Aydin Buluç

Molecular Biology · 2009–2021

A researcher in the Science corpus: 9 papers; trusts 45 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 49 citations into it
• Artificial Intelligence — 41 citations into it; #29,937 of 35,345 by trust here, #25,040 by citations
• Computer Networks and Communications — 40 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it; #18,383 of 21,575 by trust here, #12,419 by citations
• Optimization & Training — 34 citations into it; #2,333 of 2,601 by trust here, #1,942 by citations
• Hardware and Architecture — 30 citations into it
• Computational Theory and Mathematics — 28 citations into it
• Statistical and Nonlinear Physics — 13 citations into it

Whom Aydin Buluç trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. U. Brandes
2. Y. Saad
3. Santo Fortunato
4. J. Demmel
5. Stijn van Dongen
6. Iain S. Duff
7. Jeremy G. Siek
8. Timothy A. Davis
9. R. Vuduc
10. Bruce Hendrickson

Who trusts Aydin Buluç overall

1. Weifeng Liu
2. Jiajia Li
3. Jongsoo Park
4. Joseph E. Gonzalez
5. Henning Meyerhenke
6. Brian Vinter
7. Noam Shazeer
8. Reynold Xin
9. Jimeng Sun
10. Narayanan Sundaram

Papers from Aydin Buluç's perspective

Ordered by how strongly the researchers Aydin Buluç trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Going deeper with convolutions
4. Et al
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Integrated Model, Batch, and Domain Parallelism in Training Neural Networks (2017) — 88 citations
• Communication optimal parallel multiplication of sparse random matrices (2013) — 118 citations
• Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication (2016) — 63 citations
• Recent Advances in Graph Partitioning (2013) — 614 citations
• Critical Assessment of Metagenome Interpretation: the second round of challenges (2021) — 314 citations
• Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation (2017) — 12 citations
• Integrated Model and Data Parallelism in Training Neural Networks (2017) — 12 citations
• The Combinatorial BLAS: design, implementation, and applications (2011) — 437 citations
• Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks (2009) — 457 citations