Jitong Chen
Artificial Intelligence · 2016–2024
A researcher in the Science corpus: 7 papers; trusts 200 researchers and is trusted by 136 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 165 citations into it; #2,275 of 35,345 by trust here, #3,487 by citations
- Signal Processing — 138 citations into it; #183 of 7,572 by trust here, #217 by citations
- Speech & Audio — 72 citations into it; #625 of 1,076 by trust here, #305 by citations
- Computer Vision and Pattern Recognition — 58 citations into it
- Natural Language Processing — 49 citations into it; #802 of 5,688 by trust here, #1,262 by citations
- Model Architectures — 40 citations into it
- Cognitive Neuroscience — 26 citations into it
- Computational Mechanics — 25 citations into it
Whom Jitong Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Graves
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Aäron van den Oord
- Kaiming He
- Jimmy Ba
Who trusts Jitong Chen overall
- Ke Tan
- Deliang Wang
- Ashutosh Pandey
- Xu Tan
- Kilian Schulze-Forster
- Wei Ping
- Kainan Peng
- Ruohan Gao
- Xin Eric Wang
- Junichi Yamagishi
Papers from Jitong Chen's perspective
Ordered by how strongly the researchers Jitong Chen 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Exploring neural transducers for end-to-end speech recognition (2017) — 234 citations
- ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech (2018) — 365 citations
- Neural Voice Cloning with a Few Samples (2018) — 443 citations
- Seed-TTS: A Family of High-Quality Versatile Speech Generation Models (2024) — 395 citations
- Gated Residual Networks with Dilated Convolutions for Supervised Speech Separation (2018) — 56 citations
- Supervised Speech Separation Based on Deep Learning: An Overview (2017) — 1,601 citations
- Long Short-Term Memory for Speaker Generalization in Supervised Speech Separation (2016) — 251 citations