Dixin Luo

Orcid: 0000-0003-1136-8903

According to our database1, Dixin Luo authored at least 38 papers between 2008 and 2024.

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Bibliography

2024
An Inverse Partial Optimal Transport Framework for Music-guided Movie Trailer Generation.
CoRR, 2024

Enhancing Multi-modal Contrastive Learning via Optimal Transport-Based Consistent Modality Alignment.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

An Inverse Partial Optimal Transport Framework for Music-guided Trailer Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Inferring Iterated Function Systems Approximately from Fractal Images.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Generalizable Face Landmarking Guided by Conditional Face Warping.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Representing Graphs via Gromov-Wasserstein Factorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

DHOT-GM: Robust Graph Matching Using A Differentiable Hierarchical Optimal Transport Framework.
CoRR, 2023

Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Group Sparse Optimal Transport for Sparse Process Flexibility Design.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Learning Graphon Autoencoders for Generative Graph Modeling.
CoRR, 2021

Hawkes Processes on Graphons.
CoRR, 2021

Learning Graphons via Structured Gromov-Wasserstein Barycenters.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hierarchical Optimal Transport for Robust Multi-View Learning.
CoRR, 2020

Learning Autoencoders with Relational Regularization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Fused Gromov-Wasserstein Alignment for Hawkes Processes.
CoRR, 2019

Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes.
CoRR, 2019

Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms.
CoRR, 2019

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Gromov-Wasserstein Learning for Graph Matching and Node Embedding.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Benefits from Superposed Hawkes Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
CASCONet: A Conference dataset.
CoRR, 2017

Learning Hawkes Processes from Short Doubly-Censored Event Sequences.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract).
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints.
IEEE Trans. Knowl. Data Eng., 2016

Data-driven knowledge mobilization.
Proceedings of the 26th Annual International Conference on Computer Science and Software Engineering, 2016

2015
Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Dictionary Learning with Mutually Reinforcing Group-Graph Structures.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data.
IEEE Trans. Broadcast., 2014

2013
World Expo Problem and Its Mixed Integer Programming Based Solution.
Proceedings of the Behavior and Social Computing, 2013

2012
Model-Based Robust Prediction of Cumulative Participant Curve in Large-Scale Events.
Proceedings of the Advances on Digital Television and Wireless Multimedia Communications, 2012

2008
Research on grey risk decision-making method based on priority index.
Proceedings of the IEEE International Conference on Systems, 2008

Grey multi-attribute decision-making method based on two-phase optimization.
Proceedings of the IEEE International Conference on Systems, 2008


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