Spreading dynamics in complex networks. - Sen Pei; Hernán A. Makse (CoRR, 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)

Searching for superspreaders of information in real-world social media. - Sen Pei; Lev Muchnik; José S. Andrade Jr.; Zhiming Zheng 001; Hernán A. Makse (CoRR, 2014)

Exploring the complex pattern of information spreading in online blog communities. - Sen Pei; Lev Muchnik; Shaoting Tang; Zhiming Zheng 001; Hernán A. Makse (CoRR, 2015)

Detecting the Influence of Spreading in Social Networks with Excitable Sensor Networks. - Sen Pei; Shaoting Tang; Zhiming Zheng 001 (CoRR, 2015)

Identification of highly susceptible individuals in complex networks. - Shaoting Tang; Xian Teng; Sen Pei; Shu Yan; Zhiming Zheng 001 (CoRR, 2015)

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)

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)

Theories for influencer identification in complex networks. - Sen Pei; Flaviano Morone; Hernán A. Makse (CoRR, 2017)

Predictability in process-based ensemble forecast of influenza. - Sen Pei; Mark A. Cane; Jeffrey Shaman (PLoS Comput. Biol., 2019)

Influencer identification in dynamical complex systems. - Sen Pei; Jiannan Wang 003; Flaviano Morone; Hernán A. Makse (J. Complex Networks, 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)

Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illness. - Sen Pei; Jeffrey Shaman (PLoS Comput. Biol., 2020)

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 (KDD, 2021)

Alleviating Mode Collapse in GAN via Diversity Penalty Module. - Sen Pei; Richard Yi Da Xu; Shiming Xiang; Gaofeng Meng (CoRR, 2021)

GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples. - Sen Pei; Xin Zhang 093; Richard Yida Xu; Gaofeng Meng (CoRR, 2021)

StoCast: Stochastic Disease Forecasting With Progression Uncertainty. - Xian Teng; Sen Pei; Yu-Ru Lin (IEEE J. Biomed. Health Informatics, 2021)

Out-of-distribution Detection with Boundary Aware Learning. - Sen Pei; Xin Zhang 093; Bin Fan 001; Gaofeng Meng (ECCV (24), 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 (KDD, 2022)

Gradient Concealment: Free Lunch for Defending Adversarial Attacks. - Sen Pei; Jiaxi Sun; Xiaopeng Zhang 001; Gaofeng Meng (CoRR, 2022)

Domain Decorrelation with Potential Energy Ranking. - Sen Pei; Jiaxi Sun; Shiming Xiang; Gaofeng Meng (CoRR, 2022)

Global Prototype Encoding for Incremental Video Highlights Detection. - Sen Pei; Shixiong Xu; Ye Yuan; Xiaojie Jin (CoRR, 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; et al. (CoRR, 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)

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)

Domain Decorrelation with Potential Energy Ranking. - Sen Pei; Jiaxi Sun; Richard Yi Da Xu; Shiming Xiang; Gaofeng Meng (AAAI, 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 (KDD, 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)

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)

Influence Maximization based on Threshold Model in Hypergraph. - Renquan Zhang; Xilong Qu; Sen Pei (CoRR, 2023)

Influence Maximization based on Simplicial Contagion Model in Hypergraph. - Renquan Zhang; Ting Wei; Sen Pei (CoRR, 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)

Ensemble inference of unobserved infections in networks using partial observations. - Renquan Zhang; Jilei Tai; Sen Pei (PLoS Comput. Biol., 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., 2023)

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark. - Sen Pei; Shixiong Xu; Xiaojie Jin (AAAI, 2024)

Image Background Serves as Good Proxy for Out-of-distribution Data. - Sen Pei (ICLR, 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 071; Serina Chang; Anil Vullikanti; B. Aditya Prakash (KDD, 2024)

Healthcare system resilience and adaptability to pandemic disruptions in the United States. - Lu Zhong; Dimitri Lopez; Sen Pei; Jianxi Gao (CoRR, 2024)

Patient flow networks absorb healthcare stress during pandemic crises. - Lu Zhong; Sen Pei; Jianxi Gao (CoRR, 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; et al. (PLoS Comput. Biol., 2024)