Tian Wang

Natural Language Processing · with Angeli · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 105 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 55 citations into it; #2,097 of 5,688 by trust here, #4,032 by citations
• Artificial Intelligence — 51 citations into it; #10,657 of 35,345 by trust here, #20,377 by citations
• Model Architectures — 16 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Large Language Models — 6 citations into it; #231 of 799 by trust here, #665 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Tian Wang trusts overall

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

1. Yoshua Bengio
2. Tomas Mikolov
3. Dzmitry Bahdanau
4. Geoffrey E. Hinton
5. Kyunghyun Cho
6. Holger Schwenk
7. Ilya Sutskever
8. Diederik P. Kingma
9. Sepp Hochreiter
10. Alex Graves

Who trusts Tian Wang overall

1. Ottokar Tilk
2. Edouard Grave
3. Jey Han Lau
4. Simeng Sun
5. Shaohui Kuang
6. Qian Chen
7. Rafal Józefowicz
8. Tanel Alumäe
9. Armand Joulin
10. Timothy Baldwin

Papers from Tian Wang's perspective

Ordered by how strongly the researchers Tian Wang 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Larger-Context Language Modelling with Recurrent Neural Network (2015) — 88 citations
• Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue (2019) — 10 citations