Ziqi Zhang

Artificial Intelligence · with Robinson · 2018

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #9,288 of 35,345 by trust here, #13,962 by citations
• Natural Language Processing — 39 citations into it; #1,978 of 5,688 by trust here, #3,107 by citations
• Information Systems — 23 citations into it; #5,487 of 8,771 by trust here, #7,386 by citations
• Safety, Robustness & Interpretability — 18 citations into it; #1,596 of 2,251 by trust here, #2,161 by citations
• Communication — 13 citations into it; #491 of 3,460 by trust here, #990 by citations
• AI Ethics, Fairness & Society — 9 citations into it
• Law — 7 citations into it

Whom Ziqi Zhang trusts overall

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

1. Zeerak Talat
2. Yashar Mehdad
3. Anna Schmidt
4. William Warner
5. Björn Gambäck
6. P. Burnap
7. Diederik P. Kingma
8. Ji Ho Park
9. Jason P. C. Chiu
10. Joel R. Tetreault

Who trusts Ziqi Zhang overall

1. Betty van Aken
2. Mladen Karan
3. Frederick Liu
4. Julian Risch
5. Rui Cao
6. Marzieh Mozafari
7. David Robinson
8. Paul Röttger
9. Bertie Vidgen
10. Rohan Kshirsagar

Papers from Ziqi Zhang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Detecting Hate Speech on Twitter Using a Convolution-GRU Based Deep Neural Network (2018) — 653 citations
• Hate Speech Detection on Twitter: Feature Engineering v.s. Feature Selection (2018) — 31 citations
• Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter (2018) — 329 citations