publications

2024

  1. An Inverse Partial Optimal Transport Framework for Music-guided Trailer Generation
    Yutong Wang, Sidan Zhu, Hongteng Xu, and Dixin Luo
    In Proceedings of the 32nd ACM International Conference on Multimedia, 2024
  2. Enhancing Multi-modal Contrastive Learning via Optimal Transport-Based Consistent Modality Alignment
    Sidan Zhu, and Dixin Luo
    In Pattern Recognition and Computer Vision: 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part XI, 2024
  3. A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation
    Angxiao Yue, Dixin Luo, and Hongteng Xu
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
  4. Inferring Iterated Function Systems Approximately from Fractal Images
    Haotian Liu, Dixin Luo, and Hongteng Xu
    In 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024, 2024
  5. Generalizable Face Landmarking Guided by Conditional Face Warping
    Jiayi Liang, Haotian Liu, Hongteng Xu, and Dixin Luo
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
  6. Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport Framework
    Haoran Cheng, Dixin Luo, and Hongteng Xu
    2024

2023

  1. Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport
    Yutong Wang, Hongteng Xu, and Dixin Luo
    In Proceedings of the 31st ACM International Conference on Multimedia, 2023
  2. Group Sparse Optimal Transport for Sparse Process Flexibility Design
    Dixin Luo, Tingting Yu, and Hongteng Xu
    In IJCAI, 2023
  3. Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment
    Dixin Luo, Haoran Cheng, Qingbin Li, and Hongteng Xu
    In IJCAI, 2023
  4. Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression
    Yue Xiang, Dixin Luo, and Hongteng Xu
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2023

2022

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

2021

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

2020

  1. Learning autoencoders with relational regularization
    Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, and Lawrence Carin
    In ICML, 2020
  2. Hierarchical optimal transport for robust multi-view learning
    Dixin Luo, Hongteng Xu, and Lawrence Carin
    arXiv preprint arXiv:2006.03160, 2020

2019

  1. Fused Gromov-Wasserstein Alignment for Hawkes Processes
    Dixin Luo, Hongteng Xu, and Lawrence Carin
    In arXiv, 2019
  2. Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes
    Dixin Luo, Hongteng Xu, and Lawrence Carin
    2019
  3. Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms
    Dixin Luo, Hongteng Xu, and Lawrence Carin
    2019
  4. Gromov-Wasserstein learning for graph matching and node embedding
    Hongteng Xu, Dixin Luo, Hongyuan Zha, and Lawrence Carin Duke
    In International conference on machine learning, 2019
  5. Scalable Gromov-Wasserstein learning for graph partitioning and matching
    Hongteng Xu, Dixin Luo, and Lawrence Carin
    Advances in neural information processing systems, 2019

2018

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

2017

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

2016

  1. Data-driven knowledge mobilization
    Kelly Lyons, Eleni Stroulia, Dixin Luo, Renee Miller, and Vio Onut
    In Proceedings of the 26th Annual International Conference on Computer Science and Software Engineering, 2016
  2. Learning mixtures of Markov chains from aggregate data with structural constraints
    Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, and Wenjun Zhang
    IEEE Transactions on Knowledge and Data Engineering, 2016

2015

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

2014

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

2013

  1. World expo problem and its mixed integer programming-based solution
    Hongteng Xu, Dixin Luo, Xiaoming Huo, and Xiaokang Yang
    In Behavior and Social Computing: International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers, 2013

2012

  1. Model-Based Robust Prediction of Cumulative Participant Curve in Large-Scale Events
    Dixin Luo, Rong Xie, Jia Wang, and Wenjun Zhang
    In Advances on Digital Television and Wireless Multimedia Communications: 9th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2012, Shanghai, China, November 9-10, 2012. Proceedings, 2012