Chaojun Xiao
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 10 papers; trusts 126 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 372 citations into it; #24,977 of 35,345 by trust here, #8,439 by citations
- Natural Language Processing — 208 citations into it
- Computer Vision and Pattern Recognition — 116 citations into it
- Large Language Models — 72 citations into it
- Information Retrieval & Search — 32 citations into it
- Information Systems — 28 citations into it
- Political Science and International Relations — 18 citations into it; #2,127 of 4,701 by trust here, #590 by citations
- Management Science and Operations Research — 15 citations into it
Whom Chaojun Xiao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoon Kim
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Jacob Devlin
- Ilya Sutskever
- Tomas Mikolov
- Alex Krizhevsky
- Jimmy Ba
- Yann LeCun
Who trusts Chaojun Xiao overall
- Haoxiang Zhong
- Cunchao Tu
- Jimmy J. Lin
- Zhiyuan Liu
- Ilias Chalkidis
- Jianlin Su
- Lucia Zheng
- Maosong Sun
- Tianyang Zhang
Papers from Chaojun Xiao's perspective
Ordered by how strongly the researchers Chaojun Xiao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- CPM-2: Large-scale Cost-effective Pre-trained Language Models (2021) — 101 citations
- CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction (2018) — 370 citations
- Tool Learning with Foundation Models (2023) — 420 citations
- Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents (2021) — 351 citations
- More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction (2020) — 158 citations
- How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence (2020) — 435 citations
- JEC-QA: A Legal-Domain Question Answering Dataset (2019) — 220 citations
- Adversarial Language Games for Advanced Natural Language Intelligence (2019) — 8 citations
- CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain (2019) — 82 citations
- Legal Judgment Prediction via Topological Learning (2018) — 359 citations