Xiaofang Zhou
Artificial Intelligence · 2007–2019
A researcher in the Science corpus: 12 papers; trusts 96 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 86 citations into it; #26,693 of 35,345 by trust here, #13,163 by citations
- Signal Processing — 76 citations into it; #3,302 of 7,572 by trust here, #2,052 by citations
- Information Systems — 66 citations into it
- Computer Vision and Pattern Recognition — 61 citations into it; #11,071 of 21,575 by trust here, #10,905 by citations
- Transportation — 39 citations into it; #643 of 2,062 by trust here, #473 by citations
- Computer Networks and Communications — 35 citations into it
- Model Architectures — 15 citations into it
- Management Science and Operations Research — 14 citations into it
Whom Xiaofang Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Latanya Sweeney
- Panos Kalnis
- Gabriel Ghinita
- Yu Zheng
- Martin Ester
- Bugra Gedik
- Geoffrey E. Hinton
- Zheng Zhao
- Lawrence R. Rabiner
- Andrew Y. Ng
Who trusts Xiaofang Zhou overall
Papers from Xiaofang Zhou's perspective
Ordered by how strongly the researchers Xiaofang Zhou 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Infrared Patch-Image Model for Small Target Detection in a Single Image (2013) — 1,179 citations
- Graph Contextualized Self-Attention Network for Session-based Recommendation (2019) — 703 citations
- Feature-level Deeper Self-Attention Network for Sequential Recommendation (2019) — 458 citations
- Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation (2019) — 478 citations
- Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection (2014) — 314 citations
- Unsupervised Feature Selection Using Nonnegative Spectral Analysis (2012) — 541 citations
- - Norm Regularized Discriminative Feature Selection for Unsupervised Learning (2011)
- Discovering popular routes from trajectories (2011) — 390 citations
- Computing with Spatial Trajectories (2011) — 612 citations
- A Hybrid Prediction Model for Moving Objects (2008) — 308 citations
- Discovery of convoys in trajectory databases (2008) — 497 citations
- Spark: top-k keyword query in relational databases (2007) — 308 citations