Yingru Liu

According to our database, Yingru Liu authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evolved Differential Model for Sporadic Graph Time-Series Prediction.

Yucheng Xing, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang

Intell. Converged Networks, 2024

2023

AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs.

Yucheng Xing, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

ReFormer: The Relational Transformer for Image Captioning.

Xuewen Yang, Yingru Liu, Xin Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling.

Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen, Jacqueline Wu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Robust Adaptive Control of an Offshore Ocean Thermal Energy Conversion System.

Xiuyu He, Wei He, Yingru Liu, Yiheng Wang, Guang Li, Yu Wang

IEEE Trans. Syst. Man Cybern. Syst., 2020

Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences.

Jing Shi, Jing Bi, Yingru Liu, Chenliang Xu

CoRR, 2020

Learning Continuous-Time Dynamics by Stochastic Differential Networks.

Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Di Jin, Jing Shi

CoRR, 2020

Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards.

Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning.

Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Energy-Based Recurrent Model for Stochastic Modeling of Music.

Yingru Liu, Dongliang Xie, Xin Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Latent Part-of-Speech Sequences for Neural Machine Translation.

Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generalized Boltzmann Machine with Deep Neural Structure.

Yingru Liu, Dongliang Xie, Xin Wang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting.

Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2014

Extended Gradient Local Ternary Pattern for Vehicle Detection.

Jian Li, Hanyi Du, Yingru Liu, Kai Zhang, Hui Zhou

Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014