Jie Shen
Assistant Professor at Stevens Institute of Technology
Hoboken, New Jersey, United States
Summary
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Senior🎓
Top SchoolJie Shen is an Assistant Professor at Stevens Institute of Technology with 13 years of experience bridging theoretical and applied machine learning, specializing in learning from highly noisy data, high-dimensional statistics, recommender systems, and stochastic processes. His decade-long research track record includes publications in NeurIPS and ICML and earned him an NSF CAREER award in 2023, underscoring his influence on algorithmic foundations. He has applied his expertise in industry as a research consultant at Facebook and deepened international collaborations through visiting positions at Duke and the National University of Singapore. Trained with a PhD from Rutgers and advanced degrees from Shanghai Jiao Tong University, he combines rigorous mathematical grounding with practical problem-solving in real-world systems. Based in Hoboken, NJ, Jie is known for turning theoretical insights into robust methods for noisy, high-dimensional settings—an asset for teams tackling messy, large-scale data.
13 years of coding experience
Master of Science Computer Science, Master of Science Computer Science at Shanghai Jiao Tong UniversityDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Rutgers UniversityGithub contributions (3)
jieshen-sjtu/OnlineMaxNorm-NIPS2014
Oct 2014 - May 2016
Contributions:2 commits, 1 push in 1 year 6 months
jieshen-sjtu/vlfeat-adapter
Mar 2013 - Jul 2013
Contributions:39 commits in 3 months
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