Mingdong Ou
Representation & Self-Supervised Learning · 2016–2026
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Representation & Self-Supervised Learning — 20 citations into it; #1,687 of 3,145 by trust here, #1,527 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Mingdong Ou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mikhail Belkin
- Omer Levy
- Josh Tenenbaum
- Jure Leskovec
- Bryan Perozzi
- Peter D. Hoff
- Shuicheng Yan
- Geoffrey E. Hinton
- Partha Niyogi
- Yoshua Bengio
Who trusts Mingdong Ou overall
- William L. Hamilton
- Palash Goyal
- David M. Beskow
- Vincent Wenchen Zheng
- Peng Cui
- Xiao Wang
- Tengfei Ma
- Balasubramaniam Srinivasan
- Liyu Gong
- John T. Hancock
Papers from Mingdong Ou's perspective
Ordered by how strongly the researchers Mingdong Ou 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)