Zichang Liu

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 74 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it
• Efficiency & Compression — 39 citations into it
• Model Architectures — 21 citations into it

Whom Zichang Liu trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Alex Krizhevsky
5. Noam Shazeer
6. Diederik P. Kingma
7. Ilya Sutskever
8. Yann LeCun
9. Alec Radford
10. Oriol Vinyals

Who trusts Zichang Liu overall

1. Mingjie Sun

Papers from Zichang Liu's perspective

Ordered by how strongly the researchers Zichang Liu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time (2023) — 356 citations
• Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time (2023) — 475 citations