Chengjiang Long

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Model Architectures — 13 citations into it
• Automotive Engineering — 9 citations into it
• Generative Models — 5 citations into it

Whom Chengjiang Long trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Jimmy Ba
7. Sergey Ioffe
8. Christian Szegedy
9. Yann LeCun
10. Ilya Sutskever

Papers from Chengjiang Long's perspective

Ordered by how strongly the researchers Chengjiang Long 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction (2021) — 359 citations
• SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction (2021) — 365 citations