Hao Cheng

Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations

Jiaheng Wei, Zhaowei Zhu, Hao Cheng et al. · arXiv (Cornell University) · 2021 · 61 citations · Full text

Artificial Intelligence, Data Annotation, Engineering +18

Utilizing Information Bottleneck to Evaluate the Capability of Deep Neural Networks for Image Classification

Hao Cheng, Dongze Lian, Shenghua Gao et al. · Entropy · 2019 · 27 citations · Full text

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Hao Cheng, Zhaowei Zhu, Xingyu Li et al. · arXiv (Cornell University) · 2020 · 27 citations · Full text

Multiple Instance Learning, Engineering, Machine Learning +18

Nighttime light perspective in urban resilience assessment and spatiotemporal impact of COVID-19 from January to June 2022 in mainland China

Yaohui Liu, Wenyi Liu, Xinyu Zhang et al. · Urban Climate · 2023 · 27 citations · Full text

Global Health, Urban Resilience Assessment, Geography +8

Seismic vulnerability and risk assessment at the urban scale using support vector machine and GIScience technology: a case study of the Lixia District in Jinan City, China

Yaohui Liu, Xinyu Zhang, Wenyi Liu et al. · Geomatics Natural Hazards and Risk · 2023 · 23 citations · Full text