Zongheng Yang
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 7 papers; trusts 20 researchers and is trusted by 65 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 82 citations into it; #3,849 of 35,345 by trust here, #1,033 by citations
- Natural Language Processing — 43 citations into it; #1,613 of 5,688 by trust here, #384 by citations
- Computer Vision and Pattern Recognition — 38 citations into it
- Signal Processing — 35 citations into it
- Speech & Audio — 31 citations into it; #159 of 1,076 by trust here, #26 by citations
- Model Architectures — 20 citations into it; #1,217 of 2,278 by trust here, #264 by citations
- Computer Networks and Communications — 17 citations into it
- Information Systems — 16 citations into it
Whom Zongheng Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Chih-Jen Lin
- Yoshua Bengio
- Bradley Efron
- Muthu Dayalan
- Ilya Sutskever
- Richard S. Sutton
- Abhishek Verma
- Alex Krizhevsky
Who trusts Zongheng Yang overall
Papers from Zongheng Yang's perspective
Ordered by how strongly the researchers Zongheng Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Tacotron: Towards End-to-End Speech Synthesis (2017) — 2,067 citations
- Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling (2019) — 215 citations
- Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions (2017) — 3,120 citations
- Learning to Optimize Join Queries With Deep Reinforcement Learning (2018) — 250 citations
- SkyPilot: An Intercloud Broker for Sky Computing (2023) — 123 citations
- Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model (2017) — 255 citations
- Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics (2016) — 520 citations