Yifan Hu
Artificial Intelligence · with Chen · 2006–2017
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 112 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Information Systems — 12 citations into it; #160 of 8,771 by trust here, #320 by citations
- Representation & Self-Supervised Learning — 12 citations into it
- Graph Learning — 9 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
- Computational Theory and Mathematics — 6 citations into it; #1,950 of 12,182 by trust here, #2,298 by citations
Whom Yifan Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chris Walshaw
- Roger Fletcher
- Stefan Hachul
- Thomas Hofmann
- Michael Jünger
- Y. Saad
- Timothy A. Davis
- Ron Davidson
- Jonathan L. Herlocker
- Badrul Munir Sarwar
Who trusts Yifan Hu overall
- Harald Steck
- Hao Wang
- Ruining He
- Julian McAuley
- Steffen Rendle
- Dawen Liang
- Weike Pan
- Xiangnan He
- Stephen G. Kobourov
- Mathieu Jacomy
Papers from Yifan Hu's perspective
Ordered by how strongly the researchers Yifan Hu 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- HARP: Hierarchical Representation Learning for Networks (2017) — 392 citations
- Collaborative Filtering for Implicit Feedback Datasets (2008) — 3,563 citations
- The university of Florida sparse matrix collection (2011) — 4,362 citations
- Efficient, High-Quality Force-Directed Graph Drawing (2006) — 775 citations