Justin Cheng
Sociology and Political Science · 2013–2017
A researcher in the Science corpus: 8 papers; trusts 29 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 39 citations into it
- Artificial Intelligence — 33 citations into it; #16,626 of 35,345 by trust here, #12,083 by citations
- Information Systems — 23 citations into it; #2,938 of 8,771 by trust here, #2,604 by citations
- Statistical and Nonlinear Physics — 21 citations into it; #8,481 of 10,127 by trust here, #1,800 by citations
- Computer Science Applications — 15 citations into it; #1,788 of 1,855 by trust here, #634 by citations
- Communication — 14 citations into it; #974 of 3,460 by trust here, #756 by citations
- Human-Computer Interaction — 14 citations into it
- Education — 13 citations into it; #10,917 of 11,309 by trust here, #6,846 by citations
Whom Justin Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul R. Rosenbaum
- James W. Pennebaker
- Andrew D. Miller
- Dedre Gentner
- Donald B. Rubin
- Cristian Danescu-Niculescu-Mizil
- Victor S. Sheng
- Lev Muchnik
- R. Booth
- Nicholas A. Diakopoulos
Who trusts Justin Cheng overall
- Srijan Kumar
- Umashanthi Pavalanathan
- Alexandra Olteanu
- Eshwar Chandrasekharan
- Michael S. Bernstein
- Cristian Danescu-Niculescu-Mizil
- Jacob Eisenstein
- Jure Leskovec
- Neil Shah
- John Pavlopoulos
Papers from Justin Cheng's perspective
Ordered by how strongly the researchers Justin Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Antisocial Behavior in Online Discussion Communities (2015) — 344 citations
- Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions (2017) — 542 citations
- Flock: Hybrid Crowd-Machine Learning Classifiers (2015) — 141 citations
- Rumor Cascades (2014) — 489 citations
- Break It Down: A Comparison of Macro- and Microtasks (2015) — 153 citations
- How Community Feedback Shapes User Behavior (2014) — 145 citations
- How annotation styles influence content and preferences (2013) — 17 citations
- Peer and self assessment in massive online classes (2013) — 465 citations