Hongyu Gong
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 7 papers; trusts 93 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 158 citations into it; #17,320 of 35,345 by trust here, #9,557 by citations
- Natural Language Processing — 98 citations into it
- Speech & Audio — 62 citations into it
- Representation & Self-Supervised Learning — 37 citations into it
- Signal Processing — 36 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it
- Evaluation & Benchmarks — 26 citations into it; #2,022 of 3,147 by trust here, #1,795 by citations
- Molecular Biology — 5 citations into it
Whom Hongyu Gong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Holger Schwenk
- Geoffrey E. Hinton
- Yoshua Bengio
- Changhan Wang
- Mikel Artetxe
- Diederik P. Kingma
- Philipp Koehn
- Alex Graves
- Ilya Sutskever
- Alex Krizhevsky
Who trusts Hongyu Gong overall
- Ye Jia
- Paul-Ambroise Duquenne
- Qianqian Dong
- Rongjie Huang
- Ann Lee
- Zewen Chi
- Holger Schwenk
- Michelle Tadmor Ramanovich
Papers from Hongyu Gong's perspective
Ordered by how strongly the researchers Hongyu Gong trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Long Short-Term Memory
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia (2019) — 443 citations
- Textless Speech-to-Speech Translation on Real Data (2021) — 187 citations
- Seamless: Multilingual Expressive and Streaming Speech Translation (2023) — 299 citations
- SeamlessM4T: Massively Multilingual&Multimodal Machine Translation (2023) — 202 citations
- SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations (2022) — 49 citations
- Direct simultaneous speech to speech translation (2021) — 9 citations
- Multimodal and Multilingual Embeddings for Large-Scale Speech Mining (2021) — 42 citations