* denotes equal contribution,
# denotes corresponding authors
2023
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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
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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
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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
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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
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Learning Graphon Autoencoders for Generative Graph Modeling
Xu, Hongteng, Zhao, Peilin, Huang, Junzhou, and Luo, Dixin
arXiv 2021
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Learning graphons via structured gromov-wasserstein barycenters
Xu, Hongteng,
Luo, Dixin, Carin, Lawrence, and Zha, Hongyuan
In AAAI 2021
2020
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Learning autoencoders with relational regularization
Xu, Hongteng,
Luo, Dixin, Henao, Ricardo, Shah, Svati, and Carin, Lawrence
In ICML 2020
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Hierarchical optimal transport for robust multi-view learning
Luo, Dixin, Xu, Hongteng, and Carin, Lawrence
In arXiv 2020
2019
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Fused Gromov-Wasserstein Alignment for Hawkes Processes
Luo, Dixin, Xu, Hongteng, and Carin, Lawrence
In arXiv 2019
2018
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Benefits from superposed hawkes processes
Xu, Hongteng,
Luo, Dixin, Chen, Xu, and Carin, Lawrence
In AISTATS 2018
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Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes.
Xu, Hongteng,
Luo, Dixin, and Carin, Lawrence
In IJCAI 2018
2017
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Learning Hawkes processes from short doubly-censored event sequences
Xu, Hongteng,
Luo, Dixin, and Zha, Hongyuan
In ICML 2017
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CASCONet: A Conference dataset
Luo, Dixin, and Lyons, Kelly
arXiv 2017
2016
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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
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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
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Dictionary learning with mutually reinforcing group-graph structures
Xu, Hongteng, Yu, Licheng,
Luo, Dixin, Zha, Hongyuan, and Xu, Yi
In AAAI 2015
2014
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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