Junyang Qiu — accepted AI-conference papers

2026

Prior Knowledge-enhanced Spatio-temporal Epidemic Forecasting

Sijie Ruan, Jinyu Li, Jia Wei, Zenghao Xu, Jie Bao, Junshi Xu +4

IJCAI 2026

Spatio-temporal epidemic forecasting is critical for public health management, yet existing methods often struggle with insensitivity to weak epidemic signals, over-simplified spatial relations, and unstable parameter estimation. To address these challenges, we propose the Spatio-Temporal priOr-awar

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2020

Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting

Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li

ECCV 2020poster

Diversity-Ensemble and Region Fitting","We introduce a three stage pipeline: resized-diverse-inputs (RDIM), diversity-ensemble (DEM) and region fitting, that work together to generate transferable adversarial examples. We first explore the internal relationship between existing attacks, and propose…

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