Xiaohua Liu
Artificial Intelligence · Annual Meeting of the Association for Computational Linguistics · 2011–2017
A researcher in the Science corpus: 7 papers; trusts 131 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 109 citations into it; #6,070 of 35,345 by trust here, #5,153 by citations
- Natural Language Processing — 99 citations into it; #1,265 of 5,688 by trust here, #1,286 by citations
- Computer Vision and Pattern Recognition — 40 citations into it; #13,067 of 21,575 by trust here, #8,831 by citations
- Model Architectures — 27 citations into it
- Optimization & Training — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Xiaohua Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Collins
- Yoshua Bengio
- Kyunghyun Cho
- Ilya Sutskever
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Philipp Koehn
- Franz Joseph Och
- Christopher D. Manning
- Diederik P. Kingma
Who trusts Xiaohua Liu overall
- Chenliang Li
- Alan Ritter
- Edgar Meij
- Qi Zhang
- Philipp Koehn
- Aixin Sun
- Zhaopeng Tu
- Mausam
- Anastasia Giahanou
- Sam Clark
Papers from Xiaohua Liu's perspective
Ordered by how strongly the researchers Xiaohua Liu 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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)
Their papers
- Modeling Coverage for Neural Machine Translation (2016) — 778 citations
- Neural Machine Translation with Reconstruction (2016) — 210 citations
- Chunk-Based Bi-Scale Decoder for Neural Machine Translation (2017) — 20 citations
- Coverage-based Neural Machine Translation (2016) — 69 citations
- Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach (2011) — 481 citations
- Target-dependent Twitter Sentiment Classification (2011) — 1,112 citations
- Recognizing Named Entities in Tweets (2011) — 479 citations