Mengzhao Chen

Efficiency & Compression · 2023

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

Subfields

• Efficiency & Compression — 13 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom Mengzhao Chen trusts overall

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

1. Tim Dettmers
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Kaiming He
7. Zechun Liu
8. Ilya Sutskever
9. Luke S. Zettlemoyer
10. Yann LeCun

Papers from Mengzhao Chen's perspective

Ordered by how strongly the researchers Mengzhao Chen 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models (2023) — 460 citations