Siu Cheung Hui
Artificial Intelligence · 2006–2021
A researcher in the Science corpus: 11 papers; trusts 444 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 233 citations into it; #8,115 of 35,345 by trust here, #8,439 by citations
- Natural Language Processing — 126 citations into it; #2,530 of 5,688 by trust here, #2,846 by citations
- Computer Vision and Pattern Recognition — 89 citations into it; #17,158 of 21,575 by trust here, #13,542 by citations
- Information Systems — 56 citations into it; #1,486 of 8,771 by trust here, #2,821 by citations
- Model Architectures — 38 citations into it
- Privacy & Security — 32 citations into it
- Evaluation & Benchmarks — 26 citations into it
- Representation & Self-Supervised Learning — 25 citations into it
Whom Siu Cheung Hui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Jimmy Ba
- Alex Krizhevsky
- Richard Socher
- Ilya Sutskever
- Steffen Rendle
- Yann LeCun
- Kaiming He
Who trusts Siu Cheung Hui overall
- Yi Tay
- Aminu Da’u
- Xiangnan He
- Shuai Zhang
- Anh Tuan Luu
- Xiang Wang
- Yonatan Belinkov
- Naomie Binti Salim
- Qian Chen
- Kai Sun
Papers from Siu Cheung Hui's perspective
Ordered by how strongly the researchers Siu Cheung Hui 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
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Multi-range Reasoning for Machine Comprehension (2018) — 36 citations
- Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters (2021) — 95 citations
- CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation (2018) — 27 citations
- Collecting and Analyzing Multidimensional Data with Local Differential Privacy (2019) — 394 citations
- Multi-Pointer Co-Attention Networks for Recommendation (2018) — 308 citations
- Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks (2019) — 71 citations
- Densely Connected Attention Propagation for Reading Comprehension (2018) — 48 citations
- Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking (2017) — 322 citations
- A Compare-Propagate Architecture with Alignment Factorization for Natural Language Inference (2017) — 71 citations
- Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy (2016) — 215 citations
- Automatic fuzzy ontology generation for semantic Web (2006) — 407 citations