基本信息
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Career Trajectory
Bio
Rohan Varma received the B.Sc. degree in electrical engineering and computer science, the B.A economics and B.A statistics degrees from U.C Berkeley, Berkeley, CA, USA in 2014, and the M.Sc. degree in electrical and computer engineering from Carnegie Mellon University, Pittsburgh, PA, USA, in 2016. He is currently working toward the Ph.D. degree in electrical and computer engineering from Carnegie Mellon University and is advised by J. Kovačević. His research interests include graph signal processing, graph neural networks and more generally using graphs to augment machine learning tasks. He was the recipient of the 2019 IEEE Signal Processing Society Young Author Best Paper Award.
Research Interests
Papers共 23 篇Author StatisticsCo-AuthorSimilar Experts
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Yanli Zhao, Andrew Gu,Rohan Varma,Liang Luo,Chien-Chin Huang, Min Xu,Less Wright, Hamid Shojanazeri,Myle Ott,Sam Shleifer,Alban Desmaison,Can Balioglu,
Johannes C. Hermann,Robert Everley,Laura Marholz,Matthew Berberich,Tzu-Yi Yang, Yu-Hsin Chao, Abduselam K. Awol,Michael Shaghafi, Han Yoon,Rohan Varma, Reed Stein, Karsten Krug,
CANCER RESEARCHno. 7 (2023): 5333-5333
Shen Li,Pritam Damania, Luca Wehrstedt,Rohan Varma,Omkar Salpekar, Pavel Belevich, Howard Huang,Yanli Zhao, Lucas Hosseini, Wanchao Liang, Hongyi Jia, Shihao Xu,
Conference on Machine Learning and Systems (2023)
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IEEE Transactions on Signal and Information Processing over Networks (2020): 48-62
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