Xiaoran Yan

Orcid: 0000-0003-3481-1832

According to our database1, Xiaoran Yan authored at least 43 papers between 2010 and 2024.

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Bibliography

2024
Horizontal Federated Recommender System: A Survey.
ACM Comput. Surv., September, 2024

FVFL: A Flexible and Verifiable Privacy-Preserving Federated Learning Scheme.
IEEE Internet Things J., July, 2024

Bidirectional Obstacle Avoidance Enhancement-Deep Deterministic Policy Gradient: A Novel Algorithm for Mobile-Robot Path Planning in Unknown Dynamic Environments.
Adv. Intell. Syst., April, 2024

An autoregressive integrated moving average and long short-term memory (ARIM-LSTM) hybrid model for multi-source epidemic data prediction.
PeerJ Comput. Sci., 2024

Fine-grained Knowledge Graph-driven Video-Language Learning for Action Recognition.
CoRR, 2024

Hierarchical Action Recognition: A Contrastive Video-Language Approach with Hierarchical Interactions.
CoRR, 2024

Vertical Federated Learning Hybrid Local Pre-training.
CoRR, 2024

Flexible Graph Neural Diffusion with Latent Class Representation Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Enhancing Human Action Recognition with Fine-grained Body Movement Attention.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Video-Language Graph Convolutional Network for Human Action Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

Position-Aware Active Learning for Multi-Modal Entity Alignment.
Proceedings of the IEEE International Conference on Acoustics, 2024

AdaFL: Adaptive Client Selection and Dynamic Contribution Evaluation for Efficient Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Point-Correlate Adversarial Transformer for Unsupervised Multivariate Time Series Anomaly Detection.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy.
IEEE Trans. Vis. Comput. Graph., 2023

An Improved Christofides Mechanism for Local Differential Privacy Framework.
CoRR, 2023

Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters.
Proceedings of the ACM Web Conference 2023, 2023

Self-Supervised Teaching and Learning of Representations on Graphs.
Proceedings of the ACM Web Conference 2023, 2023

Investigations on Scientific Literature Meta Information Extraction Using Large Language Models.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

2022
Deep Reinforcement Learning-Based Energy-Efficient Edge Computing for Internet of Vehicles.
IEEE Trans. Ind. Informatics, 2022

2021
Detecting Outlier Patterns With Query-Based Artificially Generated Searching Conditions.
IEEE Trans. Comput. Soc. Syst., 2021

CADRE: A Cloud-Based Data Service for Big Bibliographic Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Precipitation and Temperature Anomalies from MERRA-2 dataset.
Dataset, November, 2020

TBI2Flow: Travel behavioral inertia based long-term taxi passenger flow prediction.
World Wide Web, 2020

CADRE: A Collaborative, Cloud-Based Solution for Big Bibliographic Data Research in Academic Libraries.
Frontiers Big Data, 2020

Efficient network navigation with partial information.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Initial bibliometric investigation of NIH mentored K to R transition.
Proceedings of the Information for a Sustainable World: Addressing Society's Grand Challenges, 2020

2019
A spectrum of routing strategies for brain networks.
PLoS Comput. Biol., 2019

The impact of air transport availability on research collaboration.
Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

2018
Weight Thresholding on Complex Networks.
CoRR, 2018

2017
Graph Filters and the Z-Laplacian.
IEEE J. Sel. Top. Signal Process., 2017

Multi-layer Network Composition Under a Unified Dynamical Process.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

2016
Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators.
PeerJ Comput. Sci., 2016

Network Composition from Multi-layer Data.
CoRR, 2016

Bayesian model selection of stochastic block models.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
The Majority Illusion in Social Networks.
CoRR, 2015

Structural Properties of Ego Networks.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

2014
Oriented and degree-generated block models: generating and inferring communities with inhomogeneous degree distributions.
J. Complex Networks, 2014

The interplay between dynamics and networks: centrality, communities, and cheeger inequality.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Scalable text and link analysis with mixed-topic link models.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Model Selection for Degree-corrected Block Models
CoRR, 2012

2011
Active learning for node classification in assortative and disassortative networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Active Learning for Hidden Attributes in Networks
CoRR, 2010


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