Xia Ning
Information Systems · 2011–2013
A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 51 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 24 citations into it; #312 of 8,771 by trust here, #1,392 by citations
- Artificial Intelligence — 12 citations into it; #7,354 of 35,345 by trust here, #13,962 by citations
- Recommender Systems — 12 citations into it; #39 of 233 by trust here, #154 by citations
- Computer Vision and Pattern Recognition — 9 citations into it; #4,696 of 21,575 by trust here, #11,950 by citations
- Management Science and Operations Research — 8 citations into it; #595 of 11,946 by trust here, #1,507 by citations
- Optimization & Training — 8 citations into it
- Marketing — 7 citations into it
- Signal Processing — 6 citations into it
Whom Xia Ning trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yehuda Koren
- Thomas Hofmann
- Yifan Hu
- Patrik O. Hoyer
- Jason D. M. Rennie
- Nati Srebro
- Robert Tibshirani
- George Karypis
- Arkadiusz Paterek
- Paolo Cremonesi
Who trusts Xia Ning overall
- Christian Desrosiers
- George Karypis
- Harald Steck
- Ruining He
- Xiangnan He
- Dawen Liang
- Julian McAuley
- Weike Pan
- Vito Bellini
- Rahul G. Krishnan
Papers from Xia Ning's perspective
Ordered by how strongly the researchers Xia Ning 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Regression Shrinkage and Selection via the Lasso
Their papers
- SLIM: Sparse Linear Methods for Top-N Recommender Systems (2011) — 774 citations
- FISM: factored item similarity models for top-N recommender systems (2013) — 732 citations
- Sparse linear methods with side information for top-n recommendations (2012) — 154 citations