Guolei Yang
Information Systems · with Gong · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 31 citations into it; #4,731 of 8,771 by trust here, #4,341 by citations
- Artificial Intelligence — 13 citations into it; #34,689 of 35,345 by trust here, #27,551 by citations
- Recommender Systems — 12 citations into it; #165 of 233 by trust here, #164 by citations
- Computer Networks and Communications — 10 citations into it; #6,181 of 9,886 by trust here, #4,757 by citations
- Management Science and Operations Research — 8 citations into it; #9,772 of 11,946 by trust here, #7,638 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
- Marketing — 6 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Guolei Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Neil Zhenqiang Gong
- Gediminas Adomavicius
- Bamshad Mobasher
- Jesús Bobadilla
- Yehuda Koren
- James Davidson
- Alexander Tuzhilin
- Paul Resnick
- Alan M. Frieze
- Lars Backstrom
Who trusts Guolei Yang overall
- Xiaoyu Cao
- Neil Zhenqiang Gong
- Minghong Fang
- Binghui Wang
- Hongbin Liu
- Vale Tolpegin
- Jinyuan Jia
- Lichao Sun
Papers from Guolei Yang's perspective
Ordered by how strongly the researchers Guolei Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Item-based collaborative filtering recommendation algorithms
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Emergence of Scaling in Random Networks
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
Their papers
- Fake Co-visitation Injection Attacks to Recommender Systems (2017) — 129 citations
- Poisoning Attacks to Graph-Based Recommender Systems (2018) — 233 citations