Shujian Huang
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 8 papers; trusts 167 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 188 citations into it; #26,987 of 35,345 by trust here, #5,084 by citations
- Natural Language Processing — 136 citations into it
- Computer Vision and Pattern Recognition — 63 citations into it; #18,969 of 21,575 by trust here, #7,249 by citations
- Evaluation & Benchmarks — 38 citations into it
- Model Architectures — 30 citations into it
- Information Systems — 23 citations into it
- Optimization & Training — 14 citations into it
- Management Science and Operations Research — 10 citations into it
Whom Shujian Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Kyunghyun Cho
- Yann LeCun
- Alex Krizhevsky
- Michael Collins
- Oriol Vinyals
- Philipp Koehn
Who trusts Shujian Huang overall
Papers from Shujian Huang's perspective
Ordered by how strongly the researchers Shujian Huang 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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
- Findings of the 2017 Conference on Machine Translation (WMT17) (2017) — 543 citations
- Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder (2017) — 152 citations
- Deep Matrix Factorization Models for Recommender Systems (2017) — 995 citations
- Generating Sentences from Disentangled Syntactic and Semantic Spaces (2019) — 122 citations
- Online Distilling from Checkpoints for Neural Machine Translation (2019) — 34 citations
- Chunk-Based Bi-Scale Decoder for Neural Machine Translation (2017) — 20 citations
- A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily (2023) — 298 citations
- A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing (2017) — 9 citations