Gradient descent finds global minima of deep neural networks
2018 • 1696 Citations
Published in 36th International Conference on Machine Learning (ICML 2019)
Simon Shaolei Du
Simon Shaolei Du is a researcher affiliated with Associate Professor, School of Computer Science and Engineering, University of Washington, specializing in AI & Machine Learning. Their work has been cited 16,976 times. This profile visualizes their global influence, highlighting strong citation networks in US.
AI & Machine Learning
0h-index
0i10-index
0Citations
0Works
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Associate Professor, School of Computer Science and Engineering, University of Washington•
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Simon Shaolei Du's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 16,976
- Citing Countries
- 1
As of April 2026.
Simon Shaolei Du has an h-index of 1 and 16,976 total citations across 1 publication, with research cited by institutions in 1 country.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Top Citing Countries(Limited)
United States(US)
8Top Citing Institutions(Limited)
Oregon Health & Science University
4Stanford University
1Microsoft Research
1Massachusetts General Hospital
1University of Texas at Austin
1Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 1 of 1 countries (8 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Jayashree Kalpathy-Cramer
7.0Massachusetts General Hospital
USA· Cited your work 1 time
IndependentTop institution - #2
Zhao Song
7.0University of Texas at Austin
USA· Cited your work 1 time
IndependentTop institution - #3
Zeyuan Allen-Zhu
7.0Microsoft Research
USA· Cited your work 1 time
IndependentTop institution - #4
Yuanzhi Li
7.0Stanford University
USA· Cited your work 1 time
IndependentTop institution - #5
Rene Y. Choi
5.0Oregon Health & Science University
USA· Cited your work 1 time
Independent - #6
Aaron S. Coyner
5.0Oregon Health & Science University
USA· Cited your work 1 time
Independent - #7
Michael F. Chiang
5.0Oregon Health & Science University
USA· Cited your work 1 time
Independent - #8
J. Peter Campbell
5.0Oregon Health & Science University
USA· Cited your work 1 time
Independent
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (Carnegie Mellon University). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Rene Y. Choi, Aaron S. Coyner, Jayashree Kalpathy-Cramer, Michael F. Chiang + 1 more
Translational Vision Science & Technology (TVST)· cites “Gradient descent finds global minima of deep neural networks”
· cites “Gradient descent finds global minima of deep neural networks”
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
36th International Conference on Machine Learning (ICML 2019)· cites “Gradient descent finds global minima of deep neural networks”
· cites “Gradient descent finds global minima of deep neural networks”
· cites “Gradient descent finds global minima of deep neural networks”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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