Yingru Liu

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 16

Top Topics

Top Venues

Publications

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)
Xuewen Yang, Yingru Liu, Xin Wang
ReFormer: The Relational Transformer for Image Captioning. ACM Multimedia (2022)
Xuewen Yang, Yingru Liu, Xin Wang
ReFormer: The Relational Transformer for Image Captioning. CoRR (2021)
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)
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)
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) (2020)
Jing Shi, Jing Bi, Yingru Liu, Chenliang Xu
Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences. CoRR (2020)
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)
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 (2020)
Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Di Jin, Jing Shi
Learning Continuous-Time Dynamics by Stochastic Differential Networks. CoRR (2020)
Yingru Liu, Dongliang Xie, Xin Wang
Generalized Boltzmann Machine with Deep Neural Structure. AISTATS (2019)
Yingru Liu, Dongliang Xie, Xin Wang
Energy-Based Recurrent Model for Stochastic Modeling of Music. ICME (2019)
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian
Latent Part-of-Speech Sequences for Neural Machine Translation. EMNLP/IJCNLP (1) (2019)
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 (2019)
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian
Latent Part-of-Speech Sequences for Neural Machine Translation. CoRR (2019)
Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting. AAAI (2019)
Jian Li, Hanyi Du, Yingru Liu, Kai Zhang, Hui Zhou
Extended Gradient Local Ternary Pattern for Vehicle Detection. CSE (2014)