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2019. Real-time sensor anomaly detection and recovery in connected automated vehicle sensors. Y Wang, N Masoud, A Khojandi. IEEE transactions on intelligent transportation systems 22 (3), 1411-1421. , 2020. 140. 2020. A dynamic deep reinforcement learning-Bayesian framework for anomaly detection. J Watts, F Van Wyk, S Rezaei, Y Wang, N Masoud ...
Yiyang Wang. Follow. Portland, Oregon. About. Portland, OR, 2023. Updated July 2024. I am currently a Machine Learning Engineer at Intel Coperation. The most recent work I have been involved in are related to causal discovery and root cause analysis in the context of semiconductor manufacturing. If you are interested in causal discovery but don ...
- Portland, Oregon
e-mail: yiyang.wang3@mail.mcgill.ca. Yiyang wang is a second-year undergraduate pursuing a joint Bachelor's degree in Biology and Mathematics at McGill University. His areas of research include data analysis. Yiyang is currently working with our lab collaborators to analyze single-cell expression data.
View yiyang wang’s profile on LinkedIn, a professional community of 1 billion members. As a recent McGill University graduate with a BASc in Mathematical Biology, I joined Roche this May as a Bioinformatician.
- Roche
- Mississauga, Ontario, Canada
Yiyang Wang, Long Ma,Risheng Liu. Computer Vision and Image Understanding 202, 103095, 2020. 1 * 2020: A nonuniform method for extracting attractive structures from ...
The University of British Columbia - Cited by 108 - Urban forestry - Urban planning - Sustainable transportation
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I have entensive practical experience analyzing a variety of data types in the field of bioinformatics, from multi-omics datasets to single-cell and bulk sequencing. | Learn more about yiyang wang's work experience, education, connections & more by visiting their profile on LinkedIn
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