Daisy Zhe Wang
Artificial Intelligence · 2008–2023
A researcher in the Science corpus: 7 papers; trusts 71 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it; #26,255 of 35,345 by trust here, #9,557 by citations
- Computer Vision and Pattern Recognition — 32 citations into it
- Natural Language Processing — 32 citations into it
- Information Systems — 27 citations into it; #6,011 of 8,771 by trust here, #1,515 by citations
- Management Science and Operations Research — 16 citations into it; #8,610 of 11,946 by trust here, #2,799 by citations
- Prompting & Reasoning — 15 citations into it
- Reinforcement Learning — 14 citations into it
- Information Retrieval & Search — 12 citations into it
Whom Daisy Zhe Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Diederik P. Kingma
- Geoffrey E. Hinton
- Andrew McCallum
- Yoshua Bengio
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Jia Deng
- Sepp Hochreiter
- Ilya Sutskever
Who trusts Daisy Zhe Wang overall
Papers from Daisy Zhe Wang's perspective
Ordered by how strongly the researchers Daisy Zhe Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Reasoning with Language Model is Planning with World Model (2023) — 1,077 citations
- WebTables: exploring the power of tables on the web (2008) — 765 citations
- Ten Years of WebTables (2018) — 66 citations
- DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs (2019) — 414 citations
- TutorialVQA: Question Answering Dataset for Tutorial Videos (2019) — 36 citations
- Multimodal Learning for Web Information Extraction (2017) — 18 citations
- The MADlib Analytics Library or MAD Skills, the SQL (2012) — 449 citations