Mingyang Zhang
Artificial Intelligence · with Li · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it; #14,716 of 35,345 by trust here, #14,438 by citations
- Speech & Audio — 38 citations into it; #647 of 1,076 by trust here, #667 by citations
- Signal Processing — 36 citations into it; #3,378 of 7,572 by trust here, #2,221 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Model Architectures — 6 citations into it
Whom Mingyang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Cheng Hsu
- Aäron van den Oord
- Diederik P. Kingma
- Dzmitry Bahdanau
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Graves
- Hsin-Te Hwang
- Oriol Vinyals
- Alex Krizhevsky
Who trusts Mingyang Zhang overall
- Berrak Sisman
- Xu Tan
- Kun Zhou
- Junichi Yamagishi
- Andros Tjandra
- Haizhou Li
- Rui Liu
- Yi-Chen Chen
- Tao Qin
- Simon King
Papers from Mingyang Zhang's perspective
Ordered by how strongly the researchers Mingyang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019 (2019) — 76 citations
- Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet (2019) — 59 citations
- Adaptive Wavenet Vocoder for Residual Compensation in GAN-Based Voice Conversion (2018) — 38 citations