Qi Zhang
Artificial Intelligence · AAAI Conference on Artificial Intelligence · 2009–2021
A researcher in the Science corpus: 6 papers; trusts 111 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 82 citations into it; #15,692 of 35,345 by trust here, #15,004 by citations
- Natural Language Processing — 63 citations into it; #4,943 of 5,688 by trust here, #4,793 by citations
- Model Architectures — 20 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Information Systems — 11 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Management Science and Operations Research — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Qi Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jason Aaron Edward Weston
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Sepp Hochreiter
- Yann LeCun
- Karen Simonyan
- Alex Krizhevsky
- J. Urgen Schmidhuber
Who trusts Qi Zhang overall
- Aliaksei Severyn
- Jianfei Yu
- Ronen Feldman
- Jing Li
- Jing Jiang
- Yihuai Lan
- Iddo Drori
- Kevin Gimpel
- Wenya Wang
- Aixin Sun
Papers from Qi Zhang's perspective
Ordered by how strongly the researchers Qi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Phrase Dependency Parsing for Opinion Mining (2009) — 436 citations
- Math Word Problem Solving with Explicit Numerical Values (2021) — 62 citations
- A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving (2020) — 80 citations
- Simplify the Usage of Lexicon in Chinese NER (2019) — 304 citations
- Adaptive Co-attention Network for Named Entity Recognition in Tweets (2018) — 425 citations
- Mention Recommendation for Twitter with End-to-end Memory Network (2017) — 33 citations