Chengqi Zhao
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 5 papers; trusts 94 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 138 citations into it
- Computer Vision and Pattern Recognition — 88 citations into it
- Natural Language Processing — 84 citations into it
- Signal Processing — 32 citations into it
- Evaluation & Benchmarks — 22 citations into it
- Model Architectures — 14 citations into it
- Efficiency & Compression — 12 citations into it
- Optimization & Training — 9 citations into it
Whom Chengqi Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Rico Sennrich
- Ilya Sutskever
- Jimmy Ba
- Alex Krizhevsky
- Yann LeCun
- Ashish Vaswani
- Kyunghyun Cho
Papers from Chengqi Zhao's perspective
Ordered by how strongly the researchers Chengqi Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- 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)
Their papers
- Towards Making the Most of BERT in Neural Machine Translation (2019) — 167 citations
- WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research (2023) — 418 citations
- GigaST: A 10, 000-hour Pseudo Speech Translation Corpus (2022) — 30 citations
- Counter-Interference Adapter for Multilingual Machine Translation (2021) — 78 citations
- Finding Sparse Structures for Domain Specific Neural Machine Translation (2021) — 33 citations