Xinran He

Orcid: 0000-0002-6812-518X

According to our database1, Xinran He authored at least 26 papers between 2011 and 2023.

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Bibliography

2023
Lifting Model-Based Interval Analysis for DC Power Flow in Presence of Uncertain Network Reactance and Power Injections.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023

2022
Friend Story Ranking with Edge-Contextual Local Graph Convolutions.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Stochastic Unit Commitment Model Considering the Impact of Carbon Emissions Trading.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

2021
Modeling the Relationship of ≥2 MeV Electron Fluxes at Different Longitudes in Geostationary Orbit by the Machine Learning Method.
Remote. Sens., 2021

Network Inference from a Mixture of Diffusion Models for Fake News Mitigation.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2018
Stability and Robustness in Influence Maximization.
ACM Trans. Knowl. Discov. Data, 2018

DynGEM: Deep Embedding Method for Dynamic Graphs.
CoRR, 2018

mvn2vec: Preservation and Collaboration in Multi-View Network Embedding.
CoRR, 2018

Inferring diffusion networks with life stage heterogeneity.
Sci. China Inf. Sci., 2018

2017
Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach.
IEEE Trans. Knowl. Data Eng., 2017

Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016
Understanding Diffusion Processes: Inference and Theory.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Learning Influence Functions from Incomplete Observations.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Robust Influence Maximization.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
GLAD: Group Anomaly Detection in Social Media Analysis.
ACM Trans. Knowl. Discov. Data, 2015

Learning and Optimization with Submodular Functions.
CoRR, 2015

On Influential Nodes Tracking in Dynamic Social Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Model Selection for Topic Models via Spectral Decomposition.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract.
CoRR, 2014

Analyzing the Number of Latent Topics via Spectral Decomposition.
CoRR, 2014

Practical Lessons from Predicting Clicks on Ads at Facebook.
Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, 2014

Stability of influence maximization.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Price of Anarchy for the N-Player Competitive Cascade Game with Submodular Activation Functions.
Proceedings of the Web and Internet Economics - 9th International Conference, 2013

2012
Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2011
Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model Technical Report
CoRR, 2011


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