Minghai Chen

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #9,348 of 35,345 by trust here, #9,170 by citations
• Natural Language Processing — 20 citations into it
• Experimental and Cognitive Psychology — 17 citations into it; #1,579 of 9,731 by trust here, #1,576 by citations
• Multimodal Learning — 11 citations into it; #441 of 1,211 by trust here, #671 by citations
• Representation & Self-Supervised Learning — 6 citations into it

Whom Minghai Chen trusts overall

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

1. Diederik P. Kingma
2. Ronald J. Williams
3. Richard Socher
4. Soujanya Poria
5. Amir Zadeh
6. Geoffrey E. Hinton
7. Louis-philippe Morency
8. Jimmy Ba
9. Yoshua Bengio
10. Erik Cambria

Who trusts Minghai Chen overall

1. Amir Zadeh
2. Soujanya Poria
3. Percy Liang
4. Devamanyu Hazarika
5. Navonil Majumder
6. Shan Li
7. Louis-philippe Morency
8. Yao-Hung Hubert Tsai
9. Ashima Yadav
10. Zhun Liu

Papers from Minghai Chen's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Tensor Fusion Network for Multimodal Sentiment Analysis (2017) — 1,841 citations
• Multimodal sentiment analysis with word-level fusion and reinforcement learning (2017) — 312 citations