publications

* denotes equal contribution, # denotes corresponding authors

2023

  1. AAAI
    Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression
    Xiang, Yue,  Luo, Dixin, and Xu, Hongteng
    In Proceedings of the AAAI Conference on Artificial Intelligence 2023

2022

  1. PAMI
    Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning
    Luo, Dixin, Xu, Hongteng, and Carin, Lawrence
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2022
  2. ACMMM
    Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance
    Luo, Dixin, Wang, Yutong, Yue, Angxiao, and Xu, Hongteng
    In Proceedings of the 30th ACM International Conference on Multimedia 2022
  3. PAMI
    Representing graphs via Gromov-Wasserstein factorization
    Xu, Hongteng, Liu, Jiachang,  Luo, Dixin, and Carin, Lawrence
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2022

2021

  1. arXiv
    Learning Graphon Autoencoders for Generative Graph Modeling
    Xu, Hongteng, Zhao, Peilin, Huang, Junzhou, and Luo, Dixin
    arXiv 2021
  2. AAAI
    Learning graphons via structured gromov-wasserstein barycenters
    Xu, Hongteng,  Luo, Dixin, Carin, Lawrence, and Zha, Hongyuan
    In AAAI 2021

2020

  1. ICML
    Learning autoencoders with relational regularization
    Xu, Hongteng,  Luo, Dixin, Henao, Ricardo, Shah, Svati, and Carin, Lawrence
    In ICML 2020
  2. arXiv
    Hierarchical optimal transport for robust multi-view learning
    Luo, Dixin, Xu, Hongteng, and Carin, Lawrence
    In arXiv 2020

2019

  1. arXiv
    Fused Gromov-Wasserstein Alignment for Hawkes Processes
    Luo, Dixin, Xu, Hongteng, and Carin, Lawrence
    In arXiv 2019

2018

  1. AISTATS
    Benefits from superposed hawkes processes
    Xu, Hongteng,  Luo, Dixin, Chen, Xu, and Carin, Lawrence
    In AISTATS 2018
  2. IJCAI
    Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes.
    Xu, Hongteng,  Luo, Dixin, and Carin, Lawrence
    In IJCAI 2018

2017

  1. ICML
    Learning Hawkes processes from short doubly-censored event sequences
    Xu, Hongteng,  Luo, Dixin, and Zha, Hongyuan
    In ICML 2017
  2. arXiv
    CASCONet: A Conference dataset
    Luo, Dixin, and Lyons, Kelly
    arXiv 2017

2016

  1. TKDE
    Learning mixtures of markov chains from aggregate data with structural constraints
    Luo, Dixin, Xu, Hongteng, Zhen, Yi, Dilkina, Bistra, Zha, Hongyuan, Yang, Xiaokang, and Zhang, Wenjun
    IEEE Transactions on Knowledge and Data Engineering 2016

2015

  1. IJCAI
    Multi-task multi-dimensional hawkes processes for modeling event sequences
    Luo, Dixin, Xu, Hongteng, Zhen, Yi, Ning, Xia, Zha, Hongyuan, Yang, Xiaokang, and Zhang, Wenjun
    In IJCAI 2015
  2. AAAI
    Dictionary learning with mutually reinforcing group-graph structures
    Xu, Hongteng, Yu, Licheng,  Luo, Dixin, Zha, Hongyuan, and Xu, Yi
    In AAAI 2015

2014

  1. TB
    You are what you watch and when you watch: Inferring household structures from IPTV viewing data
    Luo, Dixin, Xu, Hongteng, Zha, Hongyuan, Du, Jun, Xie, Rong, Yang, Xiaokang, and Zhang, Wenjun
    IEEE Transactions on Broadcasting 2014

2013