Han Lu

Artificial Intelligence · with Sak · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #29,818 of 35,345 by trust here, #14,438 by citations
• Signal Processing — 16 citations into it
• Model Architectures — 15 citations into it; #2,085 of 2,278 by trust here, #1,343 by citations
• Speech & Audio — 12 citations into it; #988 of 1,076 by trust here, #570 by citations

Whom Han Lu trusts overall

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

1. Alex Graves
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. Hasim Sak
7. Linhao Dong
8. J. Urgen Schmidhuber
9. Ilya Sutskever
10. Dzmitry Bahdanau

Who trusts Han Lu overall

1. Rohit Prabhavalkar
2. Jinyu Li
3. Yu Zhang
4. Wei Han
5. Quentin Fournier

Papers from Han Lu's perspective

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

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

Their papers

• Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss (2020) — 539 citations
• Monotonic Recurrent Neural Network Transducer and Decoding Strategies (2019) — 51 citations