Publications for Dongjin Song

  • Learning Deep Network Representations with Adversarially Regularized Autoencoders

    KDD 2018 - 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    pp. 2663-2671, 2018

    Wenchao Yu, University of California, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
    08/23/2018
  • Deep r-th Root Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval

    KDD 2018 - 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    pp. 2229-2238, 2018

    Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao
    08/23/2018
  • Identifying and Quantifying Nonlinear Structured Relationships in Complex Manufactural Systems

    Proceedings of the 2017 IEEE International Conference on Big Data (Big Data 2017) , Boston, MA
    pp. 1357-1362, 2017 IEEE

    Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Guofei Jiang, Jinbo Bi
    12/14/2017
  • Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems

    Proceedings of the 2017 IEEE International Conference on Data Mining (ICDM), New Orleans, LA
    pp. 1003-1008, 2017 IEEE

    Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
    11/22/2017
  • Dual-Stage Attention Based Recurrent Neural Network for Time Series Prediction

    Proceedings of The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017)
    pp. 2627-2633, 2017

    Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell
    08/25/2017
  • Exemplar-Centered Supervised Shallow Parametric Data Embedding

    IJCAI 2017
    pp. 2749-2485, 2017

    Martin Renqiang Min, Hongyu Guo, Dongjin Song
    08/19/2017