Shiyin Kang
Artificial Intelligence · 2013–2022
A researcher in the Science corpus: 10 papers; trusts 57 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 133 citations into it; #8,254 of 35,345 by trust here, #7,797 by citations
- Signal Processing — 85 citations into it; #1,442 of 7,572 by trust here, #1,820 by citations
- Speech & Audio — 75 citations into it
- Natural Language Processing — 62 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Shiyin Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Keiichi Tokuda
- Geoffrey E. Hinton
- Heiga Zen
- Diederik P. Kingma
- Yoshua Bengio
- Alex Graves
- Aäron van den Oord
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
Who trusts Shiyin Kang overall
- Li Deng
- Zhizheng Wu
- Zhenhua Ling
- Linghui Chen
- Dong Yu
- Yanfeng Lu
- Soumya Priyadarsini Panda
- Yuchen Fan
- Yishuang Ning
- Oliver Watts
Papers from Shiyin Kang's perspective
Ordered by how strongly the researchers Shiyin Kang 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
- Long Short-Term Memory
- 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)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Neural Network Language Modeling with Letter-Based Features and Importance Sampling (2018) — 72 citations
- Speech Super-Resolution Using Parallel WaveNet (2018) — 21 citations
- Multi-distribution deep belief network for speech synthesis (2013) — 110 citations
- DurIAN: Duration Informed Attention Network For Multimodal Synthesis (2019) — 119 citations
- Phonetic posteriorgrams for many-to-one voice conversion without parallel data training (2016) — 341 citations
- FullSubNet+: Channel Attention Fullsubnet with Complex Spectrograms for Speech Enhancement (2022) — 152 citations
- Code-Switched Speech Synthesis Using Bilingual Phonetic Posteriorgram with Only Monolingual Corpora (2020) — 22 citations
- On the localness modeling for the self-attention based end-to-end speech synthesis (2020) — 32 citations
- DurIAN: Duration Informed Attention Network for Speech Synthesis (2020) — 80 citations
- Maximizing Mutual Information for Tacotron (2019) — 16 citations