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Infectious Diseases of Poverty|March 25, 2022
Optimal resource allocation with spatiotemporal transmission discovery for effective disease controlJinfu Ren, Mutong Liu, Yang Liu, et al.
Infectious Diseases of Poverty|March 1, 2023
TransCode: Uncovering COVID-19 transmission patterns via deep learningJinfu Ren, Mutong Liu, Yang Liu, et al.
IEEE Transactions on Cybernetics|October 4, 2022
Commonality and Individuality-Based Subspace LearningJinfu Ren, Yang Liu, Jiming Liu
Infectious Disease Modelling|February 27, 2023
Assessing the spatiotemporal malaria transmission intensity with heterogeneous risk factors: A modeling study in CambodiaMutong Liu, Yang Liu, Ly Po, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 3, 2020
Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic FrameworkQi Tan, Yang Liu, Jiming Liu
Eclinicalmedicine|June 14, 2021
Uncovering transmission patterns of COVID-19 outbreaks: A region-wide comprehensive retrospective study in Hong KongYang Liu, Zhonglei Gu, Jiming Liu
Frontiers in Big Data|February 3, 2025
Toward a physics-guided machine learning approach for predicting chaotic systems dynamicsLiu Feng, Yang Liu, Benyun Shi, et al.
IEEE Transactions on Cybernetics|October 12, 2018
Identifying Key Opinion Leaders in Social Media via Modality-Consistent Harmonized Discriminant EmbeddingYang Liu, Zhonglei Gu, Tobey H Ko, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
W-DOE: Wasserstein Distribution-Agnostic Outlier ExposureQizhou Wang, Bo Han, Yang Liu, et al.
Frontiers in Public Health|June 3, 2024
Bayesian inference for the onset time and epidemiological characteristics of emerging infectious diseasesBenyun Shi, Sanguo Yang, Qi Tan, et al.
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