Fangtao Li
Artificial Intelligence · 2010–2012
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #15,812 of 35,345 by trust here, #20,377 by citations
- Natural Language Processing — 10 citations into it
- Information Systems — 6 citations into it; #3,053 of 8,771 by trust here, #4,188 by citations
- Representation & Self-Supervised Learning — 5 citations into it
Whom Fangtao Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ellen Riloff
- Minqing Hu
- Bing Liu
- Hal Daumé Iii
- Peter D. Turney
- Jon M. Kleinberg
- Bo Pang
- Guang Qiu
- Jing Jiang
- Rie Kubota Ando
Who trusts Fangtao Li overall
- Arjun Mukherjee
- B. Liu
- Shebuti Rayana
- Kumar Ravi
- Tommaso Fornaciari
- Ammar Mohammed
- Lei Zhang
- Meishan Zhang
- Sinno Jialin Pan
- Wenya Wang
Papers from Fangtao Li's perspective
Ordered by how strongly the researchers Fangtao Li 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Cross-Domain Co-Extraction of Sentiment and Topic Lexicons (2012) — 212 citations
- Learning to Identify Review Spam (2011) — 437 citations
- Structure-Aware Review Mining and Summarization (2010) — 361 citations