Sen Pei

Orcid: 0000-0002-7072-2995

According to our database¹, Sen Pei authored at least 35 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

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Links

On csauthors.net:

Bibliography

2024

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark.

[BibT_eX]

[DOI]

Sen Pei

Shixiong Xu

Xiaojie Jin

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

2023

Inference of transmission dynamics and retrospective forecast of invasive meningococcal disease.

[BibT_eX]

[DOI]

PLoS Comput. Biol., October, 2023

Ensemble inference of unobserved infections in networks using partial observations.

[BibT_eX]

[DOI]

Renquan Zhang

Jilei Tai

Sen Pei

PLoS Comput. Biol., 2023

End-to-End Out-of-distribution Detection with Self-supervised Sampling.

[BibT_eX]

[DOI]

CoRR, 2023

Influence Maximization based on Simplicial Contagion Model in Hypergraph.

[BibT_eX]

[DOI]

Renquan Zhang

Ting Wei

Sen Pei

CoRR, 2023

Influence Maximization based on Threshold Model in Hypergraph.

[BibT_eX]

[DOI]

Renquan Zhang

Xilong Qu

Sen Pei

CoRR, 2023

AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editing.

[BibT_eX]

[DOI]

CoRR, 2023

DPCIPI: A pre-trained deep learning model for estimation of cross-immunity between drifted strains of Influenza A/H3N2.

[BibT_eX]

[DOI]

CoRR, 2023

epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.

[BibT_eX]

[DOI]

Marie-Laure Charpignon

Anil Vullikanti

B. Aditya Prakash

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

Domain Decorrelation with Potential Energy Ranking.

[BibT_eX]

[DOI]

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

2022

Epidemic management and control through risk-dependent individual contact interventions.

[BibT_eX]

[DOI]

Alfredo Garbuno-Inigo

Gregory LeClaire Wagner

PLoS Comput. Biol., 2022

An ensemble forecast system for tracking dynamics of dengue outbreaks and its validation in China.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2022

Characterizing human collective behaviours of COVID-19 in Hong Kong.

[BibT_eX]

[DOI]

CoRR, 2022

Global Prototype Encoding for Incremental Video Highlights Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Domain Decorrelation with Potential Energy Ranking.

[BibT_eX]

[DOI]

CoRR, 2022

Gradient Concealment: Free Lunch for Defending Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2022

epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.

[BibT_eX]

[DOI]

Marie-Laure Charpignon

Anil Vullikanti

B. Aditya Prakash

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Out-of-distribution Detection with Boundary Aware Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

2021

StoCast: Stochastic Disease Forecasting With Progression Uncertainty.

[BibT_eX]

[DOI]

Xian Teng

Sen Pei

Yu-Ru Lin

IEEE J. Biomed. Health Informatics, 2021

GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples.

[BibT_eX]

[DOI]

CoRR, 2021

Alleviating Mode Collapse in GAN via Diversity Penalty Module.

[BibT_eX]

[DOI]

CoRR, 2021

The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021).

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illness.

[BibT_eX]

[DOI]

Sen Pei

Jeffrey Shaman

PLoS Comput. Biol., 2020

Forecasting influenza in Europe using a metapopulation model incorporating cross-border commuting and air travel.

[BibT_eX]

[DOI]

Sarah C. Kramer

Sen Pei

Jeffrey Shaman

PLoS Comput. Biol., 2020

Influencer identification in dynamical complex systems.

[BibT_eX]

[DOI]

J. Complex Networks, 2020

2019

Predictability in process-based ensemble forecast of influenza.

[BibT_eX]

[DOI]

Sen Pei

Mark A. Cane

Jeffrey Shaman

PLoS Comput. Biol., 2019

2017

Theories for influencer identification in complex networks.

[BibT_eX]

[DOI]

Sen Pei

Flaviano Morone

Hernán A. Makse

CoRR, 2017

2016

Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Collective influence maximization in threshold models of information cascading with first-order transitions.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Identification of highly susceptible individuals in complex networks.

[BibT_eX]

[DOI]

CoRR, 2015

Detecting the Influence of Spreading in Social Networks with Excitable Sensor Networks.

[BibT_eX]

[DOI]

Sen Pei

Shaoting Tang

Zhiming Zheng

CoRR, 2015

Exploring the complex pattern of information spreading in online blog communities.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Searching for superspreaders of information in real-world social media.

[BibT_eX]

[DOI]

CoRR, 2014

2013

Origins of power-law degree distribution in the heterogeneity of human activity in social networks

[BibT_eX]

[DOI]

CoRR, 2013

Spreading dynamics in complex networks.

[BibT_eX]

[DOI]

Sen Pei

Hernán A. Makse

CoRR, 2013

Sen Pei

Timeline

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On csauthors.net:

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