Wang Chiew Tan
Artificial Intelligence · 2000–2020
A researcher in the Science corpus: 9 papers; trusts 49 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 57 citations into it; #8,537 of 35,345 by trust here, #10,430 by citations
- Natural Language Processing — 24 citations into it
- Computer Networks and Communications — 21 citations into it; #999 of 9,886 by trust here, #1,046 by citations
- Management Science and Operations Research — 21 citations into it; #7,221 of 11,946 by trust here, #7,262 by citations
- Computer Science Applications — 13 citations into it
- Information Systems — 13 citations into it; #3,109 of 8,771 by trust here, #3,098 by citations
- Signal Processing — 12 citations into it; #4,759 of 7,572 by trust here, #6,083 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Wang Chiew Tan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald Fagin
- Jennifer Widom
- Maurizio Lenzerini
- Peter Buneman
- Geoffrey E. Hinton
- Tomas Mikolov
- Yoshua Bengio
- Phokion G. Kolaitis
- Ilya Sutskever
- Sepp Hochreiter
Who trusts Wang Chiew Tan overall
- Jennifer Widom
- Alon Y. Halevy
- Omar Benjelloun
- J. Cheney
- Nicolas Bruno
- Sanjay Krishnan
- Yinjun Wu
- Hui Miao
- Rajendra Bose
- Jason Reed
Papers from Wang Chiew Tan's perspective
Ordered by how strongly the researchers Wang Chiew Tan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Deep entity matching with pre-trained language models (2020) — 516 citations
- Query-Oriented Data Cleaning with Oracles (2015) — 58 citations
- Asking the Right Questions in Crowd Data Sourcing (2012) — 85 citations
- Provenance in Databases: Why, How, and Where (2009) — 775 citations
- An annotation management system for relational databases (2004) — 338 citations
- Composing schema mappings: second-order dependencies to the rescue (2004) — 305 citations
- Keys for XML (2001) — 536 citations
- Why and Where: A Characterization of Data Provenance (2001) — 1,490 citations
- SilkRoute: trading between relations and XML (2000) — 321 citations