Fei Liu
Physiology · IEEE transactions on industrial electronics (1982. Print) · 2004–2019
A researcher in the Science corpus: 13 papers; trusts 43 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Physiology — 47 citations into it; #1,166 of 2,276 by trust here, #1,018 by citations
- Artificial Intelligence — 40 citations into it; #12,234 of 35,345 by trust here, #12,387 by citations
- Molecular Biology — 36 citations into it; #11,713 of 17,773 by trust here, #8,480 by citations
- Natural Language Processing — 30 citations into it; #3,785 of 5,688 by trust here, #5,214 by citations
- Cellular and Molecular Neuroscience — 20 citations into it
- Electrical and Electronic Engineering — 20 citations into it; #7,127 of 16,539 by trust here, #7,640 by citations
- Computational Theory and Mathematics — 14 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Fei Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jason Aaron Edward Weston
- Geoffrey E. Hinton
- Alex Graves
- Jason Williams
- Yoshua Bengio
- Zoubin Ghahramani
- Matthew Henderson
- L. V. D. van der Maaten
- Diederik P. Kingma
- Michael I. Jordan
Who trusts Fei Liu overall
- Sandeep Attree
- K. Iqbal
- Puyang Xu
- Yuval Varkel
- Nikola Mrksic
- Ludovic Martin
- Vid Kocijan
- Qi Hu
- Alex Wang
- Amir Globerson
Papers from Fei Liu's perspective
Ordered by how strongly the researchers Fei Liu 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- The Referential Reader: A Recurrent Entity Network for Anaphora Resolution (2019) — 19 citations
- Dialog state tracking, a machine reading approach using Memory Network (2016) — 59 citations
- A Variable Step Size INC MPPT Method for PV Systems (2008) — 1,393 citations
- Tau and neurodegenerative disease: the story so far (2016) — 720 citations
- Mechanisms of tau-induced neurodegeneration (2009) — 645 citations
- Analysis and Improvement of Maximum Power Point Tracking Algorithm Based on Incremental Conductance Method for Photovoltaic Array (2007) — 189 citations
- O-GlcNAcylation regulates phosphorylation of tau: a mechanism involved in Alzheimer's disease. (2004) — 755 citations
- Contributions of protein phosphatases PP1, PP2A, PP2B and PP5 to the regulation of tau phosphorylation (2005) — 769 citations
- Tau pathology in Alzheimer disease and other tauopathies. (2005) — 1,058 citations
- Online adaptive optimal control for continuous-time Markov jump linear systems using a novel policy iteration algorithm (2015) — 50 citations
- Observer‐based H ∞ control on nonhomogeneous Markov jump systems with nonlinear input (2014) — 59 citations
- Multiple model approach to nonlinear system identification with an uncertain scheduling variable using EM algorithm (2013) — 61 citations
- Tau in Alzheimer Disease and Related Tauopathies (2010) — 1,034 citations