Yian Ma
Artificial Intelligence · 2012–2020
A researcher in the Science corpus: 9 papers; trusts 99 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Optimization & Training — 11 citations into it
- Statistics and Probability — 10 citations into it; #4,563 of 12,932 by trust here, #3,330 by citations
- Probabilistic & Bayesian Methods — 7 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Yian Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Max Welling
- Geoffrey E. Hinton
- Alex Krizhevsky
- Michel Le Bellac
- Yee Whye Teh
- Yoshua Bengio
- Michael I. Jordan
- Kaiming He
- Diederik P. Kingma
Who trusts Yian Ma overall
- Stephan Mandt
- Javier Antorán Cabiscol
- Zhenyi Wang
- Anqi Wu
- Pratik Chaudhari
- Christopher Nemeth
- Yunfu Song
- Matthew D. Hoffman
- Fredrik K. Gustafsson
- Liu Yang
Papers from Yian Ma's perspective
Ordered by how strongly the researchers Yian Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A Complete Recipe for Stochastic Gradient MCMC (2015) — 537 citations
- Single-cell mRNA quantification and differential analysis with Census (2017) — 1,670 citations
- Performance of the ATLAS muon triggers in Run 2 (2020) — 358 citations
- Deep Mixture of Experts via Shallow Embedding (2018) — 154 citations
- Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2 (2017) — 222 citations
- Jet reconstruction and performance using particle flow with the ATLAS Detector (2017) — 408 citations
- Luminosity determination in pp collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sqrt{s}$$\end{document}s (2016) — 235 citations
- Electron efficiency measurements with the ATLAS detector using 2012 LHC proton–proton collision data (2016) — 259 citations
- A search for a doubly-charged Higgs boson in pp collisionsat √s = 7 TeV (2012) — 149 citations