1. Jing Shi, Jing Bi, Yingru Liu, Chenliang Xu, “Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences”, arXiv:2010.01381, 2020


  1. Yucheng Xing, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang, “AGGDN: A Continuous Stochastic Predictive Model for Modeling Sporadic Time Series on Graphs”, to appear in The 2023 International Conference on Neural Information Processing (ICONIP 2023), 2023 [paper] [bibtex]
  2. 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] [bibtex]
  3. 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] [bibtex]
  4. 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] [bibtex]
  5. 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] [bibtex]
  6. 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] [bibtex]
  7. 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] [bibtex]
  8. 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] [bibtex]
  9. 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] [bibtex]
  10. 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] [bibtex]


  1. Xiuyu He, Wei He, Yingru Liu, Yiheng Wang, Guang Li, Yu Wang “Robust Adaptive Control of an Offshore Ocean Thermal Energy Conversion System” in IEEE Tran. on Systems, Man and Cybernetics: Systems
    [paper] [bibtex]