Xiao Li
Artificial Intelligence · with Acero · 2008–2013
A researcher in the Science corpus: 3 papers; trusts 124 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 81 citations into it; #12,378 of 35,345 by trust here, #14,181 by citations
- Signal Processing — 51 citations into it; #2,452 of 7,572 by trust here, #2,990 by citations
- Natural Language Processing — 22 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Speech & Audio — 16 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Information Systems — 9 citations into it
Whom Xiao Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Li Deng
- Michael Collins
- Geoffrey E. Hinton
- Dong Yu
- Yoshua Bengio
- Martin Szummer
- Tommi S. Jaakkola
- Sunita Sarawagi
- Andrew McCallum
- Yann LeCun
Who trusts Xiao Li overall
- Li Deng
- Jian Hu
- Yun Sang Park
- Yingwei Pan
- Haizhou Li
- Zhiyuan Chen
- Yuxi Li
- Xuerui Yang
- Tongshuang Sherry Wu
- Stephen J. Wright
Papers from Xiao Li's perspective
Ordered by how strongly the researchers Xiao Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- 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
- Machine Learning Paradigms for Speech Recognition: An Overview (2013) — 413 citations
- Learning query intent from regularized click graphs (2008) — 389 citations
- Understanding the Semantic Structure of Noun Phrase Queries (2010) — 95 citations