Hongfang Liu
Artificial Intelligence · 2008–2019
A researcher in the Science corpus: 8 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 106 citations into it
- Natural Language Processing — 35 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
Whom Hongfang Liu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov (in Natural Language Processing)
- Christopher D. Manning (in Artificial Intelligence)
Papers from Hongfang Liu's perspective
Ordered by how strongly the researchers Hongfang Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- GloVe: Global Vectors for Word Representation
- Natural Language Processing (Almost) from Scratch
- Visualizing Data using t-SNE
- Deep Learning
- Linguistic Regularities in Continuous Space Word Representations
- ImageNet classification with deep convolutional neural networks
- Learning Word Vectors for Sentiment Analysis
- Random Forests
- Long Short-Term Memory
Their papers
- Clinical Information Extraction Applications: A Literature Review (2017) — 856 citations
- The CHEMDNER corpus of chemicals and drugs and its annotation principles (2015) — 444 citations
- Overview of BioCreative II gene mention recognition (2008) — 541 citations
- Overview of BioCreative II gene normalization (2008) — 370 citations
- A Comparison of Word Embeddings for the Biomedical Natural Language Processing (2018) — 359 citations
- The digital revolution in phenotyping (2015) — 59 citations
- CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines (2017) — 343 citations
- A clinical text classification paradigm using weak supervision and deep representation (2019) — 336 citations