Ling Chen

Artificial Intelligence · with Han · 2013–2023

A researcher in the Science corpus: 5 papers; trusts 120 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it
• Computer Vision and Pattern Recognition — 71 citations into it
• Computational Mechanics — 51 citations into it
• Information Systems — 19 citations into it; #7,794 of 8,771 by trust here, #5,942 by citations
• Optimization & Training — 19 citations into it
• Speech & Audio — 13 citations into it
• Management Science and Operations Research — 11 citations into it
• Statistical Learning Theory — 9 citations into it

Whom Ling Chen trusts overall

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

1. L. Eon Bottou
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yann LeCun
7. Kaiming He
8. Ilya Sutskever
9. Ronan Collobert
10. Yurii E. Nesterov

Who trusts Ling Chen overall

1. Charu C. Aggarwal

Papers from Ling Chen's perspective

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

Their papers

• One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization (2023) — 717 citations
• AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN (2020) — 27 citations
• Privacy-Preserving Stochastic Gradual Learning (2018) — 9 citations
• On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent (2016) — 22 citations
• LCARS: a location-content-aware recommender system (2013) — 377 citations