Dixin Luo 罗迪新
Dixin Luo 罗迪新
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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
Learning Hawkes processes from short doubly-censored event sequences
H Xu, D Luo, H Zha
arXiv preprint arXiv:1702.07013, 2017
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
Gromov-wasserstein learning for graph matching and node embedding
H Xu, D Luo, H Zha, L Carin
arXiv preprint arXiv:1901.06003, 2019
罗党, 周玲, 罗迪新
系統工程與電子技術 30 (9), 1674-1678, 2008
Scalable Gromov-Wasserstein learning for graph partitioning and matching
H Xu, D Luo, L Carin
Advances in neural information processing systems, 3052-3062, 2019
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
Benefits from superposed hawkes processes
H Xu, D Luo, X Chen, L Carin
International Conference on Artificial Intelligence and Statistics, 623-631, 2018
Dictionary learning with mutually reinforcing group-graph structures
H Xu, L Yu, D Luo, H Zha, Y Xu
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
CASCONet: A Conference dataset
D Luo, K Lyons
arXiv preprint arXiv:1706.09485, 2017
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes.
H Xu, D Luo, L Carin
IJCAI, 2905-2911, 2018
Learning autoencoders with relational regularization
H Xu, D Luo, R Henao, S Shah, L Carin
arXiv preprint arXiv:2002.02913, 2020
Fused Gromov-Wasserstein Alignment for Hawkes Processes
D Luo, H Xu, L Carin
arXiv preprint arXiv:1910.02096, 2019
Interpretable ICD Code Embeddings with Self-and Mutual-Attention Mechanisms
D Luo, H Xu, L Carin
arXiv preprint arXiv:1906.05492, 2019
World expo problem and its mixed integer programming based solution
H Xu, D Luo, X Huo, X Yang
Behavior and Social Computing, 56-67, 2013
Model-Based Robust Prediction of Cumulative Participant Curve in Large-Scale Events
D Luo, R Xie, J Wang, W Zhang
Advances on Digital Television and Wireless Multimedia Communications, 390-395, 2012
Hierarchical Optimal Transport for Robust Multi-View Learning
D Luo, H Xu, L Carin
arXiv preprint arXiv:2006.03160, 2020
Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes
D Luo, H Xu, L Carin
arXiv preprint arXiv:1906.08397, 2019
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