Rujun Han
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 7 papers; trusts 65 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 106 citations into it; #12,995 of 35,345 by trust here, #14,718 by citations
- Natural Language Processing — 52 citations into it
- Computer Networks and Communications — 22 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Molecular Biology — 17 citations into it
- Large Language Models — 14 citations into it
- Information Extraction — 8 citations into it
- General Social Sciences — 7 citations into it
Whom Rujun Han trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Qiang Ning
- Nathanael Chambers
- Jacob Devlin
- Dan Roth
- Hao Wu
- Marc Verhagen
- Steven Bethard
- Timothy J. O'Gorman
- Ben Zhou
- Ming-Wei Chang
Who trusts Rujun Han overall
- Shuaicheng Zhang
- Xiang Ren
- Nanyun Peng
- Haoyu Wang
- Lifu Huang
- Liyuan Wang
- Ying Lin
- Qiang Ning
- I-Hung Hsu
- Heng Ji
Papers from Rujun Han's perspective
Ordered by how strongly the researchers Rujun Han trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions (2020) — 128 citations
- Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction (2019) — 134 citations
- Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding (2019) — 22 citations
- Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference (2020) — 55 citations
- Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction (2020) — 43 citations
- Deep Structured Neural Network for Event Temporal Relation Extraction (2019) — 69 citations
- ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning (2020) — 70 citations