Ermin Wei

Computer Networks and Communications · 2009–2019

A researcher in the Science corpus: 5 papers; trusts 62 researchers and is trusted by 77 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 86 citations into it; #202 of 9,886 by trust here, #943 by citations
• Artificial Intelligence — 42 citations into it; #31,768 of 35,345 by trust here, #31,361 by citations
• Optimization & Training — 39 citations into it; #511 of 2,601 by trust here, #1,313 by citations
• Computational Mechanics — 36 citations into it; #775 of 10,001 by trust here, #2,070 by citations
• Mathematical Optimization — 12 citations into it; #93 of 422 by trust here, #160 by citations
• Algorithms & Complexity — 8 citations into it
• Electrical and Electronic Engineering — 8 citations into it; #625 of 16,539 by trust here, #6,291 by citations
• ML Systems & Hardware — 7 citations into it; #45 of 575 by trust here, #296 by citations

Whom Ermin Wei trusts overall

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

1. Angelia Nedić
2. Sundhar Srinivasan Ram
3. Yurii E. Nesterov
4. John N. Tsitsiklis
5. John C. Duchi
6. Asuman E. Ozdaglar
7. Dimitri P. Bertsekas
8. Radford M. Neal
9. Stephen P. Boyd
10. Ioannis D. Schizas

Who trusts Ermin Wei overall

1. Nicolas Loizou
2. Mingyi Hong
3. Aurélien Bellet
4. Angelia Nedić
5. Amrit Singh Bedi
6. Thinh T. Doan
7. Albert S. Berahas
8. Anastasia Koloskova
9. Gesualdo Scutari
10. Necdet Serhat Aybat

Papers from Ermin Wei's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Parallel and distributed computation
7. Regression Shrinkage and Selection via the Lasso
8. Distributed Subgradient Methods for Multi-Agent Optimization
9. ImageNet: A large-scale hierarchical image database
10. Problems in decentralized decision making and computation

Their papers

• Distributed Alternating Direction Method of Multipliers (2012) — 440 citations
• Nested Distributed Gradient Methods with Adaptive Quantized Communication (2019) — 14 citations
• Balancing Communication and Computation in Distributed Optimization (2017) — 120 citations
• On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers (2013) — 362 citations
• Pursuit and an evolutionary game (2009) — 58 citations