Man Lan
Artificial Intelligence · 2009–2019
A researcher in the Science corpus: 5 papers; trusts 39 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 88 citations into it; #16,089 of 35,345 by trust here, #15,866 by citations
- Natural Language Processing — 72 citations into it; #3,168 of 5,688 by trust here, #2,767 by citations
- Representation & Self-Supervised Learning — 26 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Information Retrieval & Search — 7 citations into it
- Optimization & Training — 5 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
- Social Sciences & Humanities — 5 citations into it
Whom Man Lan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Karen Spärck Jones
- Richard Socher
- Diederik P. Kingma
- Christopher D. Manning
- Geoffrey E. Hinton
- Tomas Mikolov
- Sepp Hochreiter
- Yoshua Bengio
- Ilya Sutskever
Who trusts Man Lan overall
- Fragkiskos D. Malliaros
- M. Devika
- Lasha Abzianidze
- Ergun Biçici
- Konstantinos Skianis
- C. Adline Sunitha
Papers from Man Lan's perspective
Ordered by how strongly the researchers Man Lan trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- ECNU: One Stone Two Birds: Ensemble of Heterogenous Measures for Semantic Relatedness and Textual Entailment (2014) — 105 citations
- Exploring Human Gender Stereotypes with Word Association Test (2019) — 27 citations
- ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity (2017) — 79 citations
- Supervised and Traditional Term Weighting Methods for Automatic Text Categorization (2009) — 604 citations
- Conference on Empirical Methods in Natural Language Processing Proceedings of the Fourth International Workshop on Natural Language Processing for Social Media Socialnlp@emnlp2016 Chairs' Welcome Identifying and Categorizing Disaster-related Tweets Why Do They Leave: Modeling Participation in Online