Fanyang Meng

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Multimodal Learning — 6 citations into it

Whom Fanyang Meng trusts overall

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

1. Amir Zadeh
2. Geoffrey E. Hinton
3. Sepp Hochreiter
4. Alex Graves
5. J. Urgen Schmidhuber
6. Louis-philippe Morency
7. Percy Liang
8. Yao-Hung Hubert Tsai
9. Yoshua Bengio

Papers from Fanyang Meng's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality (2020) — 542 citations