Fen Xia
Artificial Intelligence · 2008–2016
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #12,840 of 35,345 by trust here, #13,353 by citations
- Optimization & Training — 23 citations into it
- Computational Mechanics — 18 citations into it
- Information Systems — 5 citations into it
Whom Fen Xia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Tong Zhang
- Jun Xu
- Shai Shalev-Shwartz
- Martin Takác
- Yuchen Zhang
- Yisong Yue
- Hang Li
- Tianbao Yang
- Geoffrey E. Hinton
Who trusts Fen Xia overall
- Olivier Chapelle
- Jason Aaron Edward Weston
- Tie-Yan Liu
- Bhaskar Mitra
- Chenyan Xiong
- Rishabh Singh
- Mateusz Budnik
- Tao Qin
- Wei Gao
- Hang Li
Papers from Fen Xia's perspective
Ordered by how strongly the researchers Fen Xia trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Listwise approach to learning to rank: theory and algorithm (2008) — 920 citations
- A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization (2016) — 22 citations