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Yinan Wang

As seen in: Color Research & Application, Nature, Wiley Online Library, Frontiers, Frontiers in Public Health, MDPI, Taylor & Francis Online, ACS Publications, Alzheimer's Research and Therapy, Atlas Obscura and
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Articles

MSR97 ESTIMATING HETEROGENEOUS TREATMENT EFFECTS FOR PHARMACOEPIDEMIOLOGIC STUDIES: A SCOPING REVIEW FOR CAUSAL FOREST MODELS

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By Yinan Wang, Zhengxuan Li, Jieni Li, Rajender R Aparasu
| Value in Health Journal Verified
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An On-Device Edge-AI Agent for Reference-Free Sensor Self-Diagnosis in Multi-Pollutant Personal Exposure Monitoring

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By Yinan Wang, Tianqi Wang, Yubing Pan
| preprints.org
You are already at the latest version Personal environmental exposure monitoring increasingly relies on low-cost multi-pollutant sensors, yet existing devices keep all perceptual intelligence on remote servers. As a result the device cannot self-check sensor degradation in real time, onboarding a new sensor takes days of firmware work, and quality control fails whenever connectivity is lost.
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OpenCSP: a deep learning framework for crystal structure prediction from ambient to high pressure

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By Yinan Wang, Xiaoyang Wang, Zhenyu Wang, Jing Cynthia Wu, Jian Lv, Han Wang
| Nature Verified
Abstract High-pressure crystal structure prediction (CSP) underpins advances in condensed matter physics, planetary science, and materials discovery. However, most large atomistic models are trained on near-ambient equilibrium data, which leads to reduced stress accuracy at tens to hundreds of gigapascals and limited coverage of pressure-stabilized stoichiometries and dense coordination structures.
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