Zhehuai Chen
Artificial Intelligence · with Mengibar · 2020–2023
A researcher in the Science corpus: 6 papers; trusts 79 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 170 citations into it; #34,851 of 35,345 by trust here, #19,439 by citations
- Speech & Audio — 113 citations into it; #1,049 of 1,076 by trust here, #680 by citations
- Signal Processing — 79 citations into it
- Natural Language Processing — 50 citations into it
- Representation & Self-Supervised Learning — 32 citations into it
- Computer Vision and Pattern Recognition — 27 citations into it
- Model Architectures — 14 citations into it
Whom Zhehuai Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Yu Zhang
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Quoc V. Le
- Daniel S. Park
- William Chan
Who trusts Zhehuai Chen overall
- Yu Zhang
- Zi-Hua Zhang
- Ankur Bapna
- Junyi Ao
- Long Zhou
- Alec Radford
- Soumi Maiti
- Wei Han
- Andrew Rosenberg
Papers from Zhehuai Chen's perspective
Ordered by how strongly the researchers Zhehuai 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Semi-Supervision in ASR: Sequential MixMatch and Factorized TTS-Based Augmentation (2021) — 17 citations
- Improving Speech Recognition Using Consistent Predictions on Synthesized Speech (2020) — 54 citations
- Injecting Text in Self-Supervised Speech Pretraining (2021) — 39 citations
- Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages (2023) — 396 citations
- MAESTRO: Matched Speech Text Representations through Modality Matching (2022) — 125 citations
- Tts4pretrain 2.0: Advancing the use of Text and Speech in ASR Pretraining with Consistency and Contrastive Losses (2022) — 28 citations