Sen Pei

According to our database, Sen Pei authored at least 40 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Challenges of COVID-19 Case Forecasting in the US, 2020-2021.

Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson

PLoS Comput. Biol., 2024

Patient flow networks absorb healthcare stress during pandemic crises.

Lu Zhong, Sen Pei, Jianxi Gao

CoRR, 2024

Healthcare system resilience and adaptability to pandemic disruptions in the United States.

Lu Zhong, Dimitri Lopez, Sen Pei, Jianxi Gao

CoRR, 2024

epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.

Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Image Background Serves as Good Proxy for Out-of-distribution Data.

Sen Pei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark.

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.

Jaime Cascante-Vega, Marta Galanti, Katharina Schley, Sen Pei, Jeffrey Shaman

PLoS Comput. Biol., October, 2023

Ensemble inference of unobserved infections in networks using partial observations.

Renquan Zhang, Jilei Tai, Sen Pei

PLoS Comput. Biol., 2023

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

Sen Pei, Jiaxi Sun, Peng Qin, Qi Chen, Xinglong Wu, Xun Wang

CoRR, 2023

Influence Maximization based on Simplicial Contagion Model in Hypergraph.

Renquan Zhang, Ting Wei, Sen Pei

CoRR, 2023

Influence Maximization based on Threshold Model in Hypergraph.

Renquan Zhang, Xilong Qu, Sen Pei

CoRR, 2023

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

Sen Pei, Jingya Yu, Qi Chen, Wozhou He

CoRR, 2023

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

Yiming Du, Zhuotian Li, Qian He, Thomas Wetere Tulu, Kei Hang Katie Chan, Lin Wang, Sen Pei, Xiao-Ke Xu, Xiao Fan Liu

CoRR, 2023

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

Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, 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.

Sen Pei, Jiaxi Sun, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng

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

2022

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

Tapio Schneider, Oliver R. A. Dunbar, Jinlong Wu, Lucas Böttcher, Dmitry Burov, Alfredo Garbuno-Inigo, Gregory LeClaire Wagner, Sen Pei, Chiara Daraio, Raffaele Ferrari, Jeffrey Shaman

PLoS Comput. Biol., 2022

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

Yuliang Chen, Tao Liu, Xiaolin Yu, Qinghui Zeng, Zixi Cai, Haisheng Wu, Qingying Zhang, Jianpeng Xiao, Wenjun Ma, Sen Pei, Pi Guo

PLoS Comput. Biol., 2022

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

Zhanwei Du, Xiao Zhang, Lin Wang, Sidan Yao, Yuan Bai, Qi Tan, Xiaoke Xu, Sen Pei, Jingyi Xiao, Tim K. Tsang, Qiuyan Liao, Eric H. Y. Lau, Peng Wu, Chao Gao, Benjamin J. Cowling

CoRR, 2022

Global Prototype Encoding for Incremental Video Highlights Detection.

Sen Pei, Shixiong Xu, Ye Yuan, Xiaojie Jin

CoRR, 2022

Domain Decorrelation with Potential Energy Ranking.

Sen Pei, Jiaxi Sun, Shiming Xiang, Gaofeng Meng

CoRR, 2022

Gradient Concealment: Free Lunch for Defending Adversarial Attacks.

Sen Pei, Jiaxi Sun, Xiaopeng Zhang, Gaofeng Meng

CoRR, 2022

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

Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, 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.

Sen Pei, Xin Zhang, Bin Fan, Gaofeng Meng

Proceedings of the Computer Vision, 2022

2021

StoCast: Stochastic Disease Forecasting With Progression Uncertainty.

Xian Teng, Sen Pei, Yu-Ru Lin

IEEE J. Biomed. Health Informatics, 2021

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

Sen Pei, Xin Zhang, Richard Yida Xu, Gaofeng Meng

CoRR, 2021

Alleviating Mode Collapse in GAN via Diversity Penalty Module.

Sen Pei, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng

CoRR, 2021

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

Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash

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.

Sen Pei, Jeffrey Shaman

PLoS Comput. Biol., 2020

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

Sarah C. Kramer, Sen Pei, Jeffrey Shaman

PLoS Comput. Biol., 2020

Influencer identification in dynamical complex systems.

Sen Pei, Jiannan Wang, Flaviano Morone, Hernán A. Makse

J. Complex Networks, 2020

2019

Predictability in process-based ensemble forecast of influenza.

Sen Pei, Mark A. Cane, Jeffrey Shaman

PLoS Comput. Biol., 2019

2017

Theories for influencer identification in complex networks.

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.

Xian Teng, Sen Pei, Flaviano Morone, Hernán A. Makse

CoRR, 2016

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

Sen Pei, Xian Teng, Jeffrey Shaman, Flaviano Morone, Hernán A. Makse

CoRR, 2016

2015

Identification of highly susceptible individuals in complex networks.

Shaoting Tang, Xian Teng, Sen Pei, Shu Yan, Zhiming Zheng

CoRR, 2015

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

Sen Pei, Shaoting Tang, Zhiming Zheng

CoRR, 2015

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

Sen Pei, Lev Muchnik, Shaoting Tang, Zhiming Zheng, Hernán A. Makse

CoRR, 2015

2014

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

Sen Pei, Lev Muchnik, José S. Andrade Jr., Zhiming Zheng, Hernán A. Makse

CoRR, 2014

2013

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

Lev Muchnik, Sen Pei, Lucas C. Parra, Saulo D. S. Reis, José S. Andrade Jr., Shlomo Havlin, Hernán A. Makse

CoRR, 2013

Spreading dynamics in complex networks.

Sen Pei, Hernán A. Makse

CoRR, 2013