Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks. - Stefan T. Radev; Frederik Graw; Simiao Chen; Nico T. Mutters; Vanessa Eichel; Till Bärnighausen; Ullrich Köthe (CoRR, 2020)

Estimating air quality co-benefits of energy transition using machine learning. - Da Zhang; Qingyi Wang; Shaojie Song; Simiao Chen; Mingwei Li; Lu Shen; Siqi Zheng; Bofeng Cai; Shenhao Wang (CoRR, 2021)

OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany. - Stefan T. Radev; Frederik Graw; Simiao Chen; Nico T. Mutters; Vanessa Eichel; Till Bärnighausen; Ullrich Köthe (PLoS Comput. Biol., 2021)

Differential Evolution Based Simulated Annealing Method for Vaccination Optimization Problem. - Simiao Chen; Qiang He 002; Chensheng Zheng; Lihong Sun; Xingwei Wang 001; Lianbo Ma; Yuliang Cai (IEEE Trans. Netw. Sci. Eng., 2022)

CGSMP: Controllable Generative Summarization via Multimodal Prompt. - Qian Yong; Jueqi Wei; YiRen Zhang; XiLun Zhang; Chao Wei; Simiao Chen; Yunhe Li; Cheng Ye; Bing Huang; Hao Wang (LGM3A@MM, 2023)

A New Memristive System with Chaotic and Periodic Bursting and Its FPGA Implementation. - Qiuzhen Wan; Fei Li; Jiong Liu; Simiao Chen; Zidie Yan (Circuits Syst. Signal Process., 2023)

Decentralized stochastic sharpness-aware minimization algorithm. - Simiao Chen; Xiaoge Deng; Dongpo Xu; Tao Sun 005; Dongsheng Li 001 (Neural Networks, 2024)

Room Impulse Response Reconstruction Using Pattern-Coupled Sparse Bayesian Learning With Spherical Waves. - Xuelei Feng; Jiazheng Cheng; Simiao Chen; Yong Shen (IEEE Signal Process. Lett., 2024)

A novel locally active memristive autapse-coupled Hopfield neural network under electromagnetic radiation. - Qiuzhen Wan; Simiao Chen; Tieqiao Liu; Haixiang Lan; Kun Shen (Integr., 2025)