Zhun Liu

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 117 citations into it
• Computer Vision and Pattern Recognition — 56 citations into it; #16,840 of 21,575 by trust here, #4,658 by citations
• Natural Language Processing — 55 citations into it
• Model Architectures — 18 citations into it
• Multimodal Learning — 16 citations into it
• Signal Processing — 14 citations into it
• Experimental and Cognitive Psychology — 12 citations into it
• Sentiment & Opinion Analysis — 5 citations into it

Whom Zhun Liu trusts overall

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

1. Amir Zadeh
2. Louis-philippe Morency
3. Sepp Hochreiter
4. Geoffrey E. Hinton
5. J. Urgen Schmidhuber
6. Soujanya Poria
7. Yoshua Bengio
8. Diederik P. Kingma
9. Jeffrey Pennington
10. Corinna Cortes

Who trusts Zhun Liu overall

1. Amir Zadeh
2. Wenmeng Yu
3. Percy Liang
4. Wei Han
5. Weiyao Wang
6. Zhongkai Sun
7. Hua Xu
8. Shaoxiang Chen
9. Khaled Bayoudh
10. Mengmeng Ma

Papers from Zhun Liu's perspective

Ordered by how strongly the researchers Zhun 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model (2022) — 859 citations
• Efficient Low-rank Multimodal Fusion With Modality-Specific Factors (2018) — 995 citations
• Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors (2018) — 490 citations
• Foundation Transformers (2022) — 30 citations