Nathan Nan Liu
Information Systems · 2008–2014
A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 33 citations into it; #620 of 8,771 by trust here, #471 by citations
- Artificial Intelligence — 23 citations into it; #10,277 of 35,345 by trust here, #6,848 by citations
- Computer Vision and Pattern Recognition — 12 citations into it; #6,674 of 21,575 by trust here, #14,151 by citations
- Recommender Systems — 10 citations into it; #107 of 233 by trust here, #54 by citations
- Signal Processing — 10 citations into it
- Information Retrieval & Search — 8 citations into it
- Management Science and Operations Research — 7 citations into it; #10,318 of 11,946 by trust here, #6,563 by citations
Whom Nathan Nan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Resnick
- Thorsten Joachims
- Thomas Hofmann
- Taher H. Haveliwala
- Matthew Richardson
- Kalervo Järvelin
- Glen Jeh
- J. Breese
- William W. Cohen
- Hao Ma
Who trusts Nathan Nan Liu overall
- Hao Ma
- Yue Shi
- Steffen Rendle
- Weike Pan
- Irwin King
- Michael R. Lyu
- Martha A. Larson
- Ruining He
- Zibin Zheng
- Lei Chen
Papers from Nathan Nan Liu's perspective
Ordered by how strongly the researchers Nathan Nan Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- One-Class Collaborative Filtering (2008) — 1,084 citations
- Beyond clicks: dwell time for personalization (2014) — 283 citations
- Transfer Learning in Collaborative Filtering for Sparsity Reduction (2010) — 409 citations
- EigenRank: a ranking-oriented approach to collaborative filtering (2008) — 315 citations