Quan Z. Sheng
Artificial Intelligence · The Web Conference · 2002–2021
A researcher in the Science corpus: 12 papers; trusts 154 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 274 citations into it; #18,621 of 35,345 by trust here, #11,327 by citations
- Information Systems — 115 citations into it; #3,800 of 8,771 by trust here, #1,933 by citations
- Computer Vision and Pattern Recognition — 86 citations into it
- Statistical and Nonlinear Physics — 77 citations into it
- Computer Networks and Communications — 68 citations into it; #8,754 of 9,886 by trust here, #2,539 by citations
- Natural Language Processing — 59 citations into it
- Management Science and Operations Research — 33 citations into it
- Molecular Biology — 32 citations into it
Whom Quan Z. Sheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Tomas Mikolov
- J. Hendler
- Kaiming He
- Sheila A. McIlraith
Who trusts Quan Z. Sheng overall
Papers from Quan Z. Sheng's perspective
Ordered by how strongly the researchers Quan Z. Sheng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Online human gesture recognition from motion data streams (2013) — 91 citations
- Multi-document Summarization via Deep Learning Techniques: A Survey (2020) — 162 citations
- Sequential Recommender Systems: Challenges, Progress and Prospects (2019) — 517 citations
- A Survey on Session-based Recommender Systems (2019) — 614 citations
- A Comprehensive Survey on Graph Anomaly Detection With Deep Learning (2021) — 830 citations
- A Comprehensive Survey on Community Detection With Deep Learning (2021) — 454 citations
- IoT Middleware: A Survey on Issues and Enabling Technologies (2017) — 641 citations
- When things matter: A survey on data-centric internet of things (2016) — 328 citations
- Web services composition: A decade's overview (2014) — 419 citations
- Quality driven web services composition (2003) — 1,295 citations
- The Self-Serv Environment for Web Services Composition (2003) — 586 citations
- Declarative composition and peer-to-peer provisioning of dynamic Web services (2002) — 450 citations