Tianyang Zhang
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 117 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 124 citations into it; #26,065 of 35,345 by trust here, #8,007 by citations
- Natural Language Processing — 90 citations into it
- Computer Vision and Pattern Recognition — 66 citations into it
- Information Retrieval & Search — 17 citations into it
- Model Architectures — 17 citations into it
- Political Science and International Relations — 14 citations into it
- Large Language Models — 10 citations into it
Whom Tianyang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Graves
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Oriol Vinyals
- Sepp Hochreiter
- Yann LeCun
Who trusts Tianyang Zhang overall
Papers from Tianyang Zhang's perspective
Ordered by how strongly the researchers Tianyang 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory (2017) — 808 citations
- How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence (2020) — 435 citations
- JEC-QA: A Legal-Domain Question Answering Dataset (2019) — 220 citations
- CE-Net: Context Encoder Network for 2D Medical Image Segmentation (2019) — 2,080 citations
- CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain (2019) — 82 citations