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2020 – today
- 2024
[j10]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:
Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS Comput. Biol. 20(5): 1011200 (2024)- [c8]Sen Pei, Shixiong Xu, Xiaojie Jin:
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark. AAAI 2024: 10155-10163 - [c7]Sen Pei:
Image Background Serves as Good Proxy for Out-of-distribution Data. ICLR 2024 - [c6]Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash:
epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2024: 6735-6736 - [i24]Lu Zhong, Dimitri Lopez, Sen Pei, Jianxi Gao:
Healthcare system resilience and adaptability to pandemic disruptions in the United States. CoRR abs/2409.01454 (2024) - [i23]Lu Zhong, Sen Pei, Jianxi Gao:
Patient flow networks absorb healthcare stress during pandemic crises. CoRR abs/2410.06031 (2024) - 2023
- [j9]Renquan Zhang, Jilei Tai, Sen Pei:
Ensemble inference of unobserved infections in networks using partial observations. PLoS Comput. Biol. 19(8) (2023) - [j8]Jaime Cascante-Vega, Marta Galanti, Katharina Schley, Sen Pei, Jeffrey Shaman:
Inference of transmission dynamics and retrospective forecast of invasive meningococcal disease. PLoS Comput. Biol. 19(10) (2023) - [c5]Sen Pei, Jiaxi Sun, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng:
Domain Decorrelation with Potential Energy Ranking. AAAI 2023: 2020-2028 - [c4]Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash:
epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2023: 5847-5848 - [i22]Yiming Du, Zhuotian Li, Qian He, Thomas Wetere Tulu, Kei Hang Katie Chan, Lin Wang, Sen Pei, Xiao-Ke Xu, Xiao Fan Liu:
DPCIPI: A pre-trained deep learning model for estimation of cross-immunity between drifted strains of Influenza A/H3N2. CoRR abs/2302.00926 (2023) - [i21]Sen Pei, Jingya Yu, Qi Chen, Wozhou He:
AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editing. CoRR abs/2303.01884 (2023) - [i20]Renquan Zhang, Xilong Qu, Sen Pei:
Influence Maximization based on Threshold Model in Hypergraph. CoRR abs/2306.13458 (2023) - [i19]Renquan Zhang, Ting Wei, Sen Pei:
Influence Maximization based on Simplicial Contagion Model in Hypergraph. CoRR abs/2306.16773 (2023) - [i18]Sen Pei, Jiaxi Sun, Peng Qin, Qi Chen, Xinglong Wu, Xun Wang:
End-to-End Out-of-distribution Detection with Self-supervised Sampling. CoRR abs/2307.00519 (2023) - 2022
- [j7]Yuliang Chen, Tao Liu, Xiaolin Yu, Qinghui Zeng, Zixi Cai, Haisheng Wu, Qingying Zhang, Jianpeng Xiao, Wenjun Ma, Sen Pei, Pi Guo:
An ensemble forecast system for tracking dynamics of dengue outbreaks and its validation in China. PLoS Comput. Biol. 18(6) (2022) - [j6]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:
Epidemic management and control through risk-dependent individual contact interventions. PLoS Comput. Biol. 18(6) (2022) - [c3]Sen Pei, Xin Zhang, Bin Fan, Gaofeng Meng:
Out-of-distribution Detection with Boundary Aware Learning. ECCV (24) 2022: 235-251 - [c2]Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash:
epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2022: 4850-4851 - [i17]Sen Pei, Jiaxi Sun, Xiaopeng Zhang, Gaofeng Meng:
Gradient Concealment: Free Lunch for Defending Adversarial Attacks. CoRR abs/2205.10617 (2022) - [i16]Sen Pei, Jiaxi Sun, Shiming Xiang, Gaofeng Meng:
Domain Decorrelation with Potential Energy Ranking. CoRR abs/2207.12194 (2022) - [i15]Sen Pei, Shixiong Xu, Ye Yuan, Xiaojie Jin:
Global Prototype Encoding for Incremental Video Highlights Detection. CoRR abs/2209.05166 (2022) - [i14]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:
Characterizing human collective behaviours of COVID-19 in Hong Kong. CoRR abs/2212.05299 (2022) - 2021
- [j5]Xian Teng, Sen Pei, Yu-Ru Lin:
StoCast: Stochastic Disease Forecasting With Progression Uncertainty. IEEE J. Biomed. Health Informatics 25(3): 850-861 (2021) - [c1]Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash:
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). KDD 2021: 4104-4105 - [i13]Sen Pei, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng:
Alleviating Mode Collapse in GAN via Diversity Penalty Module. CoRR abs/2108.02353 (2021) - [i12]Tapio Schneider, Oliver R. A. Dunbar, Jinlong Wu, Lucas Böttcher, Dmitry Burov, Alfredo Garbuno-Iñigo, Gregory LeClaire Wagner, Sen Pei, Chiara Daraio, Raffaele Ferrari, Jeffrey Shaman:
Epidemic Management and Control Through Risk-Dependent Individual Contact Interventions. CoRR abs/2109.10970 (2021) - [i11]Sen Pei, Xin Zhang, Richard Yida Xu, Gaofeng Meng:
GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples. CoRR abs/2112.11648 (2021) - 2020
- [j4]Sen Pei, Jiannan Wang, Flaviano Morone, Hernán A. Makse:
Influencer identification in dynamical complex systems. J. Complex Networks 8(2) (2020) - [j3]Sarah C. Kramer, Sen Pei, Jeffrey Shaman:
Forecasting influenza in Europe using a metapopulation model incorporating cross-border commuting and air travel. PLoS Comput. Biol. 16(10) (2020) - [j2]Sen Pei, Jeffrey Shaman:
Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illness. PLoS Comput. Biol. 16(10) (2020)
2010 – 2019
- 2019
- [j1]Sen Pei, Mark A. Cane, Jeffrey Shaman:
Predictability in process-based ensemble forecast of influenza. PLoS Comput. Biol. 15(2) (2019) - [i10]Sen Pei, Jiannan Wang, Flaviano Morone, Hernán A. Makse:
Influencer identification in dynamical complex systems. CoRR abs/1907.13017 (2019) - 2017
- [i9]Sen Pei, Flaviano Morone, Hernán A. Makse:
Theories for influencer identification in complex networks. CoRR abs/1707.01594 (2017) - 2016
- [i8]Sen Pei, Xian Teng, Jeffrey Shaman, Flaviano Morone, Hernán A. Makse:
Collective influence maximization in threshold models of information cascading with first-order transitions. CoRR abs/1606.02739 (2016) - [i7]Xian Teng, Sen Pei, Flaviano Morone, Hernán A. Makse:
Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks. CoRR abs/1606.02740 (2016) - 2015
- [i6]Shaoting Tang, Xian Teng, Sen Pei, Shu Yan, Zhiming Zheng:
Identification of highly susceptible individuals in complex networks. CoRR abs/1504.00474 (2015) - [i5]Sen Pei, Lev Muchnik, Shaoting Tang, Zhiming Zheng, Hernán A. Makse:
Exploring the complex pattern of information spreading in online blog communities. CoRR abs/1504.00495 (2015) - [i4]Sen Pei, Shaoting Tang, Zhiming Zheng:
Detecting the Influence of Spreading in Social Networks with Excitable Sensor Networks. CoRR abs/1504.00502 (2015) - 2014
- [i3]Sen Pei, Lev Muchnik, José S. Andrade Jr., Zhiming Zheng, Hernán A. Makse:
Searching for superspreaders of information in real-world social media. CoRR abs/1405.1790 (2014) - 2013
- [i2]Lev Muchnik, Sen Pei, Lucas C. Parra, Saulo D. S. Reis, José S. Andrade Jr., Shlomo Havlin, Hernán A. Makse:
Origins of power-law degree distribution in the heterogeneity of human activity in social networks. CoRR abs/1304.4523 (2013) - [i1]Sen Pei, Hernán A. Makse:
Spreading dynamics in complex networks. CoRR abs/1312.6335 (2013)
Coauthor Index
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last updated on 2024-12-26 00:46 CET by the dblp team
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