Liheng Xu

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 4 papers; trusts 39 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #5,066 of 35,345 by trust here, #3,937 by citations
• Natural Language Processing — 33 citations into it; #1,987 of 5,688 by trust here, #1,939 by citations
• Representation & Self-Supervised Learning — 21 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it; #12,097 of 21,575 by trust here, #7,584 by citations
• Graph Learning — 7 citations into it; #403 of 693 by trust here, #279 by citations
• Large Language Models — 5 citations into it

Whom Liheng Xu trusts overall

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

1. Yoshua Bengio
2. Richard Socher
3. Geoffrey E. Hinton
4. L. Eon Bottou
5. Tomas Mikolov
6. Jason Aaron Edward Weston
7. Ilya Sutskever
8. Ronan Collobert
9. Antoine Bordes
10. Yann LeCun

Who trusts Liheng Xu overall

1. Thien Huu Nguyen
2. Saif M. Mohammad
3. Charu C. Aggarwal
4. Yangjun Zhang
5. Wei-Cheng Chang
6. Yubo Chen
7. Ammar Ismael Kadhim
8. Jian Liu
9. Sijia Wang
10. Amirsina Torfi

Papers from Liheng Xu's perspective

Ordered by how strongly the researchers Liheng Xu 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. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Recurrent Convolutional Neural Networks for Text Classification (2015) — 2,545 citations
• Knowledge Graph Embedding via Dynamic Mapping Matrix (2015) — 1,714 citations
• Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks (2015) — 894 citations
• Book Review: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions by Bing Liu (2016) — 707 citations