Yan Lu
Signal Processing · with Peng · 2005–2022
A researcher in the Science corpus: 6 papers; trusts 278 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 77 citations into it; #6,926 of 7,572 by trust here, #5,570 by citations
- Artificial Intelligence — 72 citations into it; #14,389 of 35,345 by trust here, #8,619 by citations
- Computer Vision and Pattern Recognition — 62 citations into it
- Speech & Audio — 41 citations into it
- Representation & Self-Supervised Learning — 18 citations into it
- Computational Mechanics — 17 citations into it
- Model Architectures — 10 citations into it
- Electrical and Electronic Engineering — 6 citations into it
Whom Yan Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Karen Simonyan
- Alex Krizhevsky
- Yoshua Bengio
- Oriol Vinyals
- Diederik P. Kingma
- Yann LeCun
- Ross B. Girshick
- Jimmy Ba
Who trusts Yan Lu overall
Papers from Yan Lu's perspective
Ordered by how strongly the researchers Yan Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Relational Knowledge Distillation (2019) — 1,966 citations
- Rate-distortion analysis for H.264/AVC video coding and its application to rate control (2005) — 355 citations
- Disentangled Feature Learning for Real-Time Neural Speech Coding (2022) — 22 citations
- End-to-End Neural Speech Coding for Real-Time Communications (2022) — 39 citations
- Cross-Scale Vector Quantization for Scalable Neural Speech Coding (2022) — 12 citations
- Interactive Speech and Noise Modeling for Speech Enhancement (2020) — 114 citations