Xin Wang
Information Systems · with Ester · 2015–2016
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 38 citations into it
- Artificial Intelligence — 24 citations into it
- Recommender Systems — 22 citations into it
- Management Science and Operations Research — 13 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Marketing — 7 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Xin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yehuda Koren
- Ruslan Salakhutdinov
- Mohsen Jamali
- Andriy Mnih
- Steffen Rendle
- Gediminas Adomavicius
- Martin Ester
- Yifan Hu
- Lada A. Adamic
- David Liben-Nowell
Who trusts Xin Wang overall
Papers from Xin Wang's perspective
Ordered by how strongly the researchers Xin Wang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation (2015) — 59 citations
- Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization (2016) — 51 citations
- Social Recommendation with Strong and Weak Ties (2016) — 151 citations