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Dixin Luo 罗迪新
Dixin Luo 罗迪新
Assistant Professor, Beijing Institute of Technology
Bestätigte E-Mail-Adresse bei bit.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Gromov-wasserstein learning for graph matching and node embedding
H Xu, D Luo, H Zha, LC Duke
International conference on machine learning, 6932-6941, 2019
2962019
Scalable Gromov-Wasserstein learning for graph partitioning and matching
H Xu, D Luo, L Carin
Advances in neural information processing systems 32, 2019
2202019
Learning Hawkes processes from short doubly-censored event sequences
H Xu, D Luo, H Zha
International Conference on Machine Learning, 3831-3840, 2017
802017
Multi-task multi-dimensional hawkes processes for modeling event sequences
D Luo, H Xu, Y Zhen, X Ning, H Zha, X Yang, W Zhang
ACM, 2015
802015
Learning autoencoders with relational regularization
H Xu, D Luo, R Henao, S Shah, L Carin
International Conference on Machine Learning, 10576-10586, 2020
532020
You are what you watch and when you watch: Inferring household structures from IPTV viewing data
D Luo, H Xu, H Zha, J Du, R Xie, X Yang, W Zhang
IEEE Transactions on Broadcasting 60 (1), 61-72, 2014
442014
Learning graphons via structured gromov-wasserstein barycenters
H Xu, D Luo, L Carin, H Zha
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10505 …, 2021
292021
Benefits from superposed hawkes processes
H Xu, D Luo, X Chen, L Carin
International Conference on Artificial Intelligence and Statistics, 623-631, 2018
262018
Representing graphs via Gromov-Wasserstein factorization
H Xu, J Liu, D Luo, L Carin
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 999-1016, 2022
182022
Learning mixtures of markov chains from aggregate data with structural constraints
D Luo, H Xu, Y Zhen, B Dilkina, H Zha, X Yang, W Zhang
IEEE Transactions on Knowledge and Data Engineering 28 (6), 1518-1531, 2016
182016
灰色风险型多属性群决策方法
罗党， 周玲， 罗迪新
系统工程与电子技术 30 (9), 1674-1678, 2008
172008
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes.
H Xu, D Luo, L Carin
IJCAI, 2905-2911, 2018
132018
Differentiable hierarchical optimal transport for robust multi-view learning
D Luo, H Xu, L Carin
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7293-7307, 2022
102022
Weakly-supervised temporal action alignment driven by unbalanced spectral fused Gromov-Wasserstein distance
D Luo, Y Wang, A Yue, H Xu
Proceedings of the 30th ACM International Conference on Multimedia, 728-739, 2022
82022
Dictionary learning with mutually reinforcing group-graph structures
H Xu, L Yu, D Luo, H Zha, Y Xu
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
82015
Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport
Y Wang, H Xu, D Luo
Proceedings of the 31st ACM International Conference on Multimedia, 6611-6622, 2023
52023
Hierarchical optimal transport for robust multi-view learning
D Luo, H Xu, L Carin
arXiv preprint arXiv:2006.03160, 2020
52020
Fused gromov-wasserstein alignment for hawkes processes
D Luo, H Xu, L Carin
arXiv preprint arXiv:1910.02096, 2019
52019
Learning graphon autoencoders for generative graph modeling
H Xu, P Zhao, J Huang, D Luo
arXiv preprint arXiv:2105.14244, 2021
42021
CASCONet: A Conference dataset
D Luo, K Lyons
arXiv preprint arXiv:1706.09485, 2017
42017
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