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2020 – today
- 2024
[c11]Jiawei Lin
, Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Ting Liu, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
IconDM: Text-Guided Icon Set Expansion Using Diffusion Models. ACM Multimedia 2024: 156-165- [i10]Xu Yang, Haotian Chen, Wenjun Feng, Haoxue Wang, Zeqi Ye, Xinjie Shen, Xiao Yang, Shizhao Sun, Weiqing Liu, Jiang Bian:
Collaborative Evolving Strategy for Automatic Data-Centric Development. CoRR abs/2407.18690 (2024) - 2023
- [j3]Wenyuan Kong, Zhaoyun Jiang, Shizhao Sun, Zhuoning Guo, Weiwei Cui, Ting Liu, Jianguang Lou, Dongmei Zhang:
Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference. IEEE Trans. Vis. Comput. Graph. 29(6): 3093-3104 (2023) - [c10]Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang:
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction. CVPR 2023: 18403-18412 - [c9]Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang:
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models. ICCV 2023: 7192-7202 - [c8]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang:
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions. ICCV 2023: 23565-23574 - [c7]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
LayoutPrompter: Awaken the Design Ability of Large Language Models. NeurIPS 2023 - [i9]Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang:
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models. CoRR abs/2303.11589 (2023) - [i8]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang:
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions. CoRR abs/2308.12700 (2023) - [i7]Danqing Huang, Jiaqi Guo, Shizhao Sun, Hanling Tian, Jieru Lin, Zheng Hu, Chin-Yew Lin, Jian-Guang Lou, Dongmei Zhang:
A Survey for Graphic Design Intelligence. CoRR abs/2309.01371 (2023) - [i6]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang:
LayoutPrompter: Awaken the Design Ability of Large Language Models. CoRR abs/2311.06495 (2023) - 2022
- [c6]Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang:
Coarse-to-Fine Generative Modeling for Graphic Layouts. AAAI 2022: 1096-1103 - [i5]Zhaoyun Jiang, Huayu Deng, Zhongkai Wu, Jiaqi Guo, Shizhao Sun, Vuksan Mijovic, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation. CoRR abs/2208.08037 (2022) - 2021
- [j2]Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang:
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics. IEEE Trans. Vis. Comput. Graph. 27(2): 443-452 (2021) - 2020
- [i4]Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang:
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics. CoRR abs/2008.01177 (2020)
2010 – 2019
- 2019
- [c5]Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang:
Data-Anonymous Encoding for Text-to-SQL Generation. EMNLP/IJCNLP (1) 2019: 5404-5413 - 2018
- [j1]Shizhao Sun, Xiaoguang Liu:
EC-DNN: A new method for parallel training of deep neural networks. Neurocomputing 287: 118-127 (2018) - [c4]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning. AAMAS 2018: 721-729 - 2017
- [c3]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks. ECML/PKDD (1) 2017: 187-202 - [i3]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Slim-DP: A Light Communication Data Parallelism for DNN. CoRR abs/1709.09393 (2017) - 2016
- [c2]Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu:
On the Depth of Deep Neural Networks: A Theoretical View. AAAI 2016: 2066-2072 - [i2]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks. CoRR abs/1606.00575 (2016) - 2015
- [i1]Shizhao Sun, Wei Chen, Liwei Wang, Tie-Yan Liu:
Large Margin Deep Neural Networks: Theory and Algorithms. CoRR abs/1506.05232 (2015) - 2013
- [c1]Jiancong Tong, Gang Wang, Douglas S. Stones, Shizhao Sun, Xiaoguang Liu, Fan Zhang:
Exploiting query term correlation for list caching in web search engines. CIKM 2013: 1817-1820
Coauthor Index
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