Mingjun Zhong

AAAI Conference on Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Mingjun Zhong trusts overall

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

1. J. Kolter
2. Jack Kelly
3. William W. Cohen
4. Aäron van den Oord
5. Po-Sen Huang
6. Geoffrey E. Hinton

Papers from Mingjun Zhong's perspective

Ordered by how strongly the researchers Mingjun Zhong 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. WaveNet: A Generative Model for Raw Audio
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Sequence-to-point learning with neural networks for nonintrusive load monitoring (2016) — 612 citations
• Advances in Neural Information Processing Systems 27 (NIPS 2014) (2014) — 18 citations