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2020 – today
- 2023
[c10]Yucheng Xing
, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang:
AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs. ICONIP (1) 2023: 130-146- 2022
- [c9]Xuewen Yang, Yingru Liu, Xin Wang:
ReFormer: The Relational Transformer for Image Captioning. ACM Multimedia 2022: 5398-5406 - 2021
- [c8]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. ICONIP (5) 2021: 343-351 - [i6]Xuewen Yang, Yingru Liu, Xin Wang:
ReFormer: The Relational Transformer for Image Captioning. CoRR abs/2107.14178 (2021) - 2020
- [j1]Xiuyu He, Wei He, Yingru Liu, Yiheng Wang, Guang Li, Yu Wang:
Robust Adaptive Control of an Offshore Ocean Thermal Energy Conversion System. IEEE Trans. Syst. Man Cybern. Syst. 50(12): 5285-5295 (2020) - [c7]Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian:
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. AAAI 2020: 4924-4931 - [c6]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. ECCV (13) 2020: 1-17 - [i5]Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Di Jin, Jing Shi:
Learning Continuous-Time Dynamics by Stochastic Differential Networks. CoRR abs/2006.06145 (2020) - [i4]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. CoRR abs/2008.02693 (2020) - [i3]Jing Shi, Jing Bi, Yingru Liu, Chenliang Xu:
Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences. CoRR abs/2010.01381 (2020)
2010 – 2019
- 2019
- [c5]Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He:
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting. AAAI 2019: 890-897 - [c4]Yingru Liu, Dongliang Xie, Xin Wang:
Generalized Boltzmann Machine with Deep Neural Structure. AISTATS 2019: 926-934 - [c3]Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian:
Latent Part-of-Speech Sequences for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 780-790 - [c2]Yingru Liu, Dongliang Xie, Xin Wang:
Energy-Based Recurrent Model for Stochastic Modeling of Music. ICME 2019: 236-241 - [i2]Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian:
Latent Part-of-Speech Sequences for Neural Machine Translation. CoRR abs/1908.11782 (2019) - [i1]Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian:
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. CoRR abs/1911.08065 (2019) - 2014
- [c1]Jian Li, Hanyi Du, Yingru Liu, Kai Zhang, Hui Zhou:
Extended Gradient Local Ternary Pattern for Vehicle Detection. CSE 2014: 1882-1885
Coauthor Index
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