Deyi Xiong
Artificial Intelligence · 2003–2023
A researcher in the Science corpus: 11 papers; trusts 423 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 348 citations into it; #6,607 of 35,345 by trust here, #7,606 by citations
- Natural Language Processing — 232 citations into it; #1,825 of 5,688 by trust here, #2,106 by citations
- Computer Vision and Pattern Recognition — 104 citations into it; #5,661 of 21,575 by trust here, #7,421 by citations
- Safety, Robustness & Interpretability — 69 citations into it
- Evaluation & Benchmarks — 68 citations into it
- Large Language Models — 50 citations into it
- Model Architectures — 46 citations into it; #1,160 of 2,278 by trust here, #1,693 by citations
- Signal Processing — 12 citations into it
Whom Deyi Xiong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Kyunghyun Cho
- Ilya Sutskever
- Geoffrey E. Hinton
- Quoc V. Le
- Philipp Koehn
- Jimmy Ba
- Dzmitry Bahdanau
- Alex Graves
Who trusts Deyi Xiong overall
- Ankur Bapna
- Bram Bulté
- Orhan Firat
- Arda Tezcan
- Angela Fan
- Biao Zhang
- Van-Khanh Tran
- Luca Soldaini
- Nabil Hossain
- Kellie Webster
Papers from Deyi Xiong's perspective
Ordered by how strongly the researchers Deyi Xiong 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Variational Neural Machine Translation (2016) — 209 citations
- Accelerating Neural Transformer via an Average Attention Network (2018) — 128 citations
- GEMv2: Multilingual NLG Benchmarking in a Single Line of Code (2022) — 43 citations
- Encoding Gated Translation Memory into Neural Machine Translation (2018) — 55 citations
- Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation (2016) — 92 citations
- HHMM-based Chinese Lexical Analyzer ICTCLAS (2003) — 485 citations
- Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue (2019) — 19 citations
- Large Language Model Alignment: A Survey (2023) — 326 citations
- Neural Machine Translation With GRU-Gated Attention Model (2020) — 110 citations
- BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels (2019) — 34 citations
- Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches (2017) — 101 citations