Hang Liu

Artificial Intelligence · with Li · 2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Natural Language Processing — 22 citations into it

Whom Hang Liu trusts

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

1. Samuel R. Bowman (in Artificial Intelligence)

Papers from Hang Liu's perspective

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

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet classification with deep convolutional neural networks
8. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Automatic differentiation in PyTorch

Their papers

• Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning (2020) — 67 citations
• FTRANS: energy-efficient acceleration of transformers using FPGA (2020) — 231 citations