Mingbo Ma

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 10 papers; trusts 179 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 145 citations into it; #16,817 of 35,345 by trust here, #10,207 by citations
• Natural Language Processing — 97 citations into it; #5,566 of 5,688 by trust here, #3,897 by citations
• Speech & Audio — 48 citations into it; #919 of 1,076 by trust here, #738 by citations
• Computer Vision and Pattern Recognition — 45 citations into it; #19,336 of 21,575 by trust here, #17,757 by citations
• Signal Processing — 37 citations into it
• Model Architectures — 26 citations into it; #2,234 of 2,278 by trust here, #2,078 by citations
• Evaluation & Benchmarks — 19 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Mingbo Ma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Kaiming He
5. Diederik P. Kingma
6. Dzmitry Bahdanau
7. Yann LeCun
8. Alex Graves
9. Alex Krizhevsky
10. Kyunghyun Cho

Who trusts Mingbo Ma overall

1. Desmond Elliott
2. Xutai Ma
3. Colin Cherry
4. Devang S. Ram Mohan
5. Matthew R. Gormley
6. Brooke Stephenson
7. Yoav Goldberg
8. Dani Yogatama
9. Renjie Zheng
10. Hairong Liu

Papers from Mingbo Ma's perspective

Ordered by how strongly the researchers Mingbo Ma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Dependency-based Convolutional Neural Networks for Sentence Embedding (2015) — 121 citations
• Robust Neural Machine Translation with Joint Textual and Phonetic Embedding (2018) — 60 citations
• Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation (2021) — 76 citations
• Textual Entailment with Structured Attentions and Composition (2016) — 29 citations
• STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework (2018) — 323 citations
• OSU Multimodal Machine Translation System Report (2017) — 15 citations
• STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency (2018) — 31 citations
• A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing (2022) — 66 citations
• MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation (2020) — 21 citations
• Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework (2019) — 36 citations