Shengjie Wang

Artificial Intelligence · 2012–2022

A researcher in the Science corpus: 6 papers; trusts 210 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it
• Computer Vision and Pattern Recognition — 66 citations into it
• Model Architectures — 31 citations into it
• Meta & Continual Learning — 27 citations into it
• Signal Processing — 22 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Optimization & Training — 18 citations into it
• Safety, Robustness & Interpretability — 14 citations into it

Whom Shengjie Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Yann LeCun
6. Yoshua Bengio
7. Andrew Zisserman
8. Diederik P. Kingma
9. Ilya Sutskever
10. Alex Graves

Who trusts Shengjie Wang overall

1. David Jurgens
2. Rahul G. Krishnan
3. Shuai Li
4. Wei Gong
5. K. Jia

Papers from Shengjie Wang's perspective

Ordered by how strongly the researchers Shengjie Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Blending LSTMs into CNNs (2015) — 61 citations
• Retrospective Adversarial Replay for Continual Learning (2022) — 54 citations
• Bias Also Matters: Bias Attribution for Deep Neural Network Explanation (2019) — 42 citations
• Analysis of Deep Neural Networks with Extended Data Jacobian Matrix (2016) — 38 citations
• Do Deep Convolutional Nets Really Need to be Deep and Convolutional? (2016) — 259 citations
• Towards social user profiling: unified and discriminative influence model for inferring home locations (2012) — 354 citations