Xingyu Dang

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 87 citations into it
• Computer Vision and Pattern Recognition — 54 citations into it
• Efficiency & Compression — 46 citations into it
• Evaluation & Benchmarks — 20 citations into it
• Electrical and Electronic Engineering — 14 citations into it
• Model Architectures — 9 citations into it
• Natural Language Processing — 9 citations into it

Whom Xingyu Dang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Song Han
4. Alex Krizhevsky
5. Kaiming He
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Ross B. Girshick
10. Karen Simonyan

Papers from Xingyu Dang's perspective

Ordered by how strongly the researchers Xingyu Dang 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. Learning Multiple Layers of Features from Tiny Images

Their papers

• AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration (2023) — 1,557 citations
• AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration (2023) — 857 citations