Zhao Hai

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 11 papers; trusts 315 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 254 citations into it; #7,900 of 35,345 by trust here, #7,172 by citations
• Natural Language Processing — 244 citations into it; #2,492 of 5,688 by trust here, #1,926 by citations
• Computer Vision and Pattern Recognition — 83 citations into it
• Evaluation & Benchmarks — 46 citations into it
• Model Architectures — 30 citations into it
• Representation & Self-Supervised Learning — 30 citations into it
• Large Language Models — 17 citations into it
• Question Answering & Reading Comprehension — 9 citations into it

Whom Zhao Hai trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Richard Socher
6. Tomas Mikolov
7. Alex Krizhevsky
8. Jimmy Ba
9. Alex Graves
10. Christopher D. Manning

Who trusts Zhao Hai overall

1. Zhuosheng Zhang
2. Yuwei Wu
3. Diego Marcheggiani
4. Shuailiang Zhang
5. Mark Anderson
6. Tao Lei
7. Yiming Cui
8. David Vilares
9. Carlos Gómez-Rodríguez
10. Junru Zhou

Papers from Zhao Hai's perspective

Ordered by how strongly the researchers Zhao Hai 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
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: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Dual Co-Matching Network for Multi-choice Reading Comprehension (2019) — 138 citations
• Semantics-aware BERT for Language Understanding (2019) — 401 citations
• Modeling Multi-turn Conversation with Deep Utterance Aggregation (2018) — 256 citations
• Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies (2009) — 72 citations
• Lattice-Based Transformer Encoder for Neural Machine Translation (2019) — 45 citations
• Hierarchical Contextualized Representation for Named Entity Recognition (2019) — 141 citations
• Head-Driven Phrase Structure Grammar Parsing on Penn Treebank (2019) — 155 citations
• Effective Subword Segmentation for Text Comprehension (2018) — 30 citations
• Subword-augmented Embedding for Cloze Reading Comprehension (2018) — 32 citations
• I Know What You Want: Semantic Learning for Text Comprehension (2018) — 21 citations
• Word embedding for recurrent neural network based TTS synthesis (2015) — 57 citations