Submission declined on 14 November 2024 by Asilvering (talk).
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Comment: WP:TOOSOON - too early in career to meet WP:NPROF, sorry. asilvering (talk) 06:21, 14 November 2024 (UTC)
Yuzhou Chen, is a Ph.D researcher. Dr. Yuzhou Chen is an Assistant Professor[1] of Statistics at University of California in Riverside (UCR). Dr. Yuzhou Chen teaches level 200 STATs classes at UCR.[2] Dr. Yuzhou Chen was welcomed to the CIS Department at Temple University on April 20th, 2022.[3] Dr. Yuzhou Chen received his doctorate degree in statistics from Southern Methodist University where Dr. Yuzhou Chen gave a thesis/dissertation[4] on complex networks. He is a visiting researcher for the Department of Electrical and Computer Engineering at Princeton University. His advisor at Princeton is H. Vincent Poor.[5]
Research
editDr. Yuzhou Chen is deep learning (DL) researcher. Over Dr. Yuzhou Chen's career Dr. Chen has published[6] 52 articles on DL. Moreover, Dr. Yuzhou Chen has been cited 581 times and 262 times in the last year. His most notable paper,[7] published in 2021, has been cited 145 times. Currently Dr. Yuzhou Chen is researching homelessness[8] with the National Science Federation Open Knowledge Network. Dr. Yuzhou Chen also works with the Berkeley National Laboratory.[9] Furthermore, Dr. Yuzhou is an environmentalist.[10] His work involves mathematics[11] of networks.
Most of his research involves graphing of networks using DL techniques. DL is a subset of computer learning.[12] DL[13] is a process to understand data. Dr. Jal Mehta,[14] at Harvard Graduate School of Education said "[D[15]deeper Learning is the understanding of not just the surface features of a subject or discipline, but the underlying structures or ideas."] In the wider context of computer science, deep learning reinvigorated research into another subclass of the machine learning field, artificial intelligence.[16]
References
edit- ^ "UCR Profiles - Search & Browse". profiles.ucr.edu.
- ^ "Coursicle – Chat with classmates". www.coursicle.com.
- ^ "CIS DEPARTMENT- COLLOQUIUM EVENT: Dr. Yuzhou Chen | Calendar of Events". events.temple.edu.
- ^ "Statistical Science Theses and Dissertations | Statistical Science | Southern Methodist University". scholar.smu.edu.
- ^ "Yuzhou Chen | Electrical and Computer Engineering". ece.princeton.edu.
- ^ "Yuzhou Chen". scholar.google.com.
- ^ Chen, Yuzhou; Segovia, Ignacio; Gel, Yulia R. (July 1, 2021). "Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting". PMLR. pp. 1684–1694 – via proceedings.mlr.press.
- ^ "Theme 1 Projects - Proto-Open Knowledge Network (Proto-OKN)". Proto-OKN.
- ^ https://openprairie.sdstate.edu/ds_symposium_2022_speakers-invite/8/Lawrence
- ^ "TIES 2022: Yuzhou Chen - Session 6. Climate justice: the data science perspective". November 21, 2022 – via YouTube.
- ^ "Andrew Ng: Advice on Getting Started in Deep Learning | AI Podcast Clips". February 21, 2020 – via YouTube.
- ^ "Machine learning, explained | MIT Sloan". mitsloan.mit.edu. November 13, 2024.
- ^ https://www.cs.toronto.edu/~fritz/absps/ncfast.pdf
- ^ "Jal Mehta | Harvard Graduate School of Education". www.gse.harvard.edu.
- ^ "What is Deeper Learning? - Kaleidoscope Collective for Learning". www.doe.mass.edu.
- ^ 1. Sarker, I.H. Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions. SN COMPUT. SCI. 2, 420 (2021). https://doi.org/10.1007/s42979-021-00815-1
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