Xiaoran Yan

Orcid: 0000-0003-3481-1832

According to our database1, Xiaoran Yan authored at least 29 papers between 2010 and 2023.

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Bibliography

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
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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