Bowen Shi
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 11 papers; trusts 313 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 299 citations into it
- Signal Processing — 232 citations into it; #7,495 of 7,572 by trust here, #2,457 by citations
- Speech & Audio — 206 citations into it
- Computer Vision and Pattern Recognition — 137 citations into it
- Generative Models — 66 citations into it
- Representation & Self-Supervised Learning — 57 citations into it
- Natural Language Processing — 51 citations into it
- Evaluation & Benchmarks — 45 citations into it
Whom Bowen Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Alex Graves
- Jimmy Ba
- Ilya Sutskever
- Yann LeCun
- Oriol Vinyals
Who trusts Bowen Shi overall
Papers from Bowen Shi's perspective
Ordered by how strongly the researchers Bowen Shi 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale (2023) — 551 citations
- Audiobox: Unified Audio Generation with Natural Language Prompts (2023) — 175 citations
- Movie Gen: A Cast of Media Foundation Models (2024) — 592 citations
- Scaling Speech Technology to 1, 000+ Languages (2023) — 691 citations
- Generative Pre-training for Speech with Flow Matching (2023) — 72 citations
- EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis (2023) — 130 citations
- ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement (2022) — 15 citations
- Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction (2022) — 490 citations
- On the Contributions of Visual and Textual Supervision in Low-resource Semantic Speech Retrieval (2019) — 12 citations
- Semi-supervised Acoustic Event Detection Based on Tri-training (2019) — 19 citations
- Compression of Acoustic Event Detection Models With Quantized Distillation (2019) — 14 citations