Xiao Luo

Orcid: 0000-0002-7987-3714

Affiliations:

University of California Los Angeles, Department of Computer Science, CA, USA
Peking University, Beijing, China

According to our database¹, Xiao Luo authored at least 74 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

HARR: Learning Discriminative and High-Quality Hash Codes for Image Retrieval.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., May, 2024

DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

A Diffusion Model for POI Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., March, 2024

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2024

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Towards Semi-Supervised Universal Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2024

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2024

Fast Inference of Removal-Based Node Influence.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.

[BibT_eX]

[DOI]

CoRR, 2024

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

An Evaluation of Large Language Models in Bioinformatics Research.

[BibT_eX]

[DOI]

Hengchuang Yin

Zhonghui Gu

Fanhao Wang

Yiparemu Abuduhaibaier

CoRR, 2024

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.

[BibT_eX]

[DOI]

CoRR, 2024

LION: Implicit Vision Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

OMG: Towards Effective Graph Classification Against Label Noise.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, December, 2023

A Survey on Deep Hashing Methods.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2023

Unsupervised graph-level representation learning with hierarchical contrasts.

[BibT_eX]

[DOI]

Neural Networks, January, 2023

Toward Effective Domain Adaptive Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.

[BibT_eX]

[DOI]

Neural Networks, 2023

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.

[BibT_eX]

[DOI]

CoRR, 2023

TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.

[BibT_eX]

[DOI]

CoRR, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2023

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Mode Approximation Makes Good Multimodal Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Graph ODE for Continuous-Time Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

LION: Implicit Vision Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

DANCE: Learning A Domain Adaptive Framework for Deep Hashing.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Parameter-efficient Tuning of Large-scale Multimodal Foundation Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Semi-supervised Domain Adaptation in Graph Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

HOPE: High-order Graph ODE For Modeling Interacting Dynamics.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning on Graphs under Label Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

GLCC: A General Framework for Graph-Level Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.

[BibT_eX]

[DOI]

Neural Networks, 2022

DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

HEART: Towards Effective Hash Codes under Label Noise.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improved Deep Unsupervised Hashing via Prototypical Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Pursuing Knowledge Consistency: Supervised Hierarchical Contrastive Learning for Facial Action Unit Recognition.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Adaptive Harmony Learning and Optimization for Attributed Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TGNN: A Joint Semi-supervised Framework for Graph-level Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Kernel-based Substructure Exploration for Next POI Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Dynamic Hypergraph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Attention-based Adversarial Partial Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ARGO: Modeling Heterogeneity in E-commerce Recommendation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

CIMON: Towards High-quality Hash Codes.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Concordant Contrastive Learning for Semi-supervised Node Classification on Graph.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Supervised Hashing by Classification for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes.

[BibT_eX]

[DOI]

Tao Li

Xiao Luo

Jinwen Ma

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Unsupervised Hashing by Global and Local Consistency.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Unsupervised Hashing by Distilled Smooth Guidance.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

DNA-GCN: Graph Convolutional Networks for Predicting DNA-Protein Binding.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2021

Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

CIMON: Towards High-quality Hash Codes.

[BibT_eX]

[DOI]

CoRR, 2020

A Survey on Deep Hashing Methods.

[BibT_eX]

[DOI]

CoRR, 2020

Expectation pooling: an effective and interpretable pooling method for predicting DNA-protein binding.

[BibT_eX]

[DOI]

Bioinform., 2020

Xiao Luo

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