Shizhao Sun

Orcid: 0000-0003-0931-2687

According to our database1, Shizhao Sun authored at least 19 papers between 2013 and 2024.

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Bibliography

2024
Collaborative Evolving Strategy for Automatic Data-Centric Development.
CoRR, 2024

IconDM: Text-Guided Icon Set Expansion Using Diffusion Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference.
IEEE Trans. Vis. Comput. Graph., June, 2023

A Survey for Graphic Design Intelligence.
CoRR, 2023

LayoutPrompter: Awaken the Design Ability of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation.
CoRR, 2022

Coarse-to-Fine Generative Modeling for Graphic Layouts.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics.
IEEE Trans. Vis. Comput. Graph., 2021

2019
Data-Anonymous Encoding for Text-to-SQL Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
EC-DNN: A new method for parallel training of deep neural networks.
Neurocomputing, 2018

Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Slim-DP: A Light Communication Data Parallelism for DNN.
CoRR, 2017

Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
On the Depth of Deep Neural Networks: A Theoretical View.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Large Margin Deep Neural Networks: Theory and Algorithms.
CoRR, 2015

2013
Exploiting query term correlation for list caching in web search engines.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013


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