-
Yucheng Xing, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang,
“AGGDN: A Continuous Stochastic Predictive Model for Modeling Sporadic Time Series on Graphs”,
in The 2023 International Conference on Neural Information Processing (ICONIP 2023), 2023
[paper]
@inproceedings{10.1007/978-981-99-8079-6_11,
author = {Xing, Yucheng and Wu, Jacqueline and Liu, Yingru and Yang, Xuewen and Wang, Xin},
title = {AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs},
year = {2023},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
booktitle = {Neural Information Processing: 30th International Conference, ICONIP 2023, Proceedings, Part I},
pages = {130–146},
location = {Changsha, China}
}
-
Xuewen Yang, Yingru Liu, Xin Wang, “ReFormer: The Relational Transformer for Image Captioning”,
Proceedings of the 30th ACM International Conference on Multimedia, 2022
[arxiv]
[paper]
@inproceedings{10.1145/3503161.3548409,
author = {Yang, Xuewen and Liu, Yingru and Wang, Xin},
title = {ReFormer: The Relational Transformer for Image Captioning},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
booktitle = {Proceedings of the 30th ACM International Conference on Multimedia},
pages = {5398–5406},
numpages = {9},
}
-
Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen, Jacqueline Wu,
“Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling”,
The 28th International Conference on Neural Information Processing (ICONIP 2021), 2021
[long paper]
[paper]
@inproceedings{yingrliu2021ICONIP,
author = {Liu, Yingru and Xing, Yucheng and Yang, Xuewen and Wang, Xin and Shi, Jing and Jin, Di and Chen, Zhaoyue and Wu, Jacqueline},
title = {Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling},
booktitle = {Neural Information Processing},
year = {2021},
publisher = {Springer International Publishing},
address = {Cham},
pages = {343--351},
}
-
Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang,
“Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards”,
2020 European Conference on Computer Vision (ECCV 2020), 2020
[arxiv]
[paper]
[code+dataset]
@inproceedings{XuewenECCV20Fashion,
Author = {Xuewen Yang and Heming Zhang and Di Jin and Yingru Liu and Chi-Hao Wu and Jianchao Tan and Dongliang Xie and Jue Wang and Xin Wang},
Title = {Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards},
booktitle = {Proceedings of the 16th European Conference on Computer Vision (ECCV)},
Year = {2020}
}
-
Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian,
“Adaptive Activation Network and Functional Regularization for Efficient Deep Multi-Task Learning”,
The 34rd AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA, 2020
[arxiv]
[paper]
[code]
@inproceedings{yingru2020AAAI,
title = "Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning",
author = "Liu, Yingru and Yang, Xuewen and Xie, Dongliang and Wang, Xin and Shen, Li and Huang, Haozhi and Balasubramanian, Niranjan",
booktitle = "Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20)",
month = "Feb",
year = "2020",
address = "New York, USA",
publisher = "Association for the Advancement of Artificial Intelligence",
}
-
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian,
“Latent Part-of-Speech Sequences for Neural Machine Translation”,
2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, 2019
[paper]
[code]
@inproceedings{yang-etal-2019-latent,
title = "Latent Part-of-Speech Sequences for Neural Machine Translation",
author = "Yang, Xuewen and Liu, Yingru and Xie, Dongliang and Wang, Xin and Balasubramanian, Niranjan",
booktitle = "Proceedings of the 2019 EMNLP-IJCNLP",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
pages = "780--790",
}
-
Yingru Liu, Dongliang Xie, Xin Wang,
“Energy-based Recurrent Model for Stochastic Modeling of Music”,
IEEE International Conference on Multimedia and Expo (ICME 2019), Shanghai, China, 2019 (oral)
[paper]
[code]
@inproceedings{yingrliu2019ICME,
author={Yingru {Liu} and Dongliang {Xie} and Xin {Wang}},
booktitle={2019 IEEE International Conference on Multimedia and Expo (ICME)},
title={Energy-Based Recurrent Model for Stochastic Modeling of Music},
year={2019},
pages={236-241},
month={July},
}
-
Yingru Liu, Dongliang Xie, Xin Wang,
“Generalized Boltzmann Machine with Deep Neural Structure”,
The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), Okinawa, Japan,
2019
[paper]
@InProceedings{yingrliu2019AISTATS,
title = {Generalized Boltzmann Machine with Deep Neural Structure},
author = {Liu, Yingru and Xie, Dongliang and Wang, Xin},
booktitle = {The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)},
pages = {926--934},
year = {2019},
volume = {89},
series = {Proceedings of Machine Learning Research},
month = {16--18 Apr},
publisher = {PMLR},
}
-
Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He,
“Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting”,
The 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii, USA, 2019
[paper]
@article{Diao2019AAAI,
title={Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting},
journal={Proceedings of the AAAI Conference on Artificial Intelligence},
author={Diao, Zulong and Wang, Xin and Zhang, Dafang and Liu, Yingru and Xie, Kun and He, Shaoyao},
pages={890-897}
year={2019},
month={Jul.},
volume={33},
number={1},
}
-
Jian Li, Hanyi Du, Yingru Liu, Kai Zhang, Hui Zhou,
“Extended Gradient Local Ternary Pattern for Vehicle Detection”,
in Proc. 17th IEEE International Conference on Computational Science and Engineering (CSE 2014), Chengdu,
China, Dec. 19-21, 2014
[paper]
@INPROCEEDINGS{Jian2014CSE,
author={Jian Li and Hanyi Du and Yingru Liu and Kai Zhang and Hui Zhou},
booktitle={2014 IEEE 17th International Conference on Computational Science and Engineering},
title={Extended Gradient Local Ternary Pattern for Vehicle Detection},
year={2014},
pages={1882-1885},
}
