Guoguo Chen
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 6 papers; trusts 33 researchers and is trusted by 462 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it; #797 of 35,345 by trust here, #1,433 by citations
- Speech & Audio — 45 citations into it; #174 of 1,076 by trust here, #193 by citations
- Signal Processing — 44 citations into it; #78 of 7,572 by trust here, #92 by citations
- Model Architectures — 19 citations into it; #1,426 of 2,278 by trust here, #1,092 by citations
- Natural Language Processing — 19 citations into it
- Evaluation & Benchmarks — 8 citations into it; #102 of 3,147 by trust here, #207 by citations
Whom Guoguo Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel Povey
- Geoffrey E. Hinton
- Alex Graves
- George E. Dahl
- Andreas Stolcke
- Yoshua Bengio
- Dong Yu
- Navdeep Jaitly
- Quoc V. Le
- Ronald J. Williams
Who trusts Guoguo Chen overall
- Wei-Ning Hsu
- Yu-An Chung
- Yu Zhang
- Mirco Ravanelli
- James R. Glass
- Ronan Collobert
- Gabriel Synnaeve
- Yoshua Bengio
- Alexei Baevski
- Tara N. Sainath
Papers from Guoguo Chen's perspective
Ordered by how strongly the researchers Guoguo Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Librispeech: An ASR corpus based on public domain audio books (2015) — 8,192 citations
- Highway long short-term memory RNNS for distant speech recognition (2015) — 297 citations
- GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10, 000 Hours of Transcribed Audio (2021) — 607 citations
- JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS (2015) — 115 citations
- Small-footprint keyword spotting using deep neural networks (2014) — 589 citations
- MUSAN: A Music, Speech, and Noise Corpus (2015) — 1,702 citations