Accès ouvert
2026
preprint
OpenAlex
Abhilasha Saroj, Natalie Myers, Haoran Niu
Localized roadway incidents can produce congestion well beyond their point of origin, but evaluating these effects with microscopic simulation requires a separate run for each scenario. This paper presents a Spatio-Temporal Graph Convolutional Network (STGCN) for forecasting route-level travel times on a …
Accès ouvert
2026
preprint
OpenAlex
Abhilasha Saroj, Natalie Myers, Haoran Niu
Localized roadway incidents can produce congestion well beyond their point of origin, but evaluating these effects with microscopic simulation requires a separate run for each scenario. This paper presents a Spatio-Temporal Graph Convolutional Network (STGCN) for forecasting route-level travel times on a …
us
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Accès ouvert
2026
preprint
OpenAlex
Haoran Niu, Yingbei Xiong, Tianqin Xue, Y Yao et autres
cn
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Accès ouvert
2026
article
OpenAlex
Xi Wang, Haoran Niu, H G Chen, Xin Ding et autres
Background Adolescent mental disorders affect 14% of youth globally, yet treatment rates remain low (38%), particularly in low-resource settings. While stigma is a recognized barrier to care, limited evidence exists on how multi-level stigma (public, peer, family) transforms into self-stigmatization during adolescence—a …
cn, Ghana
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Accès ouvert
2026
preprint
OpenAlex
Haoran Niu, Kunhe Lin, Yingbei Xiong, Tianqin Xue et autres
cn
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Accès ouvert
2026
article
OpenAlex
Soumendra N. Bhanja, Haoran Niu, Yang Chen, Olufemi A. Omitaomu et autres
Anomaly detection in electronic health records (EHRs) is a cornerstone of biomedical informatics, with direct implications for patient safety, clinical decision-making, and the prevention of healthcare fraud. Once guided primarily by simple rule-based methods, the field has advanced rapidly, driven by increased …
us, au
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Accès ouvert
2026
preprint
OpenAlex
Tianqin Xue, Haoran Niu, Mengyuan Zhao, Yifan Yao et autres
Accès ouvert
2025
article
OpenAlex
Deeksha Rastogi, Haoran Niu, Shih‐Chieh Kao, Moetasim Ashfaq
Abstract This study uses different downscaling techniques and reference observations to investigate the characteristics of extreme storm events over the conterminous United States in historical and a projected future scenario. While previous studies agree on the projected changes in intensity and frequency …
us
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Accès ouvert
2025
conference-paper
OpenAlex
Haoran Niu, Moumita Samanta, Olufemi A. Omitaomu
Urban power systems increasingly rely on dense sensing to monitor grid reliability, yet disturbance labels are scarce and events are rare. We present a self-supervised spatio-temporal method that detects, localizes, and characterizes grid frequency disturbances across urban areas using only unlabeled data. …
us
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2025
article
OpenAlex
Olufemi A. Omitaomu, Ali Mostafavi, Sukanya Randhawa, Haoran Niu
Urban AI is an interdisciplinary field that integrates artificial intelligence, spatial computing, and urban science to tackle the multifaceted challenges of urbanization. The proliferation of urban data and the rapid digitization of city infrastructures have created unprecedented opportunities for leveraging data-driven machine …
us, de, gb
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Accès ouvert
2025
report
OpenAlex
Haoran Niu, Kelly M. T. Huffer, Olufemi A. Omitaomu
This report was prepared as an account of work sponsored by an
us
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Accès ouvert
2025
article
OpenAlex
Sixian Du, Haoran Niu, Feng Jiang, Liwen Gong et autres
BACKGROUND: HIV remains a critical global public health challenge, with 39 million people living with HIV as of 2022 and over 40.4 million lives lost to the epidemic. In China, the burden is similarly significant, with over 1.33 million HIV cases reported …
cn
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