Chengyi Wang
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 9 papers; trusts 79 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 314 citations into it; #18,456 of 35,345 by trust here, #4,682 by citations
- Signal Processing — 221 citations into it; #7,446 of 7,572 by trust here, #1,027 by citations
- Speech & Audio — 185 citations into it
- Computer Vision and Pattern Recognition — 58 citations into it
- Natural Language Processing — 54 citations into it
- Representation & Self-Supervised Learning — 54 citations into it
- Model Architectures — 40 citations into it
- Evaluation & Benchmarks — 31 citations into it
Whom Chengyi Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Oriol Vinyals
- Yann LeCun
- Karen Simonyan
Who trusts Chengyi Wang overall
- Sanyuan Chen
- Zhuo Chen
- Dongchao Yang
- Evgeny Kharitonov
- Dong Zhang
- Kai Shen
- Ziyue Jiang
- Jinyu Li
- Yu Wu
- Xin Zhang
Papers from Chengyi Wang's perspective
Ordered by how strongly the researchers Chengyi Wang 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)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing (2021) — 3,371 citations
- Unispeech-Sat: Universal Speech Representation Learning With Speaker Aware Pre-Training (2021) — 138 citations
- UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data (2021) — 143 citations
- Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling (2023) — 275 citations
- Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (2023) — 1,289 citations
- Continuous Speech Separation with Conformer (2020) — 151 citations
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale (2025) — 2,219 citations
- BEATs: Audio Pre-Training with Acoustic Tokenizers (2022) — 641 citations
- Semantic Mask for Transformer based End-to-End Speech Recognition (2019) — 53 citations