Jitao Sang

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Information Systems — 22 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Jitao Sang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ruslan Salakhutdinov
4. Alex Krizhevsky
5. T. Griffiths
6. Radford M. Neal
7. Diederik P. Kingma
8. Yann LeCun
9. Michael I. Jordan
10. Ilya Sutskever

Who trusts Jitao Sang overall

1. Kaiye Wang

Papers from Jitao Sang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility (2023) — 108 citations
• Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation (2019) — 117 citations
• Latent feature learning in social media network (2013) — 33 citations