Sight Imaging via Neural Transient Fields

Jan 05, 2021
Siyuan Shen, Zi Wang, Ping Liu, Zhengqing Pan, Ruiqian Li, Tian Gao, Shiying Li, Jingyi Yu

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Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning

Jan 02, 2021
Zi Wang, Di Guo, Yihui Huang, Zhangren Tu, Vladislav Orekhov, Xiaobo Qu

* Main text: 5 pages, 5 figures. Supplement: 23 pages, 16 figures, 3 tables

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Abstract Universal Approximation for Neural Networks

Jul 14, 2020
Zi Wang, Aws Albarghouthi, Somesh Jha

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Learning compositional models of robot skills for task and motion planning

Jun 08, 2020
Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez

* First two authors contributed equally. arXiv admin note: text overlap with arXiv:1803.00967

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Semantic Robustness of Models of Source Code

Feb 07, 2020
Goutham Ramakrishnan, Jordan Henkel, Zi Wang, Aws Albarghouthi, Somesh Jha, Thomas Reps

* 19 pages

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Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy

Jan 13, 2020
Dicheng Chen, Zi Wang, Di Guo, Vladislav Orekhov, Xiaobo Qu

* 8 pages, 12 figures, 1 table

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Investigating Channel Pruning through Structural Redundancy Reduction - A Statistical Study

May 19, 2019
Chengcheng Li, Zi Wang, Dali Wang, Xiangyang Wang, Hairong Qi

* 2019 ICML Workshop, Joint Workshop on On-Device Machine Learning & Compact Deep Neural Network Representations (ODML-CDNNR). Unnecessary figure after reference removed

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Speeding up convolutional networks pruning with coarse ranking

Feb 18, 2019
Zi Wang, Chengcheng Li, Dali Wang, Xiangyang Wang, Hairong Qi

* Submitted to ICIP 2019

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Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers

Feb 18, 2019
Chengcheng Li, Zi Wang, Xiangyang Wang, Hairong Qi

* Submitted to ICIP 2019

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Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior

Nov 23, 2018
Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling

* Proceedings of the Thirty-second Conference on Neural Information Processing Systems, 2018

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Learning sparse relational transition models

Oct 26, 2018
Victoria Xia, Zi Wang, Leslie Pack Kaelbling

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Active model learning and diverse action sampling for task and motion planning

Aug 12, 2018
Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez

* Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain. https://www.youtube.com/playlist?list=PLoWhBFPMfSzDbc8CYelsbHZa1d3uz-W_c

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Optimization as Estimation with Gaussian Processes in Bandit Settings

Aug 12, 2018
Zi Wang, Bolei Zhou, Stefanie Jegelka

* Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) 2016, Cadiz, Spain

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Learning to guide task and motion planning using score-space representation

Jul 26, 2018
Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomas Lozano-Perez

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Batched Large-scale Bayesian Optimization in High-dimensional Spaces

May 16, 2018
Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka

* Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018, Lanzarote, Spain

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Fast-converging Conditional Generative Adversarial Networks for Image Synthesis

May 05, 2018
Chengcheng Li, Zi Wang, Hairong Qi

* Accepted by ICIP 2018

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Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis

Mar 02, 2018
Zi Wang, Dali Wang, Chengcheng Li, Yichi Xu, Husheng Li, Zhirong Bao

* Bioinformatics, 2018
* We revised the manuscript to make it clearer to follow. Please notice that the Abstract shown in this page is slightly different than that in the manuscript due to the limitation of 1920 characters in arxiv.org

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Zi Wang

Non-line-of-Sight Imaging via Neural Transient Fields

Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning

Abstract Universal Approximation for Neural Networks

Learning compositional models of robot skills for task and motion planning

Semantic Robustness of Models of Source Code

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy

Investigating Channel Pruning through Structural Redundancy Reduction - A Statistical Study

Speeding up convolutional networks pruning with coarse ranking

Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior

Learning sparse relational transition models

Active model learning and diverse action sampling for task and motion planning

Optimization as Estimation with Gaussian Processes in Bandit Settings

Learning to guide task and motion planning using score-space representation

Batched Large-scale Bayesian Optimization in High-dimensional Spaces

Fast-converging Conditional Generative Adversarial Networks for Image Synthesis

Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis

Batched High-dimensional Bayesian Optimization via Structural Kernel Learning

Max-value Entropy Search for Efficient Bayesian Optimization

Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems

Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations

Sparse multi-view matrix factorisation: a multivariate approach to multiple tissue comparisons