Hande Dong
Information Systems · 2020
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Information Systems — 53 citations into it; #8,339 of 8,771 by trust here, #4,885 by citations
- Artificial Intelligence — 50 citations into it
- Management Science and Operations Research — 31 citations into it; #11,591 of 11,946 by trust here, #5,787 by citations
- Safety, Robustness & Interpretability — 18 citations into it
- Safety Research — 14 citations into it
- Sociology and Political Science — 11 citations into it
- Marketing — 10 citations into it
Whom Hande Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Harald Steck
- Thorsten Joachims
- Sirui Yao
- Xiangnan He
- Alexandra Chouldechova
- Christopher C. Johnson
- Steffen Rendle
- Yehuda Koren
- Adith Swaminathan
- Geoffrey E. Hinton
Who trusts Hande Dong overall
Papers from Hande Dong's perspective
Ordered by how strongly the researchers Hande Dong 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- 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
- Bias and Debias in Recommender System: A Survey and Future Directions (2020) — 923 citations