Chenyang Lu

AI‐Empowered Hyper‐Information Barcodes for Multiparameter Sensing With a Single Multimode Microresonator

Jie Liao, Hangyue Li, Chenyang Lu, Yu Wang

ABSTRACT Accurate multiparameter sensing is crucial for characterizing and analyzing complex interactions in dynamic environments, providing deeper insights and enabling effective decision‐making across various fields. Conventional multiparameter sensors typically rely on multiple sensors or microstructures, each requiring separate calibration and complex data …

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Patterns of Gabapentin Use in Patients With Cervical Spondylotic Myelopathy

Benjamin C. Warner, Faraz Arkam, Salim Yakdan, Ahmad Hammo et autres

Cervical spondylotic myelopathy (CSM) is the most common cause of nontraumatic spinal cord dysfunction in adults and is an increasingly important source of disability as populations age. Gabapentin is widely prescribed for neuropathic pain and may therefore be used for symptoms related …

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Rethinking measurement of movement-evoked pain with digital technology

Madelyn R. Frumkin, Jingwen Zhang, Ziqi Xu, Salim Yakdan et autres

Movement-evoked pain (MEP) may be a useful metric for phenotyping musculoskeletal pain conditions. However, there is significant disagreement over operationalization, and no studies have assessed stability of MEP over time. Fitbit and Ecological Momentary Assessment (EMA) data were collected from adults with …

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Baseline machine learning prediction of 2-year remission from anxiety, depression, and eating disorders among college students after population-based guided self-help: A secondary analysis of a randomized controlled trial

Adam Calderon, Daoyi Zhu, Nur Hani Zainal, Chenyang Lu et autres

Background: We examined whether machine learning could identify baseline variables that predicted 2-year follow-up prevention and remission from anxiety, depression, and eating disorders following population-based digital cognitive-behavioral therapy guided self-help (D-CBTgsh).Methods: Undergraduates at risk for or meeting criteria for anxiety, depression, and …

Whispering-gallery-mode resonators for detection and classification of free-flowing nanoparticles and cells through photoacoustic signatures

Jie Liao, Maxwell Adolphson, Hangyue Li, Dipayon Kumar Sikder et autres

Micro and nanoscale particles have played crucial roles across diverse fields, from biomedical imaging and environmental processes to early disease diagnosis, influencing numerous scientific research and industrial applications. Their unique characteristics demand accurate detection, characterization, and identification. However, conventional spectroscopy and microscopy …

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IMENet: infrared-guided multimodal enhancement network for low-light vision

Xiaobing Yu, Huapeng Wu, Chenyang Lu, Zebin Wu et autres

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TokenScale: Timely and Accurate Autoscaling for Disaggregated LLM Serving with Token Velocity

Ruiqi Lai, Chenyang Lu, Zonghao Liu, Siyu Cao et autres

The architectural shift to prefill/decode (PD) disaggregation in LLM serving improves resource utilization but struggles with the bursty nature of modern workloads. Existing autoscaling policies, often retrofitted from monolithic systems like those in AIBrix and DistServe, rely on lagging indicators such as …

CHEF-VL: Detecting Cognitive Sequencing Errors in Cooking with Vision-language Models

Ruiqi Wang, Pengbin Gao, T. Liu, Yejin Lee et autres

Minimally obtrusive support for individuals with subjective cognitive decline (SCD) is important for fostering independence in completing daily tasks. In overseeing these tasks, occupational therapists may choose to help as errors arise and provide corrective courses of action. To accomplish this, therapists …

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Establishing objective markers of physical activity to identify early improvement after lumbar spine surgery

Justin K. Zhang, Salim M. Yakdan, Jingwen Zhang, Saad Javeed et autres

OBJECTIVE: Despite growing interest in using biometric measures as objective tools to monitor recovery after spine surgery, there is sparse guidance on appropriate thresholds to evaluate perioperative changes in these domains. The authors defined thresholds of activity and heart rate (HR) measures …

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Sleep Physiology in Spine Disease

Salim Yakdan, Jingwen Zhang, Kathleen Suzann Botterbush, Muhammad Irfan Kaleem et autres

STUDY DESIGN: Prospective cohort study. OBJECTIVE: We aim to compare Fitbit-collected sleep metrics between patients with cervical and lumbar spine diseases and explore correlations between these metrics and patient-reported outcome measures (PROMs) and self-reported sleep. SUMMARY OF BACKGROUND DATA: Pain, fatigue, and …

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Patterns of maternal and child health services utilization and associated socioeconomic disparities in sub-Saharan Africa

Claire Najjuuko, Ziqi Xu, Samuel Kizito, Chenyang Lu et autres

Under-five mortality remains a global health issue, especially in sub-Saharan Africa, where preventable conditions largely drive the high mortality rates. Understanding the heterogeneity in utilization of reproductive, maternal, newborn, and child health services is crucial for reducing under-five mortality. Here we show …

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Real-Time Video-Based Human Action Recognition on Embedded Platforms

Ruiqi Wang, Pengbin Gao, Jae‐Hwan Jeong, Yejin Lee et autres

Advances in computer vision and deep learning have made video-based Human Action Recognition (HAR) increasingly feasible. However, running HAR on live video streams encounters significant delays on embedded platforms due to computational demands. This work addresses real-time HAR performance challenges through four …

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