Yukun Ma

Artificial Intelligence · with Cambria · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 77 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 92 citations into it; #16,773 of 35,345 by trust here, #15,236 by citations
• Natural Language Processing — 52 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Model Architectures — 7 citations into it
• Information Systems — 5 citations into it

Whom Yukun Ma trusts overall

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

1. Ilya Sutskever
2. Yoshua Bengio
3. Tomas Mikolov
4. Geoffrey E. Hinton
5. Sepp Hochreiter
6. Diederik P. Kingma
7. Erik Cambria
8. Dzmitry Bahdanau
9. J. Urgen Schmidhuber
10. Alex Krizhevsky

Who trusts Yukun Ma overall

1. Erik Cambria
2. Soujanya Poria
3. Tom Young
4. Shaoxiong Ji
5. Devamanyu Hazarika
6. Chi Sun
7. Greg Van Houdt
8. Orion Weller
9. Wei Wang
10. Kaixin Ma

Papers from Yukun Ma's perspective

Ordered by how strongly the researchers Yukun Ma 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM (2018) — 583 citations
• A survey on empathetic dialogue systems (2020) — 237 citations
• Label Embedding for Zero-shot Fine-grained Named Entity Typing (2016) — 149 citations