Bo Han
Artificial Intelligence · with Baldwin · 2011–2014
A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
- Natural Language Processing — 14 citations into it
- Geography, Planning and Development — 10 citations into it; #155 of 489 by trust here, #242 by citations
- Signal Processing — 9 citations into it; #4,073 of 7,572 by trust here, #5,570 by citations
- Evaluation & Benchmarks — 8 citations into it
- Transportation — 8 citations into it; #782 of 2,062 by trust here, #1,428 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Bo Han trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Stolcke
- Timothy Baldwin
- Marco Lui
- Huaiyu Zhu
- Yiming Yang
- Daniel Klein
- Stephen Roller
- Christopher D. Manning
- Zhiyuan Cheng
- Vladimir Naumovich Vapni
Who trusts Bo Han overall
- Jacob Eisenstein
- Grzegorz Chrupała
- Miles Osborne
- Mark Dredze
- Dong Nguyen
- Umashanthi Pavalanathan
- Leon Derczynski
- Felix Wu
- Arkaitz Zubiaga
- Ugur Kursuncu
Papers from Bo Han's perspective
Ordered by how strongly the researchers Bo Han 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)
- 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
- Text-Based Twitter User Geolocation Prediction (2014) — 321 citations
- Geolocation Prediction in Social Media Data by Finding Location Indicative Words (2012) — 216 citations
- Lexical Normalisation of Short Text Messages: Makn Sens a #twitter (2011) — 575 citations