Grey multi-attribute decision-making method based on two-phase optimization. - Dang Luo; Dixin Luo; Naiming Xie; Jianling Wang (SMC, 2008)

Research on grey risk decision-making method based on priority index. - Dang Luo; Dixin Luo; Yi Zhang; Yuhui Qin (SMC, 2008)

Model-Based Robust Prediction of Cumulative Participant Curve in Large-Scale Events. - Dixin Luo; Rong Xie; Jia Wang 004; Wenjun Zhang 001 (IFTC, 2012)

World Expo Problem and Its Mixed Integer Programming Based Solution. - Hongteng Xu; Dixin Luo; Xiaoming Huo; Xiaokang Yang 001 (BSI@PAKDD/BSIC@IJCAI, 2013)

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 001; Wenjun Zhang 001 (IEEE Trans. Broadcast., 2014)

Dictionary Learning with Mutually Reinforcing Group-Graph Structures. - Hongteng Xu; Licheng Yu; Dixin Luo; Hongyuan Zha; Yi Xu 001 (AAAI, 2015)

Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences. - Dixin Luo; Hongteng Xu; Yi Zhen; Xia Ning; Hongyuan Zha; Xiaokang Yang 001; Wenjun Zhang 001 (IJCAI, 2015)

Data-driven knowledge mobilization. - Kelly A. Lyons; Eleni Stroulia; Dixin Luo; Renée J. Miller; Vio Onut (CASCON, 2016)

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints. - Dixin Luo; Hongteng Xu; Yi Zhen; Bistra Dilkina; Hongyuan Zha; Xiaokang Yang 001; Wenjun Zhang 001 (IEEE Trans. Knowl. Data Eng., 2016)

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). - Dixin Luo; Hongteng Xu; Yi Zhen; Bistra Dilkina; Hongyuan Zha; Xiaokang Yang 001; Wenjun Zhang 001 (ICDE, 2017)

Learning Hawkes Processes from Short Doubly-Censored Event Sequences. - Hongteng Xu; Dixin Luo; Hongyuan Zha (ICML, 2017)

CASCONet: A Conference dataset. - Dixin Luo; Kelly A. Lyons (CoRR, 2017)

Benefits from Superposed Hawkes Processes. - Hongteng Xu; Dixin Luo; Xu Chen 017; Lawrence Carin (AISTATS, 2018)

Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. - Hongteng Xu; Dixin Luo; Lawrence Carin (IJCAI, 2018)

Gromov-Wasserstein Learning for Graph Matching and Node Embedding. - Hongteng Xu; Dixin Luo; Hongyuan Zha; Lawrence Carin (ICML, 2019)

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. - Hongteng Xu; Dixin Luo; Lawrence Carin (NeurIPS, 2019)

Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms. - Dixin Luo; Hongteng Xu; Lawrence Carin (CoRR, 2019)

Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes. - Dixin Luo; Hongteng Xu; Lawrence Carin (CoRR, 2019)

Fused Gromov-Wasserstein Alignment for Hawkes Processes. - Dixin Luo; Hongteng Xu; Lawrence Carin (CoRR, 2019)

Learning Autoencoders with Relational Regularization. - Hongteng Xu; Dixin Luo; Ricardo Henao; Svati Shah; Lawrence Carin (ICML, 2020)

Hierarchical Optimal Transport for Robust Multi-View Learning. - Dixin Luo; Hongteng Xu; Lawrence Carin (CoRR, 2020)

Learning Graphons via Structured Gromov-Wasserstein Barycenters. - Hongteng Xu; Dixin Luo; Lawrence Carin; Hongyuan Zha (AAAI, 2021)

Hawkes Processes on Graphons. - Hongteng Xu; Dixin Luo; Hongyuan Zha (CoRR, 2021)

Learning Graphon Autoencoders for Generative Graph Modeling. - Hongteng Xu; Peilin Zhao; Junzhou Huang; Dixin Luo (CoRR, 2021)

Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance. - Dixin Luo; Yutong Wang; Angxiao Yue; Hongteng Xu (ACM Multimedia, 2022)

Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression. - Yue Xiang; Dixin Luo; Hongteng Xu (AAAI, 2023)

Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment. - Dixin Luo; Haoran Cheng; Qingbin Li; Hongteng Xu (IJCAI, 2023)

Group Sparse Optimal Transport for Sparse Process Flexibility Design. - Dixin Luo; Tingting Yu; Hongteng Xu (IJCAI, 2023)

Self-supervised Video Summarization Guided by Semantic Inverse Optimal Transport. - Yutong Wang; Hongteng Xu; Dixin Luo (ACM Multimedia, 2023)

DHOT-GM: Robust Graph Matching Using A Differentiable Hierarchical Optimal Transport Framework. - Haoran Cheng; Dixin Luo; Hongteng Xu (CoRR, 2023)

Representing Graphs via Gromov-Wasserstein Factorization. - Hongteng Xu; Jiachang Liu 001; Dixin Luo; Lawrence Carin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning. - Dixin Luo; Hongteng Xu; Lawrence Carin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation. - Angxiao Yue; Dixin Luo; Hongteng Xu (AAAI, 2024)

Generalizable Face Landmarking Guided by Conditional Face Warping. - Jiayi Liang; Haotian Liu; Hongteng Xu; Dixin Luo (CVPR, 2024)

Inferring Iterated Function Systems Approximately from Fractal Images. - Haotian Liu; Dixin Luo; Hongteng Xu (IJCAI, 2024)

An Inverse Partial Optimal Transport Framework for Music-guided Trailer Generation. - Yutong Wang; Sidan Zhu; Hongteng Xu; Dixin Luo (ACM Multimedia, 2024)

Enhancing Multi-modal Contrastive Learning via Optimal Transport-Based Consistent Modality Alignment. - Sidan Zhu; Dixin Luo (PRCV (11), 2024)

An Inverse Partial Optimal Transport Framework for Music-guided Movie Trailer Generation. - Yutong Wang; Sidan Zhu; Hongteng Xu; Dixin Luo (CoRR, 2024)

WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization. - Minjie Cheng; Dixin Luo; Hongteng Xu (AAAI, 2025)

Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency. - Yutong Wang; Jiajie Teng; Jiajiong Cao; Yuming Li; Chenguang Ma; Hongteng Xu; Dixin Luo (CVPR, 2025)

Inferring Directed Acyclic Graphs from Event Sequences via Learning Gromov-Wasserstein-Regularized Hawkes Processes. - Haoran Cheng; Dixin Luo (WWW (Companion Volume), 2025)